This Year's Abstracts More to come!
Keynotes
| Presentation Title | Presentation Abstract | Presenter(s) |
|---|---|---|
| MBE Readiness and the Supply Chain | As we reflect on the extensive sharing and learning during GPDIS 2023, a Panel discussion centered on “MBE Readiness and the Supply Chain” will be held on Thursday, September 21. Moderated by Melissa Fleener, VP of Business and Digital Transformation – Supply Chain from Boeing and involving participants from GPDIS Partners, Northrop Grumman and Parker, and other Industry companies, the Panel will probe Supply Chain readiness: its complexities and challenges. The discussion will pursue such questions as: what are the value propositions driving digital engineering and the supply chain? Do our company strategies adequately account for the challenges of interoperability – can the supply base consume the interoperable data and provide interoperable data back? Have we identified best practices around collaboration an what lessons have we learned so far? The Panel will explore current barriers to collaboratively design product and whether we are addressing them with the urgency that may be required. Importantly, are the OEMs providing the necessary guidance whether on key standards adoption or other matters? Do we have the needed metrics in place and what more should we be doing? |
Melissa Fleener VP of Business and Digital Transformation – Supply Chain The Boeing Company |
| Exploring The Supply Chain Digital Thread | Historically, the digital thread focused heavily on engineering and began to expand into manufacturing in recent years. But when it comes to other users of digital data, the thread is cut and downstream teams are back to using disconnected, manually managed and semi-automated tools. I’d like to explore the ways Northrop Grumman is looking to address the connection of the digital thread through the internal and external supply chain leveraging digital tools and data analytics to assist in faster decision-making. | Tamara Lewis Director Digital Transformation Northrop Grumman |
PLM Abstracts
| Presentation Title | Presentation Abstract | Presenter(s) |
|---|---|---|
| How to Effectively Leverage Digital Thread to support the Model-Based Enterprise | Achieving a Model-Based Enterprise requires an effective Digital Thread strategy. The key value of Digital Thread is traceability between the elements of the various Model-Based representations (Model-Based Definition, Model-Based Engineering, Model-Based Systems Engineering, and others). That traceability is enabled with relationships between the elements, making the nature of the information retained by these relationships critical to the effectiveness of the traceability. Traceability based on URL-like relationships is static and does not evolve with the product’s lifecycle, limiting its effectiveness, while traceability based on semantically rich relationships that model maturity of the design and related processes throughout lifecycle offers significant benefits. This is because evolving maturity of relationships enables the generation of highly specialized views in context of a specific task, and reflects who is performing the task, for what purpose, and under conditions that may or may not be engineering specific. This presentation will discuss the key characteristics of Digital Thread relationship maturity modeling, indicators, and evolution. It will include examples of the underlying value to the enterprise, and ways to achieve an effective Digital Thread strategy. The presentation will also discuss the key role Product Lifecycle Management systems play in reaching the full potential of a Model-Based Enterprise. |
Pawel Chadzynski Sr. Dir., Product Marketing Aras Corp. |
| Managing Digital Transformation in a Heterogeneous Modeling Environment | While planning for digital transformation, businesses have to generally deal with a heterogeneous environment and are reluctant to forego their investment in their legacy tool suites. In a Model Based environment this situation exacerbates as knowledge exchange between the models relies heavily on documents, thus reducing the impact of a model based strategy. Dassault Systemes Powered by 3DEXPERIENCE platform is a strategy that helps businesses reap the benefits of digital transformation by connecting non-DS and DS Modeling & Simulation solutions on the 3DEXPERIENCE platform. This facilitates the data management and collaboration between heterogeneous environments by establishing a digital thread and harnessing the power of the platform with capabilities including but not limited to Visualization, Project Management, Requirements Management, BOM Management, Configuration & Change Management, Social collaboration and Dashboards. | Sanjay Khurana Director, MBSE Industry Process Consulting Dassault Systèmes |
| Unlocking Business Potential: Transforming Technology, Governance, and Data in the Digital Era | Focusing on three key aspects, Technology, Governance, and Data. Paul and Max will discuss optimizing Technology systems and applications for seamless data flow, Governance, and the transformation of business models and corporate organizations to support and scale agile digital thread platforms and the development of a structured framework for authoring and communicating model-based Data across the ecosystem. | Paul Kaiser Global PLM Director Moog Inc Max Gravel Model-Based Engineering Manager Moog Inc |
| Supply Chain Strategies to Achieve Resiliency and Avoid Risk | Supply Chain Strategies to Achieve Resiliency and Avoid Risk – A discussion into the benefits of connecting your Supply Chain with your PLM Risks will never go away but building a resilient and sustainable supply chain can better position organizations to avoid disruption and related issues. This fundamental concept can and should extend throughout your model-based product development process from ideation to operation. By connecting your supply chain information with your model-based product definition, you can drastically evolve your business, starting with your NPDI process. Direct benefits can include minimizing your time to market, maximizing profitability, improving quality, and understanding and ensuring compliance throughout. We will explore how you can take your design process to a new level to contextualize design decisions and collaborate earlier with your suppliers. Additionally, we will discuss how closed feedback loops help accelerate innovation and explore the key role of product design in sustainability initiatives to cut emissions and remove waste from the supply chain. |
Thomas Hereford SAP Jim Osborne SAP |
| SAP/Siemens – An Integrated Digital Thread | The SAP and Siemens partnership was conceived with a singular vision, to deliver a comprehensive, integrated, cloud enabled PLM portfolio that offers the combined value expected from these two market leading solution providers. The SAP Teamcenter PLM portfolio establishes a complete digital thread from the initial design of a product thru its entire lifecycle across the enterprise. The solution provides a fully integrated, bi-directional digital twin covering the major integration points, and standardized process scenarios out of the box, enabled across all facets of the business. | Thomas Hereford Global Sr. Director, COE, Digital Supply Chain SAP |
| Connecting the Digital and the Physical to Unlock Enterprise Value | In the intricate landscape of advanced manufacturing, the fusion of Information Technology (IT) and Operational Technology (OT) isn’t just about meeting today’s needs – it’s about paving the way for tomorrow’s innovations. This presentation will illuminate how state-of-the-art software synchronizes with cutting-edge hardware, like robotics and automation, to sculpt a harmonized, future-proof manufacturing environment. Through the lens of advanced data analytics and robust cybersecurity, we’ll ensure precision and safeguarding of high-value processes in this ever-evolving digital age. Venturing beyond the immediate, we’ll delve into the transformative capabilities of artificial intelligence (AI), a cornerstone for the forthcoming industrial metaverse. AI facilitates not just predictive maintenance and real-time quality assurance, but positions manufacturers at the cusp of a new digital frontier. The linchpin? Digital data standards. By establishing and adopting rigorous, universal standards today, companies can ensure seamless integration into the industrial metaverse, unlocking future innovative capabilities and fostering global collaborations. Join us to discover how the strategic union of software, hardware, and standardization isn’t just about competitiveness in the now, but about anchoring a company’s position in the future landscape of manufacturing. |
Henri Thevenot A&D Industry Strategist Siemens Rob Stiefel Director Digital Industries Automation A&D Siemens |
Standards Abstracts
| Presentation Title | Presentation Abstract | Presenter(s) |
|---|---|---|
| The MBx Implementor Forum | The MBx Implementor Forum is a joint testing effort between AFNeT, PDES, Inc. and prostep ivip. The objective of the forum is to accelerate MBx translator development and ensure that users’ requirements are satisfied. The MBx Implementor Forum is an approach to establish a common test activity in the CAD and CAE areas by merging AFNeT’s, PDES, Inc.’s STEPnet and prostep ivip’s RoundTable activities in this area. The goals of the MBx Implementor Forum are to:
The MBx Implementor Forum is significantly improving STEP translator quality and decreasing translator time-to-market. |
Phil Rosche Advanced Collaboration Consulting Resources |
| Standards-Compliant TDPs in Action | To unlock the future of the Manufacturing Digital Twin (MDT), both the Department of Defense (DOD) and commercial organizations must embrace the power of consistent, repeatable, and automatable engineering data that is truly useful to users. This endeavor is made possible through the collaborative efforts of esteemed standards organizations at both national and international levels, tirelessly working towards achieving seamless, interoperable data exchange. In this presentation, we unveil four capabilities of 3D Model-Based Definition (MBD) within Technical Data Packages (TDPs). Each capability represents a distinct use case, accompanied by a comprehensive exploration of the associated benefits and measurable metrics. What sets these use cases apart is their adherence to the rigorous standards set by influential bodies such as ASME, ISO, MIL-STD, MTConnect, and QIF. We bring these four high-value manufacturing scenarios to life, demonstrating the power and potential of standards-compliant 3D MBD TDPs in action. Using interoperability specialized software tools, we show how the future of manufacturing is being shaped through this achievable approach.
