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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Vydáno v:International journal of production research Ročník 44; číslo 20; s. 4401 - 4416
Hlavní autoři: Piedras, Hugo, Yacout, Soumaya, Savard, Gilles
Médium: Journal Article
Jazyk:angličtina
Vydáno: London Taylor & Francis Group 15.10.2006
Washington, DC Taylor & Francis
Taylor & Francis LLC
Témata:
Applied sciences
Concurrent engineering
Exact sciences and technology
Mathematical programming
Mechanical engineering. Machine design
Multi-objective nonlinear programming
Operational research and scientific management
Operational research. Management science
Optimization
Product development
Production methods
QFD
Studies
New product
Multi-objective nonlinear programming
Process planning
Clientele
Multiobjective programming
Satisfaction
Non linear programming
Optimization
QFD
Engineering design
Concurrency
Integrated design
Quality function deployment
Product development
Concurrent engineering
Computer aided design
Mathematical programming
ISSN:0020-7543, 1366-588X
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Shrnutí: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