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Challenges and Methods in the Quantification of Design Errors and Solution Elements

[+] Author Affiliations
Lawrence P. Chao, Kosuke Ishii

Stanford University

Paper No. IMECE2004-60501, pp. 143-153; 11 pages
doi:10.1115/IMECE2004-60501
From:
  • ASME 2004 International Mechanical Engineering Congress and Exposition
  • Engineering/Technology Management: Safety Engineering and Risk Analysis, Technology and Society, Engineering Business Management
  • Anaheim, California, USA, November 13 – 19, 2004
  • Conference Sponsors: Safety Engineering and Risk Analysis Division, Technology and Society Division, and Management Division
  • ISBN: 0-7918-4720-9 | eISBN: 0-7918-4178-2, 0-7918-4179-0, 0-7918-4180-4
  • Copyright © 2004 by ASME

abstract

To error-proof the design process, tools such as Design Process Failure Modes and Effects Analysis and Project Quality Function Deployment mitigate risk through thorough understanding of the consequences of both the process-level errors that can occur and the solution elements that mitigate them. However, the quantification of design errors and prioritization of other elements are complicated by the temporal and spatial distance of the decisions from the end-result. This paper discusses measures for design elements in the context of process-based analysis, including the design errors, tasks, and project resources. The Risk Priority Number is the standard measure of criticality of failure modes and their effects. However, alternatives to the traditional RPN have emerged in forms such as expected and life-cycle cost as well as QFD-based techniques. The paper explores the benefits and challenges of these traditional and new measures and concludes with a discussion into converting between the measures.

Copyright © 2004 by ASME
Topics: Design , Errors

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