|
Jennifer Herron Action Engineering |
| STEP AP242 and AP243 – Consistently defined complex products and their context | To define complex products across an industrial digital thread, a consistent technical data and context representation is necessary to formulate a consolidated understanding across a portfolio of interconnected product families. This consistent foundational representation permits a network of tools to be built organically from the needs and requirements of the engineering teams involved, without losing data integrity. Here we will discuss and demonstrate how the STEP standards AP242 and AP243 can be used to build this foundational technical and contextual data representation. |
Bernd Feldvoss PLM Interoperability Standard Specialist Airbus Kyle Hall Data Driven System Engineer Airbus |
| LOTAR Overview | We will provide an overview about LOTAR project and give some insights how project is organized and running. This will provide you some information about what is done within the LOTAR project, which working groups are active and how you could join and contribute to this project. Mission, scope and objective will be explained and what are the goals and benefits of joining. In addition we will show how LOTAR is collaborating with MBx Interoperability Forum with CAx IF, PDM IF and EWIS IF. |
Jeff Klein The Boeing Company Bernd Feldvoss PLM Interop Standards Specialist Airbus |
| Distributed Configuration Management | Instead of building a complex system from scratch, Boeing’s Technical Publications is building Multi-Stage Engine that can evolve one stage at a time. S1000D SNS provides end-to-end capability across the stages, and other industry standards produce tailored content for a diverse, heterogeneous customer base. We cannot assume Boeing’s partners will use Boeing preferred software. The Distributed State Machine extends change management, and configuration management to Boeing’s partners. The Multi-Stage Engine and Distributed State Machine are both needed to accelerate synchronization across the Multi-Stage Engine, and across a complex partner network. Distributed State Machine is a proposed industry protocol for change management and configuration management. Digital signatures validate change packages and update the in-service vehicle’s configuration. Privacy concerns are a reality for every industry. The indentured parts list, in the change package, is distributed. Related industry standards: STEP AP242, and XML are separate and centrally controlled. The same digital signatures enable access to the vehicle’s current content. A 10X benefit is expected due to quick access to an accurate, INTEROPERABLE, in-service vehicle configuration. |
Bryan Solstin Systems Engineer Boeing Customer Support PD The Boeing Company |
| Standardization of digital human model joint definitions | Many organizations use digital human model data in a range of contexts and simulation applications. From manufacturing and design, ergonomics evaluations, XR environments, and sales and marketing content, digital human models are used widely. It is necessary for posture data from one context with digital human models to be accurately replicated in another software. Since each digital human and digital human modeling software employs unique and independent implementation of their models, there is no standard mapping of joint information from one software to another. This makes exchanging or representing posture data from one digital human model software to another difficult. Because there is not a standard mapping of digital human modeling software joints, joint and kinematic human structure, etc, it is challenging to replicate postures of a digital human model in one software to another. Standardization of joint definitions and digital human model kinematic models would enable accurate and easy sharing of posture data between digital human modeling programs. This paper proposes the development of a standard for human model joint definitions, inviting collaboration between industry practitioners, digital human model software companies, and research and academic institutions. |
Craig Palmer Senior IVT Developer The Boeing Company |
| Data Interoperability Standards Utilization Survey | Aerospace and Defence Product Lifecycle Management Action Group created and distributed an internal survey to determine utilization of interoperability standards across the aerospace industry within its membership. In addition to base utilization, utilization within product lifecycles were identified and consolidated and summarized to better understand how these standards are being consumed by member organizations. Basic learnings and understandings will be presented and potential future directions will be discussed. | Jamie Yedinak Interoperability Standards Engineer The Boeing Company |
| Collaboration Standards | Collaboration among Original Equipment Manufacturers (OEMs) and their product design and manufacturing engineering partners and suppliers is key to any major aerospace and defense (A&D) program. Process analysis by an A&D PLM Action Group (AD PAG) project team has shown that the exchange of product data, such as 3D-MBD, Bill of Materials (BOM), and Model-Based Engineering (MBE), between multiple OEMs and suppliers presents a challenge within the industry. Currently, the exchange methods for long-term collaboration between OEMs and suppliers are independent and exclusive environments and protocols, each unique and complex. Improving the consistency, efficiency and use of Standards and A&D PLM guidelines for establishing and managing OEM-supplier collaboration can significantly improve cost, schedule, and quality across all phases of the product lifecycle. This presentation offers a new “Desired State” for managing OEM-supplier collaboration strategies through the application of and adherence of ISO standards and guidelines defined by the A&D PAG project team. A description and brief demonstration of the Collaboration Management System (CMS) application will be shared, including the OEM-supplier evaluation pilot results and User Experience (UXE) feedback. | Ansel Koehler PLM Capabilities Development The Boeing Company Neil K. Lichty Supplied Parts Technical Fellow The Boeing Company |
| A Practical Approach to Implementing STEP | Implementation of STEP in the Digital Enterprise offers tremendous potential benefits for MBD design and manufacturing but it is also a large disruptor to current system architecture ecosystems, authoring methods, and processes. How do OEMs ensure internal STEP implementations are a full solution to meet business needs and manage the change? Multiple entities, including academia, standards organizations, and industry experts have invested thousands of hours developing MBD requirements for maturing the STEP standard. And while Boeing has been involved in these efforts the lack of an internal comprehensive view of what use cases are currently supported, future development roadmap, and understanding of what hasn’t been accounted for has contributed to chaos in designing future production systems. This presentation will describe the approach Boeing has taken to pause in the storm of change, define the baseline of use cases and MBD requirements for STEP, benefits and liabilities, and outlines a path forward for more broader and complete implementation within the company. |
Melissa Harvey Enterprise Architect The Boeing Company |
| PDES TAC Technical Management Plan | PDES, Inc. is an international industry, government, and university consortium committed to accelerating the development and implementation of standards for product data exchange in the Digital Enterprise. The PDES mission has evolved to support the Digital Enterprise through the development, testing, and implementation of information standards to support Model-based Engineering, Model-based Manufacturing, and Model-based Sustainment. PDES has two annual offsite meetings where technical work is accomplished. As part of the offsite meetings, the Technical Advisory Committee (TAC) meets to communicate the plan for development work for the upcoming year. |
Patrick Walsh Standards Interoperability Engineer The Boeing Company |
| Recent Developments in the Harmonization of ISO 10303 STEP and ASME Y14.37 Composite Material Standards | Multi-year efforts to harmonize the composite material standards specified by ISO 10303 and ASME Y14.37 during the period of 2017 through 2023 are described. Testing of the additional capabilities in ISO 10303 STEP by the CaX-IF Forum are also documented. The initial harmonization resulted in the addition of several new Rosette (major and minor fiber direction specification) types for plies and ply pieces within a laminate table. Subsequent testing and harmonization efforts brought forward the requirement to specify both nominal Engineering and Manufacturing Edge of Part/Ply (EEOP, MEOP). In order to support the Cax-IF testing of these capabilities the enhancement of recommended practices is discussed along with the addition of composite-specific validation properties. Finally, the joint ISO-ASME composite team work specifying Limited Length or Area Indicator (LLAI) requirements is described along with some details of the resulting implementation. In conclusion future work in propagating the ISO 10303 STEP composites capabilities from the mechanical design Application Protocol (AP) 10303-242 to the Manufacturing AP 10303-238 will be described. |
Keith Hunten Consultant |
| Enabling Digital Enterprise – Moving Interoperability Standards Forward | presentation will cover the history of PDES collaboration in Data interoperability standards (STEP) and long term archiving and retrieval (LOTAR), collaboration and discuss how the businesses can support the acceleration of development, testing and implementation of standards | Brian Chiesi GM PDES, INC |
