A new approach to quality function deployment planning with financial consideration

  • Authors:

  • Jiafu Tang;Richard Y. K. Fung;Baodong Xu;Dingwei Wang

  • Affiliations:

  • Department of Systems Engineering, School of Information Science & Engineering, Northeastern University (NEU), PO 135, Shenyang, Liaoning 110006, People's Republic of China;Department of Manufacturing Engineering & Engineering Management, City University of Hong Kong, 83 Tat Chee Avenue, Kowloon, Hong Kong;Department of Systems Engineering, School of Information Science & Engineering, Northeastern University (NEU), PO 135, Shenyang, Liaoning 110006, People's Republic of China;Department of Systems Engineering, School of Information Science & Engineering, Northeastern University (NEU), PO 135, Shenyang, Liaoning 110006, People's Republic of China

  • Venue:
  • Computers and Operations Research
  • Year:
  • 2002

Quantified Score

Hi-index 0.02

Visualization

Abstract

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.