Helping A&D Companies Realize the Promise of Model-Based Engineering (MBE)
Aerospace and Defense organizations are under constant pressure to:
- Accelerate development of the most complex, engineered products in the world
- Reduce defects in design and manufacturing
- Meet constantly-changing regulatory and customer requirements
To respond to these challenges, leading aerospace and defense companies are moving from document-centric engineering processes to model-based engineering processes. XSB’s SWISS platform accelerates and streamlines this move by turning documents into data.
Model Based Definitions have been effective at incorporating Geometric Dimensioning and Tolerancing (GD&T) information but much less effective at incorporating other essential information into the models such as specifications, requirements, standards, manufacturing instructions, technical data packages, and even drawing notes. SWISS uses the latest techniques in AI and semantics to bring these documents into the digital thread and MBE.
SWISS turns static documents into interoperable and intelligent digital models. These digital models are stored in the SWISS Knowledge Graph which is accessible via API by common engineering applications such as:
- Siemens Teamcenter®
- PTC Windchill®
- MS Office
- Elysium DATAPACKAGE™ STUDIO: PDF AND 3-D PDF DRAWINGS,
- and any other application which needs access to authoritative, current and linked documentation.
Aerospace & Defense Use Cases
Leading aerospace and defense companies use SWISS to:
- Automate Requirements Extraction. Automatically identify, extract, and classify requirements buried in static documents, saving engineering time and dramatically reducing errors
- Bring Legacy PLM Documents into the Digital Thread. Analyze document objects in PLM and deliver engineers a Bill of References (BoR) including status, currency, and links to referenced internal and external documents. No more working from outdated requirements, silo-hopping, and manual searching to try to find the right piece of information.
- Create Smart, Connected Work Instructions and Other Derivatives. A&D companies build change-aware work instructions, test plans, quality checklists, and tech data packages (in Word or PowerPoint) with live links to current, authoritative reference content, automated change management and clear impact assessment.
- Convert Legacy Drawing Notes into Actionable Data. A&D companies drowning in legacy drawing notes can digitize this data and incorporate it directly into digital models, filling critical information gaps and saving countless hours of manual effort.
Starting with the Department of Defense, the Aerospace & Defense industry is using SWISS to reduce cycle times, errors and the manual labor necessary to produce products critical for America’s defense.
To put the power of SWISS to work in your product lifecycle contact us.
Improving Aerospace and Defense Parts Selection, Management and Design
Large A&D companies typically have multiple locations and divisions (frequently added through merger or acquisition); each with their own parts management policies and item masters. In addition, to identifying common parts across internal data silos, this information must be harmonized with external supplier and customer data - where the identical item is described in different ways. This disparity in product identifiers and descriptions prevents discovery of existing products that satisfy engineering criteria, finding substitutable items and in the end, leads to parts proliferation, duplication, poor data quality and obsolescence management issues; these are significant and costly problems.
XSB's Pin Point® solution addresses this problem in legacy part data management. Pin Point is a robust and scalable system for standardizing information about products and the companies who manufacture and distribute them. Pin Point aggregates data from multiple sources; these typically include databases and legacy systems internal to the enterprise, as well as external web-based sources such manufacturer and supplier web-sites. Pin Point uses AI and semantics to build a “coherent view®” of each part using data from all these internal and external sources.
Aerospace and Defense industry parts managers use Pin Point to eliminate part duplication, manage obsolescence, reason on part similarity, and detect issues such as REACH and RoHS, counterfeits items and potential supply chain disruptions. Pin Point can be integrated with an OEM's PLM system for optimal results in the new part approval process.
AMIGA is a project undertaken for DLA to assist users in identify Items of Supply that are good candidates for Additive Manufacturing, also known as 3-D printing.
DLA manages over 5 million items of supply for the Department of Defense, very few of which were designed to be manufactured using this alternative production process. To determine which of these parts can be obtained using Additive Manufacturing, DLA must answer two questions: can it be made using Additive Manufacturing? and should it be? Answering these questions requires a product specialist to review technical data about the part and logistics information about where it is used and how it currently is obtained. This process requires significant manual effort and if attempted for all the items DLA manages, would require significant resources.
The concept of AMIGA is to input specific requirements for the physical and logistic properties of a part and rapidly pre-select only parts that meet those criteria, allowing the product specialist to focus on items where there is a high likelihood that Additive Manufacturing is an option.
AMIGA relies on XSB’s “coherent view” to identify parts with the physical and logistic properties to be likely candidates for Additive Manufacturing. This capability holds great promise for the industrial digital enterprise. 3-D printing is a major part of Industry 4.0; fueled by Big data and advanced AI, AMIGA may become an essential component in the industrial digital ecosystem.
Mining Legacy Technical Data
While modern manufacturing increasingly relies on 3D digital models of parts, most of the technical data DoD has about parts for legacy weapon systems is contained in scanned 2D raster drawings and PDF specification documents. These legacy technical data packages have rich information about the materials and processes needed to make these parts. However, obtaining this information requires tedious manual review of multiple documents for each part. XSB has been able to combine powerful open-source Optical Character Recognition software from Google with our proprietary AI extraction technology to automate the review of these documents and to extract rich material and process information for legacy parts.
This innovation holds great potential for managing the DoD supply chain for legacy weapon systems. It can also be of great value to any organization that needs to manage legacy systems with obsolete 2D technical data.