| Prostep ivip at a glance | One main goal of prostep ivip is to accelerate and improve collaborative product development across companies. All our twenty-five running projects cover various aspects to support this. The Digital Data Package (DDP) project group, for example, has defined a standardized container format for the exchange of machine-readable and human-readable product data, allowing the exchange of and collaboration on semantic product data. In prostep ivip, we are now facing the challenge of also supporting new ways of collaboration. With this in mind, we have set up a new initiative called Collaborative Digital Twins, with a focus on empowering our members to establish and use collaborative digital twins, and herewith ease data-driven strategic decision-making. The Smart Systems Engineering project is striving for solutions to enable collaborative simulation-based engineering, meanwhile focusing on a multi-tier supply chain. This presentation gives an overview of ongoing activities in prostep ivip. | Nora Tazir Technical Program Manager prostep ivip |
MBSE Abstracts
| Presentation Title | Presentation Abstract | Presenter(s) |
|---|---|---|
| MoSSEC – Standardized context to unlock robust digital continuity | Modelling and Simulation information in a collaborative Systems Engineering Context. A crucial puzzle piece to record the context behind the engineering decision making process. Through its application MoSSEC enables Engineering Architects to understand the exchanges between their Modelling and Simulation capabilities across an Extended Enterprise using a robust, stable and value-proven ISO methodology. This presentation will demonstrate through realistic engineering scenarios the criticality of effective contextual metadata sharing, recording and archival. |
Kyle Hall Data Driven System Engineer Airbus |
| Engineering Data Quality | As our industry moves further into its digital age by adopting Model Based Engineering, we are seeing an exponential growth in the amount of engineering data needed for a Technical Data Package (TDP). Engineering data is the attributes, notes, and annotations attached to our models. It’s even in the way we organize that data. The topic of organizing engineering data has become so popular, that even ASME has gotten involved with it, and for decades we’ve had to manually enter, attach, or arrange this data for each TDP; sometimes even in multiple systems. Ensuring that the quality of this engineering data is consistent and correct requires a knowledge of the requirements and a willingness to validate them, but what if it didn’t? The topic of this presentation will addresses the issues of engineering data entry on the industry and the impact if we do nothing. It will also provide possible solutions that, if implemented correctly, will remove the mundane task of data entry from the hands of our industries greatest resource, the engineer, by using quality rules and checks built within models themselves to validate, enter, and possibly fix data in real time. |
Jonathon Sutton Engineering Tech Specialist Boeing |
| MBSE Reference Framework Digital Collaboration | Boeing’s MBSE Reference Framework for Digital Collaboration. As the Industry evolves from written requirements, and schematics to Digital Systems Models, we see more collaboration opportunities between OEMs and suppliers and between Customers and Contractors. But such Opportunities come also with Challenges. Sharing and co-developing models that originate from various engineering disciplines continues to bring various challenges: the need to protect Intellectual Property (IP), maintaining a common version and configuration, agreeing on a Systems scope and Boundary, communicating Design Intent, and implementing different sharing and synchronization methods. This presentation addresses part of Boeing’s Digital Collaboration Standardization strategy broken down into Use Cases, “What” to share and “How” to achieve Digital Collaboration. First the Collaboration “Use Cases” are defined by the Supplier Engagement Framework (SEF) that classifies OEM – Supplier MBE engagements. Second, the “What” data needs to be shared is presented as part of the Digital Technical Data Package (D-TDP) and providing an Aerospace instantiation example. Finally, the presentation will focus on the new MBSE Reference Framework, a new Metamodel that provides a reference on “How” the data needs to be shared, including a MBSE OEM Reference Model, Reference libraries, Modeling Guidelines and OEM-Supplier common modeling plans. |
Juan Carlos Mendo MBSE Tech. Leader The Boeing Company |
| Digital continuity, consistency and interoperability along the product life-cycle using graph-based design languages | Digital continuity (of processes), digital consistency (of data) and digital interoperability (of software tools) along the product life cycle (PLC) are key to a future successful digitalization and information processing in industry. However, the status quo in industry is still characterized by data lakes, knowledge islands, data silos and fragmentation of software. This stems from the fact that the flow of information has evolved over decades and is distributed across disciplines, companies and systems. As a result, many companies developed proprietary software systems using proprietary data formats which make an easy, seamless and efficient exchange of data between different programs difficult if not even impossible. The talk will elaborate how these deficiencies may be eliminated by so-called graph-based design languages, which allow a consistent data and design information exchange along the entire product life-cycle using abstract ontologies. These ontologies are the thesaurus of graph-based design languages which can be translated by a compiler into executable simulation models. This allows design automation in form of a machine-executable version of the V-Model of Model-Based Systems Engineering. The underlying theory and a recent industrial case study together with AIRBUS in designing a hydraulic subsystem will be used to illustrate the approach. |
Stephan Rudolph IILS mbH Stephan Rudolph University of Stuttgart |
| MBSE – End-to-End Electrical Engineering | With increased product complexity organizations face many challenges bringing quality products to market. A MBSE end-to-end electrical approach allows customers to design, manage, and simulate their product development process with full traceability. This presentation will discuss the methodology for creating a virtual twin from systems architecture through wire harness development. The components involved will include requirements, functional, logical, and physical definitions managed in a single platform. |
Cin’Quan Haney Inceptra James Carr Inceptra |
| MBSE Standards Collaboration for Interoperability and Integration | With the proliferation of models in Systems Engineering, there’s a need to enable model-based collaboration within an enterprise as well as externally between customers, partners, and suppliers. Model interoperability and integration standards enhance this collaboration. It turns out these interoperability and integration standards are often developed by different standards bodies and organizations which find themselves in the position of needing to work together to provide a robust collaboration ecosystem. This presentation will discuss how several influential Systems Engineering standards organizations – PDES, Inc., INCOSE (International Council on Systems Engineering), MoSSEC, and LOTAR (Long Term Archiving and Retrieval) are working together to further enhance MBSE (Model- Bsed Systems Engineering) interoperability and integration. |
Greg Pollari INCOSE TIMLM WG Co-Chair INCOSE John Nallon INCOSE TIMLM WG Chair INCOSE |
| MBSE Where We came from and Where We are Today | MBSE Where We came from and Where We are Today: – From the late 1990’s to the mid 2020’s there has been standards development activities relevant to systems engineering that were motivated by the absence of the ability to pull data from the tools used by the diverse number of engineering disciplines with which systems engineering activities needed to interface. Languages have also evolved to plug gaps in domain modelling. – During this period there has been much parallel progress in standards and technologies relevant to structuring information and or pulling information from diverse sources: W3C (XML, WSDL, SOAP, RDF, OWL, HTML5, javascript…); OMG (MDA, UML…); OASIS (AP239/PLCS, …); ISO (15288, …) – There also has been significant advances in open source development languages, environments and frameworks, with a level of maturity commensurate with industrial adoption (Linux, Eclipse, DODAF/MODAF/UPDM…), coupled with the significant increases in computer power. This is 2023. Do systems engineers now have the tools and standards infrastructure that enable easy access to the information they require to execute MBSE? This will be an open discussion lead by INCOSE and PDES experts to discuss the historical significance of the past, present, and future of MBSE, MBSE Standards and what to expect for today’s MBSE footprint in the future. | John Nallon TIMLM WG Chair INCOSE Kenneth Venzant Optical Systems Engineer Northrtop Grumman |
