The QFD-based decision-making approach for strategic BPR

Author

Zhou, Yonghua ; Chen, Yuliu

Author_Institution

Dept. of Autom., Tsinghua Univ., Beijing, China

Volume

5

fYear

2002

fDate

6-9 Oct. 2002

Abstract

Quality function deployment utilizes the house of quality to translate the voice of customers into product design and manufacturing requirements. In this paper, the modified house of quality is presented for the purpose of decision-making of reengineering objectives. The chance constraint programming model is developed to determine the minimal striving targets to realize the business strategy. The genetic algorithm is employed to solve the chance constraint programming problem. The 0-1 integer programming model based on the modified house of quality is derived to make the top-level decision-making strategy take the requirements of external customers and settle the internal problems. The case study demonstrates the detailed application of the systematic decision-making methodology.

Keywords

decision making; genetic algorithms; integer programming; quality control; systems re-engineering; 0-1 integer programming model; QFD-based decision-making approach; constraint programming model; decision-making methodology; decision-making strategy; genetic algorithm; manufacturing requirements; product design; quality function deployment; strategic business process reengineering; Business process re-engineering; Costs; Decision making; Design automation; Genetic algorithms; Information technology; Manufacturing automation; Product design; Quality function deployment; Tellurium;

fLanguage

English

Publisher

ieee

Conference_Titel

Systems, Man and Cybernetics, 2002 IEEE International Conference on

ISSN

1062-922X

Print_ISBN

0-7803-7437-1

Type

conf

DOI

10.1109/ICSMC.2002.1176364

Filename

1176364