Gaps Analysis Of Integrating Product Design, Manufacturing, And Quality Data In The Supply Chain Using Model-Based Definition

Published: June 28, 2016


Asa Trainer, Thomas D. Hedberg, Allison Barnard Feeney, Kevin Fischer, Phil Rosche


Information technology advances such as big data, service-oriented architectures, and networking have triggered a digital revolution that holds promise of reduced costs, improved productivity, and higher quality. To ride this wave of innovation, manufacturing enterprises are changing how product definitions are communicated -- from paper to models. To achieve industry's vision of the Model-Based Enterprise (MBE), the MBE strategy must include model-centric data interoperability for design to manufacturing and quality in the supply chain. The Model-Based Definition (MBD) is created by the original equipment manufacturer (OEM) using Computer-Aided Design (CAD) tools. This information is then shared with the supplier so that they can manufacture and inspect the physical parts. Today, suppliers predominantly use Computer-Aided Manufacturing (CAM) and Coordinate Measuring Machine (CMM) models for these tasks. Traditionally, the OEM has provided design data to the supplier in the form of two-dimensional (2D) drawings, but may also include a three-dimensional (3D)-shape-geometry model, often in a standards-based format such as ISO 10303-203:2011 (STEP AP203). The supplier then creates the respective CAM and CMM models and machine programs to produce and inspect the parts. In the MBE vision for model-centric data exchange, the CAD model must include product and manufacturing information (PMI) in addition to the shape geometry. Today's CAD tools can generate models with embedded PMI. And, with the emergence of STEP AP242, a standards-based model with embedded PMI can now be shared downstream. This on-going research seeks to investigate the following three concepts. First, that the ability to utilize a STEP AP242 model with embedded PMI for CAD-to-CAM and CAD-to-CMM data exchange is possible and valuable to the overall goal of a more efficient MBE process. Second, the research identifies gaps in tools, standards, and processes that inhibit industry's ability...
Proceedings Title: Proceedings of the ASME 2016 Manufacturing Science and Engineering Conference (MSEC2016)
Conference Dates: June 27-July 1, 2016
Conference Location: Blacksburg, VA
Conference Title: The ASME 2016 Manufacturing Science and Engineering Conference (MSEC2016)
Pub Type: Conferences


Model-based definition, product lifecycle management, digital manufacturing, product data Verification and validation
Created June 28, 2016, Updated February 19, 2017