| Linking Design Requirements to FMUs to create LOTAR compliant mBSE models | Long Time Archiving and Retrieval (LOTAR) of models is key to using the full capabilities of model-Based System Engineering (mBSE) in a system design lifecycle. LOTAR supports model exchange, reuse and the long-term preservation of data representing our valuable product designs and knowledge. The PDES-LOTAR MBSE workgroup is writing the EN/NAS 9300-Part 5xx specifications to standardize the associated process, across the aerospace industry. These technologies are developed and adapted to each specific MBSE modeling domain, including: product, part, and functional architectures; developing and verifying design requirements; analytical and behavior modeling; and linking data across multiple models. For the purpose of creating simulation models, the group recommends using the Modelica, FMI (Functional Mockup Interface) and SSP (System Structure and Parameterization) standards. The LOTAR process requires the integration of industrial data, vendor software tool implementations, and data standards. For the purpose of this example, the archive process was greatly enhanced by developing a tool-agnostic linking model using the Modelon Impact software. The initiative to create the international standard relies on developing prototypes that couple the engineering process with industrial data in a repeatable workflow of procedures. The recommendations proposed in this report were developed as one of those prototypes with the intent of significantly improving future LOTAR implementations and promoting the adoption of these standards across multiple industries. | Clément Coïc Team Leader Aerospace Modelon |
| MBSE Stack DevSecOps | The maturation of the MBSE toolchain has brought with it an increase in deployment complexity as well as higher resource demands. As usage becomes more ubiquitous among organizations (to a large degree due to the added capabilities, and therefore higher value added to the organizations), the need for proper DevSecOps becomes critical in order to provide a resilient and scalable environment Many organizations do not recognize the fact that this is an Enterprise Application serving in many cases thousands of end users. While of no lesser importance than applications such as Enterprise Resource Planning, the rollout and life cycle of the MBSE Stack needs to be properly planned and executed to ensure optimal performance, scalability, and resiliency. A critical component of this strategy relies on continuous monitoring of the stack to isolate potential problem areas as well as continuous optimization of the environment. An often overlooked aspect in this lifecycle is the proper planning and execution of a disaster recovery plan. As organizations reach the level requiring elastic scalability of microservices, the complexity of the deployments in many cases will pose a barrier of entry for many organizations, unless established reference deployments and frameworks are promulgated. |
Benjamin Krajmalnik Sr. Staff Engineer Software Northrop Grumman |
| Model Based Digital Navigation Between ASoT Systems | Case Study: Model Based Digital Navigation between ASoT Systems New acquisition programs are requiring comprehensive model based digital engineering of the proposed system and the digital engineering environment used for development and sustainment. Digital navigation between Authoritative Source of Truth (ASoT) systems is a growing industry technology which most DoD companies are in the process of learning and adopting. The purpose of this presentation is to provide real world examples and lessons learned in modeling digital navigation between ASoT systems. The digital engineering architecture presented will provide examples of: ASoT systems, middleware Commercial of the Shelf (COTS) tool suite, and logical and physical modeling of navigable relationships between ASoTs. The goal is to improve the understanding of digital infrastructure modeling and highlight challenges in modeling ASoT data connections between diverse COTS tools. |
Dennis D. Beeson DEE Technical Integration Lead Northrop Grumman |
| Are You Tired Of Being A Powerpoint Engineer | How much time do you spend collecting, merging, and editing Powerpoint files for design reviews? How much time do you spend collecting comments, merging them, adjudicating them, and then sending them back out? Digital design reviews in Cameo Collaborator eliminate the painful administrative work. This leaves everyone more time to do engineering work, reduces last minute updates that need to be incorporated, reduces miscommunication as comments can be made directly on the pertinent element, and comments can be adjudicated more real-time rather than having to wait until comments are collated. Once completed, comments can be automatically exported into a report if needed. | Priscilla Carreon Systems Engineer Northrop Grumman Maria D’Agostino Northrop Grumman |
| Model Based Systems Engineering is an aspirational activity with substantial promise with several practical implementation issues. The issues are theoretical and practical. We explore these through a framework of three questions: 1) What is this MBSE, anyway?, 2) Why is “MBSE” (so) difficult?!, 3) What is the future of MBSE? First, the context of MBSE, with an orientation towards defense, is addressed. System and architecture Complexity, technological dynamics, and near-peer capabilities are key factors. Next the realities of MBSE are addressed with Semiotics, Discrete Math (Directed Labeled Graphs), and Design Theory perspectives; these are key factors in the rate of development of MBSE processes, methods, and tools. The third topic addresses the future of MBSE through the lens of increasing Threat and Product Complexity, and the necessity for managing Complexity. Concluding, I suggest some possible changes to (MB) Systems Engineering processes and tools. | Peter Hodges Sr Staff Engineer Systems Northrop Grumman |
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| Long-Term Archiving and Retrieval – The Right Approach | The existence of countless proprietary file formats and the exchange of 3D CADx data has created a significant problem since the beginning of CAD modeling. CADx applications and digital data methods constantly change, predicting the industry’s need to share, validate, and accurately translate. Companies adopting MBE processes & tools within their organizations use ISO 10303 Application Protocols AP242 and AP239 to exchange and maintain data for archival and retrieval. Long-Term Data Archival and Retrieval (LOTAR) http://www.lotar-international.org is a multi-party international consortium to standardize the LOTAR of digital products. To ensure the preservation of design intent, validation properties which include geometric shape representation, assembly features, saved views, user-defined attributes, color, visibility, and Product & Manufacturing Information (PMI), need to be verified and validated for compliance. Along with the standards community, the consortium adds new requirements to ensure that specific product domain information is captured to meet product life cycle maturation. Government regulators (FAA) enforce the need to retain digital documents indefinitely for legal and historical purposes with the advent of MBD. OEMs and suppliers have been grappling with the notion of how to preserve electronic records and information for 70+ years. |
Michael Jahadi Chairman, President PDES Inc. David Selliman Membership Director PDES Inc. |
| Digital Engineering: Systems Model Exchange Framework | This track will focus on providing technical insights on how organizations can bring diverse MBE system design tools and vendors together to achieve true industry Digital Engineering workflows for delivering mission and safety critical systems and products to market faster. | Jeff PILATO Chief Strategy Officer Sodius Corp |
| Enhanced MBSE of Products with Assemblies in Motion Using Multi-Physics Simulation Models | In MBSE, the system model includes sub-models for functional / behavioral modeling, performance modeling, structural / components modeling, and other engineering analysis models. The overall system model describes the basic behavior of the system. With complex mechanical products that include moving assemblies, assumptions are often made to simplify the system and keep it reasonably responsive. High-fidelity engineering analysis models are evaluated separately and it is easy to lose the relationships between the various types of physics that are being evaluated. This presentation provides multiple examples of practical and meaningful multi-physics simulations and describes the benefits of these simulations on understanding the changes in system performance due to design changes. The automotive example is the clutch assembly of a manual transmission, including the diaphragm spring. The aerospace example is a deployable space structure, specifically a roll-up solar array. The manufacturing example is a bottle in a transport system. The multi-physics approach considers up to four different types of physics: multibody dynamics, nonlinear finite element analysis, control system modeling, and particle-based CFD. Note that the multi-physics models could also be applied to digital twin applications. | Brant A. Ross Assistant Professor Utah Tech University |
MBE Abstracts
| Presentation Title | Presentation Abstract | Presenter(s) |
|---|---|---|
| Maximizing Production by Operationalizing Manufacturing Simulation Models | The Aerospace and Defense industry is facing pressure to increase production of various products in high demand in the current war in Ukraine. Discrete event simulation models have been used extensively as a tool to engineer new production lines and optimize existing manufacturing lines. These simulation models have the ability to predict long term and short term production performance. However, these models have rarely been operationalized to assist shop floor production managers with their daily, weekly and monthly decision making. We will present how we operationalized an aerospace MRO simulation model and made it available to shop floor managers to help them optimize their production processes on a weekly basis by providing predictions of future system performance. Shop floor managers were able to independently run simulation scenarios to determine the optimal deployment of human resources across their workstations with the goal of maximizing weekly throughput. | James W. Hill CEO Aging Aircraft Solutions |
