A multibelief analytic hierarchy process and nonlinear programming approach for diversifying product designs: Smart backpack design as an example

Yu Cheng Lin, Tin-Chih Chen*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

7 Scopus citations

Abstract

Owing to the cost constraint, it is difficult to incorporate all critical features into a single product design. To deal with this issue, analytic hierarchy process is a well-known method that compares the relative priorities of critical features. This study aims to illustrate that the judgment of a designer can be used to generate multiple diversified product designs. To this end, this study proposed a multibelief analytic hierarchy process and nonlinear programming approach. In the proposed methodology, a decision maker’s judgment matrix is decomposed into several single-belief judgment matrices that are more consistent than the original judgment matrix and represent diversified points of view regarding the relative priorities of factors. To this end, a nonlinear programming model is established and optimized. The proposed methodology was applied to a smart backpack design problem. It was concluded that a designer’s judgment was often inconsistent, which was ignored in the conventional analytic hierarchy process method but could be employed to diversify product designs.

Original languageEnglish
Article number0954405419896117
JournalProceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture
DOIs
StatePublished - 1 Jan 2020

Keywords

  • Analytic hierarchy process
  • computer-aided design
  • consistency
  • judgment matrix

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