Variation Risk Management Using Modeling and Simulation

Author:

Thornton A. C.1

Affiliation:

1. Mechanical Engineering Department, Massachusetts Institute of Technology, Cambridge, MA 02139

Abstract

Design and manufacturing firms are under significant pressure to simultaneously increase product complexity, reduce design cycles, decrease cost, and improve quality. A key enabler to reduce cost without sacrificing quality is the control of variation during both design and manufacturing. The best time to reduce the impact of variation is in the early stages of design. This paper presents a tool set used to identify, early in the design process, where variation will have significant impact on the final cost and quality of a product. It presents the design team with a graphical view of variation risk, enabling them to quickly identify high-risk areas. The uncertainty about process capability and risk is also quantified and presented to the user.

Publisher

ASME International

Subject

Computer Graphics and Computer-Aided Design,Computer Science Applications,Mechanical Engineering,Mechanics of Materials

Reference26 articles.

1. Ardayfio, M. A., 1998, “Methods for Capturing Design Intent Using Key Characteristics,” MSc, MIT, Cambridge, MA.

2. Arrow, K. J., 1971, Essays in the Theory of Risk-Bearing, Markham Publishing Company, Chicago.

3. Chen, T., and Thornton, A., 1999, “Quantitative Selection of Inspection Plans,” Accepted ASME DEC-DTM conference, Las Vegas, ASME.

4. Clausing, D., 1995, “EQFD and Taguchi, Effective Systems Engineering,” First Pacific Rim Symposium on Quality Development, Sydney.

5. Cunningham, T. W., Mantripragada, R., Lee, D. J., Thornton, A. C., and Whitney, D. E., 1996, “Definition, Analysis and Planning of a Flexible Assembly Process,” Proceedings of the Japan/USA Symposium on Flexible Automation, Boston, MA, ASME.

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