| Digital Transition to 3Dimensions | Since drafting on mylar, engineering has been on a transition from 2D to 3D. This 3D modeling journey will follow ISO/IEC/IEEE15288 “Systems and Software Engineering – System Life Cycle Processes” with examples from the development, production, test and operational systems perspective to develop a virtual twin. Visualize an orchestration of new and 3DExperience based concepts for: environmental & design requirements, manufacturing specifications, diagrams, schematics, conceptual layouts, space reservation systems, and provisioning modules for customer configurable systems. Integration and interfaces will be shown for project management, physical design structure, manufacturing structure, and simulation for validation and verification. The 3D system can lay out conceptual designs of complex system-of-systems that need to be concurrently designed and integrated. It enables a visually traceable digital thread connection from authoritative sources of truth to aid optimization cycles and identify incremental change impacts. Integration with the option structure, behavior modeling, simulation and analysis for validation, verification and certification will be shown. This will be tied to the successful development of model-based work instructions for VR and AR based training, simulators and work aids and integrated simulations for certification with configured traceability to the digital twins. | Jayson Latowski Digital Innovation and Transformation Process Engineer The Boeing Company |
| MBD Data Interoperability Through Data Standards: A Case Study | One of the foundations of model-based definition data interoperability are open standards such as STEP AP 242 defined by ISO 10303-242. Having MBD data interoperability is essential to Digital Transformation and Digital Threads. Many existing digital threads contain internally developed capabilities which typically do not utilize data standards but instead rely on custom integrations. These internally developed capabilities tend to be high value and essential for the business and need to be incorporated into future digital transformation and digital thread activities. However, the custom integrations severely limit the overall value of such capabilities as their usage is limited to only certain areas of the enterprise. In this presentation I will provide a case study of taking one such internal capability and incorporating data standards to facilitate integration into Boeing’s digital transformation efforts and enabling enterprise wide adoption of this capability. I will discuss our philosophy and approach, the impact to the business, and the value this change has brought. This small case study provides an example of how MBD data standards can enable the digital threads of the future. | Rohan Rana Process Engineer The Boeing Company |
| Exploiting Digital Data & Standards in a Flexible Environment | With the race to digital transformation at-hand, organizations are collaborating using standard CAD formats for sharing model-based data, whether it is with suppliers, manufacturing, customers, or for long-term archival. Because of the measured pace of standards development, it is often necessary to augment standards to meet company requirements today. Waiting until solutions are perfect is unrealistic. This means it is also critical to allow room for flexibility to adapt as capabilities advance. Finding the right line between out-of-the-box with standards and tailored for optimization can be difficult, but knowing your data and consumers of it can help you to exploit your digital data and make productive use of standards. Join us as we discuss successful standard deployment activities and workflows, and showcase a few case studies where stretching beyond the standard has accelerated the adoption. This presentation will reference a variety of examples including standard formats such as JT, STEP, QIF, 3D PDF, and others. |
Annalise Suzuki<>Elysium Inc. Phil Spreier Elysium Inc. |
| Validating 3D Content in the Digital Thread | As companies build out their Model Based Enterprise, 3D model geometry and PMI from the CAD design form critical input to new digital systems. From direct use of the native CAD data, to publishing and leveraging standards such as JT, PDF, QIF and more, companies are investing heavily in tools and business processes to support their digital backbone. However, these systems are often built on the assumption of data quality, at a time where data complexity is continuously expanding. This presentation will highlight common challenges and discuss automated validation strategies that can be deployed within PLM environments to ensure 3D geometry and PMI consistency and accuracy across the digital thread. | Tony Provencal ITI |
| Utilizing PLM and ISO 10303 (STEP) Utilizing PLM & STEP for managing advanced manufacturing processes of critical space components | Developing spacecraft such as satellites is a time-consuming and costly process of several stages. All the parts of the spacecraft must first be manufactured, then assembled, before they are integrated into a spacecraft, which is then put through several different tests before it is launched. The thorough testing ensures that the spacecraft will function for a long time in orbit, is able to withstand the intense vibrations at launch, and the extreme temperature differences, vacuum, and radiation of space. This presentation will highlight the design and manufacturing processes for the NORM: Norwegian Radiation Monitor which is used to measuring kinetic energy for energetic charged particle radiation in space and is onboard Norwegian communication satellite, part of the Arctic Satellite Broadband Mission (ASBM), a project awarded Northrop Grumman Corporation. The activity includes standard based applications for interoperability within processes related to design, simulations, manufacturing (Machining and 3D print), testing (CMM and CT-Scan) and sensor integrations in all aspects. In all use cases ISO 10303 is applied and among others its reported cost savings in the order of 60% for the machining time, due to smart correlations between the milling parameters and sensors values. |
Kjell Bengtsson Jotne |
| Data Exchange Best Practices | As Model Based Engineering gains traction, it is critical that engineering data flows seamlessly across design/manufacturing/analysis/quality applications. Each of these domains serves a specific purpose and the push to digitization requires that the information that these domains produce is easily accessible to all domains. The myriad of native/neutral/kernel file formats offers a plethora of options to read and write diverse types of information. How do you choose the best format for data transmission and retention? How does one validate that the target system has consumed the required information? How do you ensure engineering changes are clearly communicated to all stakeholders? The answers to these questions require a clear understanding of what the intended goal of the data transmission is. Despite continuing problems with the quality of the exchange, most systems today support 3D part definitions. However, when it comes to exchanging other types of information (Product Structure, Visualization Data, PMI, Properties, Metadata, etc.) there is less of a push from suppliers to do so and capabilities to exchange this information are still evolving. Kubotek’s involvement with suppliers, OEMs, and standards organizations plays a key role in the evolution of its technology to support high fidelity consumption, interpretation, and transmission of data. | Ram Eswaran Chief Technology Officer Kubotek Kosmos |
| STEP by Step to MBE | ISO 10303, the STandard for the Exchange of Product data (STEP), is the cornerstone for building a Model-Based Enterprise (MBE). The communities supporting this standard’s continued expansion and stability are vital for its success. The MBx-IF (Model Based ‘x’ Interoperability Forum) is a joint testing effort between AFNeT, PDES, Inc., and prostep ivip with members of the forum comprised of software developers and users of CAD, PDM, and Electrical Wiring Harnesses. The members collaborate to refine and implement MBE functionality, take advantage of today’s capabilities, and identify future needs. This helps increase user confidence through system and Application Protocol (AP) interoperability testing, improving STEP translator quality and decreasing translator time-to-market. Recommended practices provided by the MBx-IF help avoid roadblocks by establishing agreed-upon implementation approaches. The National Institute of Standards and Technology (NIST) supports ISO 10303 and the MBx-IF through the development of CAD models and tools that test data exchange of Product Manufacturing Information (PMI), including Geometric Dimensioning & Tolerancing (GD&T), both graphically and semantically. This enables seamless data reuse throughout the product lifecycle. |
Rosemary Astheimer Mechanical Engineer NIST |
| Product Line Engineering Digital Thread: Now and the Future | When it comes to balancing cost and schedule with developing innovative and highly capable systems, product lines can be a decisive advantage. At Northrop Grumman, digital transformation is allowing a product line approach to be seamlessly applied across proposals, development, production, and sustainment. This is already resulting in faster times to market and reduced costs, but there is even greater potential still to unlock. This presentation focuses on pulling the digital thread further and explores the need to tie business, engineering, and manufacturing tools closer into our product line tool environment. The three areas discussed are first, that we need our business capture, investment, funding, ordering, and production tools to be configured for use by product lines. Second, engineering needs to leverage product line repositories and account for the benefits of reuse when assessing optimal solutions. Third, our product lifecycle management tools must align with variation management strategies. The significance is that the digital thread has a lot of untapped benefits that we can elevate from single products to product lines. Implementing these approaches would be a monumental task for a single company, therefore a concerted effort across the industry, tool vendors, and the customer base must be pursued. |
