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 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.

[1]  Zhongqin Lin,et al.  Algorithm of integrating QFD and TRIZ for the innovative design process , 2005, Int. J. Comput. Appl. Technol..

[2]  Lai K. Chan,et al.  PRIORITIZING THE TECHNICAL MEASURES IN QUALITY FUNCTION DEPLOYMENT , 1998 .

[3]  Nam P. Suh,et al.  Axiomatic Design Theory for Systems , 1998 .

[4]  E. Ertugrul Karsak,et al.  Fuzzy multiple objective decision making approach to prioritize design requirements in quality function deployment , 2004 .

[5]  Gary S. Wasserman,et al.  ON HOW TO PRIORITIZE DESIGN REQUIREMENTS DURING THE QFD PLANNING PROCESS , 1993 .

[6]  Kwang-Jae Kim.  DETERMINING OPTIMAL DESIGN CHARACTERISTIC LEVELS IN QUALITY FUNCTION DEPLOYMENT , 1997 .

[7]  Russell R. Barton,et al.  The Virtual Integrated Design Method , 2003 .

[8]  Joseph J. Pignatiello,et al.  STRATEGIES FOR ROBUST MULTIRESPONSE QUALITY ENGINEERING , 1993 .

[9]  Byung Rae Cho,et al.  Economic design of the specification region for multiple quality characteristics , 1996 .

[10]  C K Kwong,et al.  Determining the Importance Weights for the Customer Requirements in QFD Using a Fuzzy AHP with an Extent Analysis Approach , 2003 .

[11]  Seyed Hossein Iranmanesh,et al.  Design Parameter Estimation using a Modified QFD Method to Improve Customer Perception , 2005, Concurr. Eng. Res. Appl..

[12]  Kwok-Leung Tsui.  Robust design optimization for multiple characteristic problems , 1999 .

[13]  Richard Y. K. Fung,et al.  Fuzzy regression-based mathematical programming model for quality function deployment , 2004 .

[14]  Chris J. Backhouse,et al.  Understanding concurrent engineering implementation: A case-study approach , 1998 .

[15]  Ching-Torng Lin,et al.  A Fuzzy Logic-Based Approach for Implementing Quality Function Deployment , 2003 .

[16]  Ming Zhou.  Fuzzy logic and optimization models for implementing QFD , 1998 .

[17]  E. Ertugrul Karsak,et al.  Fuzzy multiple objective programming framework to prioritize design requirements in quality function deployment , 2004, Comput. Ind. Eng..

[18]  Eric R. Ziegel,et al.  Engineering Statistics , 2004, Technometrics.

[19]  Sevin Sozer,et al.  Product planning in quality function deployment using a combined analytic network process and goal programming approach , 2003 .

[20]  Noel Artiles-León,et al.  A Pragmatic Approach to Multiple-Response Problems Using Loss Functions , 1996 .

[21]  Carolyn Rodda Lincoln.  The Quality Revolution (Book) , 2003 .

[22]  A. Lamghabbar,et al.  Concurrent optimization of the design and manufacturing stages of product development , 2004 .

[23]  Ronald G. Askin,et al.  Optimal new product design using quality function deployment with empirical value functions , 1999 .

[24]  Jose Luis Duarte Ribeiro,et al.  MINIMIZING MANUFACTURING AND QUALITY COSTS IN MULTIRESPONSE OPTIMIZATION , 2000 .

[25]  Douglas M. Hawkins,et al.  Quality Loss Functions for Optimization across Multiple Response Surfaces , 1997 .