Concurrent optimization of customer requirements and the design of a new product

This paper proposes a mathematical programming technique to optimize the product development process. Using a concurrent engineering approach, the paper presents a formulation that maps the different stages of product development. The decision variables of these stages are then determined simultaneo...

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Bibliographic Details
Published in:International journal of production research Vol. 44; no. 20; pp. 4401 - 4416
Main Authors: Piedras, Hugo, Yacout, Soumaya, Savard, Gilles
Format: Journal Article
Language:English
Published: London Taylor & Francis Group 15.10.2006
Washington, DC Taylor & Francis
Taylor & Francis LLC
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ISSN:0020-7543, 1366-588X
Online Access:Get full text
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Summary:This paper proposes a mathematical programming technique to optimize the product development process. Using a concurrent engineering approach, the paper presents a formulation that maps the different stages of product development. The decision variables of these stages are then determined simultaneously. While the Quality Function Deployment Technique (QFD) is based on a qualitative sequential approach, this paper proposes a holistic quantitative approach to concurrent product-process optimization. The mathematical programming technique is applied to the first two stages of product development: the optimization of customer satisfaction and the product's design.
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ISSN:0020-7543
1366-588X
DOI:10.1080/00207540500435165