Matthew Reilly Sr. Principal Systems Engineer Northrop Grumman June Kobayashi Sr. Staff Engineer RF Microwave Design Northrop Grumman |
| Panel Discussion – Model Based Engineering vs. Model Based Enterprise | There is some ambiguity in the terms “Model Based Engineering” and “Model Based Enterprise”. This panel will bring together experienced professionals from Boeing, Parker Hannifin, other manufacturers and solution providers to discuss the differences and how the concepts are employed in industry. Panel to be moderated by MBE track leaders |
Bob Deragisch Enterprise Digital & IT Senior Functional Advisor Parker Hannifin |
| Collaborative Digital Thread – Discussion Session | this session will bring OEM, Users, solution providers to have a discussion on how the companies are working to enable the collaborative digital thread. this will be a small panel discussion on the topic with open participation from the attendees to understand the challenges in systems, solutions, and culture that is inhibiting or enabling collaborative digital thread through the supply chain. the Intent of the session is to gather information to inform future projects and investments in this space | Alain Pfouga ProStep Brian Chiesi PDES, INC. |
| Connecting The Digital Workflow With Good Data | The ability to translate data from one format to another, one system to another, starts with one core component: good data. Geometric Dimensioning and Tolerancing (GD&T) is important to define your model completely and make sure that no details get lost downstream. Good data relies on GD&T being applied properly, which can work in tandem with Model Based Definition (MBD) practices to define multiple views and representations of GD&T on the model. These applications are used to analyze the model before it ever hits production, saving time and money on revisions and prototypes. This presentation will discuss the importance of GD&T as it relates to the model and show how good data can be used to analyze the model in both 1D and 3D systems. Translation of analyses from 1D to 3D systems will be shown, and the importance of understanding your model as it relates to mechanical variation management will be discussed. |
Ross Snyder Sigmetrix |
ET/IT Abstracts
| Presentation Title | Presentation Abstract | Presenter(s) |
|---|---|---|
| Transforming Standards Creation And Use With AI | Transforming Standards Creation and Use with AI: A New Paradigm in Requirements Management Developing engineering documentation in PDF or Word format is a common practice in the engineering community. However, the subsequent lifecycle and utilization of these documents requires significant effort from engineers. These processes, hindered by related challenges such as human error, terminological ambiguity, and incomplete descriptions, are intensified by a loss of tribal knowledge, resulting in undesirable duplication, omissions, inconsistencies, or contradictions in requirements. As digitization of document flows gains popularity, it requires the transformation of engineering documentation into a database of manageable requirements and engineering tasks that still present limitations. In this presentation, Accuris will outline a strategy for implementing a new engineering content management ecosystem, using a “digitalization layer” over existing engineering content. This approach contributes to the efficiency of the lifecycle of engineering documentation within engineering processes and workflows, including requirements authoring, change tracking, data interchange with existing engineering applications, compliance, and quality control. Topics will include leveraging modern AI methodologies for Natural Language Processing, Document Understanding and Information Retrieval, the transformation of PDF documents to structured data, automated requirement extraction and enrichment, assisted requirement authoring and similarity analysis, and requirements traceability. |
Michael Arnold Executive Director, Digital Innovation Accuris Marina Chernyshevich PhD, Director – AI and Data Science Accuris |
| From File-based Technical Data Distribution to Collaborative Technical Data Portals | The need for effective technical data distribution and collaboration continues to be a priority for manufacturers. Organizations often struggle to strike the proper balance between process automation, security, deployment architecture, and end user experience. PLM vendors often claim to have complete solutions, but rarely do. In this session we will identify the primary challenges organization face to improve their technical data distribution and collaboration processes along with paths to improvement. Recent initiatives from US Defense agencies have defined requirements for cloud hosted approaches to packaging, storing, disseminating, collaborating with, and archiving technical data packages. These systems must include data rights management. IP protection and processes must allow for any sized manufacturers to be engaged with minimal IT costs and on-boarding time. Whether you are fully file-based established on STEP, 3D PDF creating MIL-STD-31000B for technical data packages, on a cloud-based collaboration platform, or trying to understand how to balance both, join this session to learn how select GPDIS sponsor companies and other A&D organizations are extending their investment in existing systems to optimize technical data collaboration internally, and with their extended supply chain. |
Patrick Dunfey VP of Marketing Anark Corporation Jim Martin Director of Customer Engagement Anark Corporation |
| Information Kitting and Digital Transformation | In alignment with the enterprise DTx program, this presentation serves to introduce the core concept of Information Kitting, what it is, what it does, and how it works. Examples of successful information kits created within Boeing will be shared using a Situation, Target, Action, Result format, with a bottom line stating the main value of each. Charts describing computing evolution of how we arrived here and were we are as well as a roadmap and plan for how we will implement this important approach across Boeing in support of Digital Transformation. Finally we’ll discuss the evolution of this concept into Smart Information Kits (includes use of IoT, Big Data, and AI) in a future roadmap and capabilities, and how this will provide a strong competitive advantage to Boeing, our suppliers and customers. |
Brian Laughlin Technical Fellow Systems Engineer The Boeing Company |
| Digital Thread for Risk Management – Supply Chain | A risk-resilient and stable supply chain is key to maintaining factory production rates and managing customer expectations. SCRIN (Supply Chain Risk Intelligence Network) is an analytics product that digitizes risk identification in Boeing’s supply chain tiers (Tier 1 and subtier suppliers). SCRIN maps out the supplier network tiers, identifies risks that suppliers are exposed to (financial, performance, geopolitical, natural hazard risks), maps supplier parts to programs and offers engaging visualization to maximize data potential. Interoperability to enable analytics is the key in SCRIN’s data strategy. Suppliers, Parts, Programs and Risks are 4 major categories of SCRIN data. They lie scattered in the real world, within Boeing’s internal data warehouses and with external risk analysts respectively. SCRIN brings together these disparate, multi-stakeholder bodies of data to produce a single, focused view of supplier risks. Analytics capabilities such as What-If Risk Simulations and Alternate Supplier Recommendations produce a holistic approach that promote supply chain groups from reactive to proactive mitigation. The SCRIN team is engaged in University collaborations to research the use of knowledge systems in supply chain data analytics. The product was showcased to Boeing CEO Dave Calhoun in June 2023, and received positive feedback and encouragement. |
Lakshmi Dinesh Product Manager The Boeing Company |
| Where’s the ROI? Developing Realized Value Studies for Digital Transformation & Technology Initiatives | 97% of manufacturers have plans to incorporate Smart Manufacturing technologies into their process (Rockwell Automation, 2023). However, visionaries and executive teams face challenges in justifying expansions of pilots into full digital transformations for their organizations. This has slowed technology adoption in the commercial electronics manufacturing space for years. Aerospace and defense manufacturers have a unique advantage in developing realized value studies from technology investments, and in this session, Anna-Katrina Shedletsky, founder and CEO of Instrumental, Inc., will:
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Anna-Katrina Shedletsky Instrumental, Inc |
| Beyond Boundaries Transforming Interoperability for the Next Generation of Factories | In the era of digital transformation, overcoming interoperability challenges is no longer a luxury but a necessity. This presentation delves into the real-world deployment of IIoT Architecture at NGC Factories, spotlighting the unique manufacturing challenges they faced and their innovative solutions leveraging industry 4.0 principles. We will explore the role of HighByte Intelligence Hub in enabling flexible integration across a diverse landscape of data producers/consumers and its impact on enabling non-invasive data governance. By providing a case study at NGC, we will illustrate how the Intelligence Hub acted as a bridge, seamlessly connecting modern and legacy devices, in-house and off-the-shelf applications, as well as OT and IT systems. This presentation will also briefly touch upon the resonance of these challenges and solutions in the Supply Chain realm, further emphasizing the importance of overcoming interoperability and contextualization hurdles across different functional boundaries. | Zach Etier Sr. Principal Architect Northrop Grumman |
