Article ID: | iaor200321 |
Country: | United Kingdom |
Volume: | 29 |
Issue: | 11 |
Start Page Number: | 1447 |
End Page Number: | 1463 |
Publication Date: | Sep 2002 |
Journal: | Computers and Operations Research |
Authors: | Wang Dingwei, Tang Jiafu, Fung Richard Y.K., Xu Baodong |
Keywords: | fuzzy sets, programming: mathematical, heuristics |
Quality function deployment (QFD) is becoming a widely used customer-oriented approach and tool in product design. Taking into account the financial factors and uncertainties in the product design process, this paper deals with a fuzzy formulation combined with a genetic-based interactive approach to QFD planning. By introducing new concepts of planned degree, actual achieved degree, actual primary costs required and actual planned costs, two types of fuzzy optimisation models are discussed in this paper. These models consider not only the overall customer satisfaction, but also the enterprise satisfaction with the costs committed to the product. With the interactive approach, the best balance between enterprise satisfaction and overall customer satisfaction can be obtained, and the preferred solutions under different business criteria can be achieved through human–computer interaction.