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Integrating customer's preferences in the QFD planning process using a combined benchmarking and imprecise goal programming model
Author(s) -
Cherif Mohamed Sadok,
Chabchoub Habib,
Aouni Belaïd
Publication year - 2010
Publication title -
international transactions in operational research
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.032
H-Index - 52
eISSN - 1475-3995
pISSN - 0969-6016
DOI - 10.1111/j.1475-3995.2009.00718.x
Subject(s) - benchmarking , goal programming , quality function deployment , computer science , process (computing) , customer satisfaction , operations research , process management , management science , operations management , business , engineering , marketing , operating system , value engineering
Quality function deployment (QFD) is a customer‐oriented design tool for developing new or improved products to achieve higher customer satisfaction by integrating various functions of an organization. The engineering characteristics (ECs) affecting the product performances are designed to match the customer attributes (CAs). However, from the viewpoint of the QFD team, product design processes are performed in imprecise environments, and more than one factor must be taken into account in determining the target levels of ECs, especially the limited resources and increased market competition. This paper presents an imprecise goal programming (GP) approach to determine the optimum target levels of ECs in QFD for maximizing customer satisfaction under resource limitation and considerations of market competition. Based on benchmarking data of CAs, the concept of satisfaction functions is utilized to formulate explicitly the customer's preferences and to integrate the competitive analysis of target market into the modelling and solution process. In addition, the relationships linking CAs and ECs and the ECs to each other are integrated by functional relationships. The proposed approach will be illustrated through a car door design example.