| DevOps in action | Enabling and bolstering automation is a critical component for climbing the rungs of DevOps. With DevOps moving at the speed of relevance becomes a reality. Embarking on a DevOps journey is long and perilous, and most will fail if not guided and appropriately resourced. There is no need to reinvent the wheel, many have taken this journey and there is much to learn from the failed and successful attempts. Even with guidance, many will fail, but remember there is much to learn from failure, and it will serve you well to fail early and often. This mindset and type of culture will be necessary for the evolution of an agile team to begin leveraging DevOps. Taking the best practices and industry standards, DevOps can also be fully represented in Product Lifecycle Management (PLM). See DevOps in action using Azure DevOps formerly known as Team Foundation Server (TFS). | David Votaw Automation Wizard Northrop Grumman |
| Exploring the Interoperability of Human Factors and the Business for a Successful Adoption of Digital Solutions: How an Innovative Mindset Positively Affects Scaling and Adoption Outcomes | The Digital Transformation (DT) road to success is complicated for any program or project. A DT leader and Technical Fellow, Stephanie Dinkins, and UX Researcher and Psychology Ph.D., Joan Dodson, have partnered in research to understand what makes scaled adoption in a digital transformation successful. Through astute observation and practical application, we have identified a set of innovative mindset beliefs and practices to help avoid pitfalls and ensure adoptive success. We explore how to address this common problem through the interoperability of human factors and the business to work together for a successful adoption of digital solutions. Our methodology incorporates Change Management Theory and application, the psychology of change, and Agile based engineering solutions to create and foster easier and faster adoption of DT for organizations still operating under traditional silo and model-based strategies. Our presentation includes ‘real life’ examples of actionable insights and team successes of DT incorporation of several programs of solution adaption across relevant stakeholders. This presentation will explore the methodology of how these accomplishments were achieved, the metrics of measurement, and our continuing path forward with teams and subcontractors for program success. |
Stephanie Dinkins Sr. Manager Systems Engineering Northrop Grumman Joan Dodson, Ph.D. Staff Engineer Human Factors Northrop Grumman |
| The Golden Screw Problem – How to Achieve Design for Resilience | Traditionally, manufacturers could focus on just 20% of their key suppliers and key costs. But now – because of the golden screw problem – you have to focus on 100% of those factors. Because it only takes one missing piece to slow down, or entirely halt, your production. In the rapidly evolving landscape of supply chain management for electronics, it has become crucial to implement strategies that improve material availability, optimize efficiency, mitigate risks, and reduce time-to-market. One such strategy gaining momentum is the concept of “Design for Resilience.” This approach emphasizes early integration and collaboration among stakeholders, enabling the identification and resolution of potential issues at the earliest stages of the product development lifecycle to help prevent the golden screw problem. |
Richard Barnett Chief Marketing Officer Siemens |
| Understand & Deploy a Supply Chain Digital Thread | It is critical for manufacturers to digitize and connect their supply chain ecosystem – from their suppliers and OEMs; between their OT and IT domains; and all the way through final product delivery. Join Software AG Government Solutions and MxD to learn about how we are helping manufacturers use data integration to lower risk, create new insights into the operational environment, and discover and reduce hidden costs in the sustainment tail. | Sean Riley Vice President Global Industry Solutions Software AG Joe Nichols Technical Project Engineer MxD |
DT/DT Abstracts
| Presentation Title | Presentation Abstract | Presenter(s) |
|---|---|---|
| Open, Flexible, and Purpose-driven Digital Engineering | This presentation will discuss how Digital Engineering is driving the automation of product and business decisions from planning, design, and manufacturing to operation and maintenance across industries. Digital twin enables a personalized, dynamically evolving model of a system, based in physics assimilating data coming from multiple data streams (digital “threads” including inspection and sensors). These data streams are used to create a digital representation of the elements and dynamics of assets to improve collaboration, information access, and decision-making. The presentation will focus on the importance of having an open-architecture based Digital Engineering practice with emphasis on vendor agnostic integration of models and enterprise data. | Keshav Sundaresh Global Director of Product Management – Digital Twin & Thread Altair |
| Aerospace and Defense Digital Thread workshop. | Aerospace and Defense Digital Thread workshop. We will utilize ninety minutes to identify and discuss the A&D industry digital thread looking to define an industry use case learning perspective. This DT3 in-track workshop is scheduled for Tuesday afternoon from 3:30 to 5:00P. Interactive group discussions will be facilitated by industry experts. Topics include:
|
Robert Rencher The Boeing Company Cory Kinsell Northrop Grumman |
| Digital Thread Potential of a Note | Creation of digital thread / digital twin for the data underlying standards will improve production rates, production costs, product quality, and enable benefits of analytics & simulation. In order to support industry trends for model based engineering, standards development and consumption must transform from traditional configuration management methodologies to model-based approaches in order to provide consumers the information they need, when and where they need it. This presentation will explore the use case and scenarios for an engineering note conveying Product and Manufacturing Information which connects design, manufacturing, and product support. This presentation will also provide a high-level overview and update of what has been done at Boeing to move from paper-based standards and specifications to model-based standards. |
Kelli Howe IT Engineer The Boeing Company Alex Grey Structural Design Engineer The Boeing Company |
| Digital Engineering – Definition Discussion | Digital Engineering – A facilitated discussion with the goal of improving understanding and purpose of digital engineering. Is digital engineering something new or a realignment of existing capabilities and What is facilitating digital engineering and will this be a new strategic direction for the aerospace and defense industry | Robert Rencher The Boeing Company Cory Kinsell Northrop Grumman |
| DT3 Track Summary and discussion for 2024 | Review and discussion the GPDIS DT3 2023 Track – Success / Failures. Recommendations for 2024 | Robert Rencher<>The Boeing Company Cory Kinsel Northrop Grumman |
| Technical Debt & The Digital Thread on the AH64 Apache Helicopter | The challenges of technical debt on mature programs while trying to keep up with industry best practices of implementing the digital thread. | Rick Amann ATF Product Systems The Boeing Company John Daniel SME Digital Processes & Tools The Boeing Company |
| ‘Car Wash For Data’: Best Practice for Information & Configuration Management of an industrial Facility. | Especially for a nuclear facility, Information Management (IM) and Configuration Management (CM) is important throughout its life cycle. However many organizations struggle with implementing a sound and integral IM and CM process. The design in general is fragmented and created using tools from different vendors, even by discipline, and the combination of lack of interoperability and lack of adequate tooling, wastes money, hindered reuse of design knowledge and potentially even cause safety issues. This presentation presents a pragmatic and proven implementation of IM and CM in the Pallas nuclear facility in the Netherlands that elegantly meets the needs of IM and CM. Based on ISO 15926 an Integrated Information Model (IIM) and RDL were developed and leveraged as a modern and efficient approach to better support, manage and enable seamless sharing, transfer and use of sustainable design knowledge and information within and across all facility life cycle phases. For this Pallas realized a data driven Common Data Environment (CDE) based on ISO 19650 using semantic modelling technology. In this CDE all data obtained from the fragmented software tool set used over the life cycle of the facility is cleaned classified, semantically harmonized and integrated via a “Carwash for data”. |
Leo van Ruijven Principal Systems Engineer Croonwolterendros |
| Delivering Digital Thread leveraging API Factory and Common Data Model (CDM) | eQube®-DaaS, the Low/No-code integration and analytics platform, delivers many critical solutions for accelerating Digital Transformation. One such critical solution rapidly delivers Digital Thread capability. With eQube®-DaaS, customers are able to rapidly develop a CDM for their business and leverage it to realize API Factory. This presentation will discuss a Digital Thread solution that captures the thread covering systems, such as ALM (requirements and systems design), planning, software development, simulation, and PLM. It will highlight the journey from CDM to API Factory to this Digital Thread solution. Providing an automated digital fabric with visualization, navigation and impact assessment. | Nathan Nalven VP Customer Engagements eQ Technologic Inc |
| Breaking the Silos and Connecting the Dots: Implementing a Digital Thread with an Operational Data Hub | Realizing the full potential of a Digital Thread in manufacturing depends on a continuous data flow between all elements and components of the product life cycle process. But in reality, most manufacturers’ data is locked down in siloed systems, owned and managed by different teams or business units throughout the organization. In this session we will introduce a modern approach for liberating data from silos and making it accessible to front-end applications and PLM processes, using an Operational Data Hub Architecture. Join us to learn how Smart DIH can turn a digital thread from vision into digital reality by consolidating and orchestrating data across the product lifecycle. Smart DIH is an Operational Data Hub that resides at the intersection of data consumption and data delivery: It ingests data from diverse PLM systems – be they design, engineering, manufacturing, IoT, operations, or maintenance systems – into a unified data model and delivers it in real-time to data consumers and digital services. |
Tal Doron AVP Solution Architects GigaSpaces |
| Curating Digital Threads for Effective Model Lifecycle Management | Knowledge enables us to make better decisions, we model in order to know more sooner – but modeling yields too much: we need curation to make apparent what is relevant. Curators are an overlooked role in digital engineering. Curators communicate knowledge from clutter. Curators are vital in model lifecycle management – the management for the business of digital engineering models over the lifecycle of those models and of the enterprises they represent. There is a surfeit (surplus) of data (disorganized facts and assertions) in most modeling tools while there is scarcity of knowledge within that data. Only once digital data has been curated into a digital thread for a particular audience can an organization use their digital engineering data, as knowledge, to make better business decisions. For the foreseeable future, organizations will rely on a federation of IT systems to create, store, share, and benefit from their engineering data. No single vendor is going to offer a single repository which holds all the disorganized data and curated information that an organization needs to accomplish its missions. To provide their value – in our mission-critical engineering disciplines – curators need a real digital thread platform which spans the federation. |
Lonnie VanZandt Principal Solutions Architect Intercax |
| Beyond Static Models: Verification-Based Digital Engineering | The entire Aerospace industry is undergoing a shift toward Digital Engineering. But what exactly does that mean, and how does it affect the day-to-day tasks of the individual contributor? This talk aims to look at a piece of Digital Engineering and explain how combined executable architecture and design models with connectivity to other digital artifacts enables multiple teams of engineers to collaborate in a Digital Engineering workflow. Key Messages Digital Engineering requires:
Agenda
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Mike Anthony Principal Application Engineer MathWorks |
| Leveraging the Digital Thread in Manufacturing and the Continued Benefits through the Product Lifecycle | This presentation will cover the journey of digital thread for defects and discrepancies beginning in the manufacturing in the manufacturing phase. The path will start with exploring the initial collaborative study conducted by the USAF, Northrop Grumman, and NLign Analytics, which assessed the benefits of incorporating a digital thread into the MRB ( Material Review Board) process. We will then move forward with the advancements and implementations beyond the original study to the vision for how this digital thread data will be used to optimize the beyond manufacturing into sustainment, re-design, and other additional advantages that extend from manufacturers to suppliers and ultimately benefit end users. While digital thread implementation typically aims to address immediate challenges, we will discuss how it generates near-term efficiencies and delivers broader value to current and future programs, thus enhancing the design, manufacturing, and sustainment of future defense vehicles for the Department of Defense (DoD). | Seth Dippold Senior Software Engineer NLign Analytics DARYL KWAKYE-ACKAH Sr Principal Manufacturing Systems Engineer Northrop Grumman |
| Engineering the Digital Ecosystem | Data. Tools. Integrations. Digital Threads. A lot of today’s engineering conversations revolve around these topics, yet these topics and terms are used to mean many things interchangeably leading to more questions and confusion. How do we go about integrating tools? Where do we need the data and how do we know it is authoritative? When should we upgrade and change versions? Modeling the digital ecosystem sheds light on possible answers to these questions, but what considerations need to be in play to have a useful model? In this presentation, I will discuss the process and considerations I use when modeling digital threads and ecosystems. These concepts will give a foundation to start having conversations around your own digital ecosystems. | Cory Kinsel Principal Engineer Systems Architect Northrop Grumman |
| Advancing the Digital Thread Throughout the Lifecycle | With the Digital Transformation evolving with advanced modeling and simulation capabilities, there is a paradigm shift from isolated systems and tools to a digital ecosystem with stronger interoperability between systems and workflows. As dependencies of external stakeholders and data become tightly coupled, there is increased complexity of maintaining data integrity with various inputs, frequencies, and data types. This posed a great opportunity for the Northrop Grumman’s Model Based Sustainment (MBS) team to establish connectivity and data dependencies throughout the entire life cycle for our systems from design to operations and maintenance that is sustainable to support program requirements and operational readiness. The MBS infrastructure and data management needs significantly benefited from federated data sources to build a common data model to inform service and support with accurate response and reduce manual effort through the utilization of Data as a Service (DaaS) technologies like eQ Technologic and NG’s developed Service Bus. These capabilities have enabled to achieve higher efficiencies and access to actionable information to support our customer internally and externally. This Digital Thread focus has been key to the transition from the traditional physical and manual concepts to dynamic virtual environments to influence the outcome of design decisions. | Kenney Crooks NG Fellow Northrop Grumman |
| Addressing The Need of Managing Intellectual Properties (IP) in Model-Based Collaboration within the Supply Chain | One of the promises of Digital Engineering is to significantly increase the speed of collaboration by using and exchanging models, instead of documents, with partners, customers and suppliers. The models represent the product at the different stages of the lifecycle, and they are used to directly achieve consistency across the supply chain. While this approach is appealing, it poses the challenge of robustly managing what information is embedded in the models, what can be shared and must be maintained, especially when the product is complex, and parts are shared with multiple external entities. We expect the overall solution to rely on legal agreements as well as technical approaches; in RTX we have focused on developing techniques to keep internal models as the authoritative source of truth while exchanging only the necessary model elements. To accomplish this, we utilize model labeling and automatic defeaturing techniques as well as best practices in model structure. For systems engineering, we have demonstrated this concept on Dassault Systèmes’ Cameo product utilizing SysML variation points as well as the Cameo Data Markings and Classification Plugin. For mechanical engineering, a similar approach has been demonstrated on mCAD and PLM platforms utilizing the Elysium suite of tools. |
Kevin Bonanne RTX Jason Wilson Dassault Systèmes |
| A digital thread connecting engineering and manufacturing at the feature level to improve lead time and part quality. | The design and manufacture of aerospace parts, such as jet engine components, with more complex geometry, advanced materials, and tighter tolerance requirements is becoming increasingly challenging. The ability to connect models and data across engineering and manufacturing greatly reduces lead time and improves part manufacturability and quality by providing critical information sooner with machine readable formats. Connecting to a deeper granularity than the part level to evaluate manufacturing capabilities and correlations is significantly beneficial when it comes to improving design for manufacturing and inspection, manufacturing process improvement and optimization, and the inspection and validation processes. We introduce the concept of the Feature Level Digital Thread that creates a relationship for a part feature across a part family so that data for manufacturing and inspection can be evaluated against a larger data set. This enables to identify and evaluate correlations in manufacturing data at the part feature level and then optimize the design and manufacturing processes faster and with more accuracy. This presentation will outline the industry needs, challenges, and will discuss our current status of the Feature Level Digital Thread capability. | Daniel Hayek Senior Manager RTX Samuel Yang Sr. Principle Engineer RTX |