Browse > Article
http://dx.doi.org/10.11627/jkise.2015.38.2.120

Dynamic Programming Approach for Determining Optimal Levels of Technical Attributes in QFD under Multi-Segment Market  

Yoo, Jaewook (Department of Business Administration, Dong-A University)
Publication Information
Journal of Korean Society of Industrial and Systems Engineering / v.38, no.2, 2015 , pp. 120-128 More about this Journal
Abstract
Quality function deployment (QFD) is a useful method in product design and development to maximize customer satisfaction. In the QFD, the technical attributes (TAs) affecting the product performance are identified, and product performance is improved to optimize customer requirements (CRs). For product development, determining the optimal levels of TAs is crucial during QFD optimization. Many optimization methods have been proposed to obtain the optimal levels of TAs in QFD. In these studies, the levels of TAs are assumed to be continuous while they are often taken as discrete in real world application. Another assumption in QFD optimization is that the requirements of the heterogeneous customers can be generalized and hence only one house of quality (HoQ) is used to connect with CRs. However, customers often have various requirements and preferences on a product. Therefore, a product market can be partitioned into several market segments, each of which contains a number of customers with homogeneous preferences. To overcome these problems, this paper proposes an optimization approach to find the optimal set of TAs under multi-segment market. Dynamic Programming (DP) methodology is developed to maximize the overall customer satisfaction for the market considering the weights of importance of different segments. Finally, a case study is provided for illustrating the proposed optimization approach.
Keywords
Quality Function Deployment; Dynamic Programming; Multi-Segment Market;
Citations & Related Records
연도 인용수 순위
  • Reference
1 Akao, Y., Quality function deployment : integrating customer requirements into product design, Cambridge, MA, Productivity Press, 1990.
2 Askin, R.G. and Dawson, D.W., Maximizing customer satisfaction by optimal specification of engineering characteristics. IIE Transactions, 2000, Vol. 32, pp. 9-20.
3 Hauser, J.R. and Clausing, D., The house of quality. Harvard Business Review, 1988, Vol. 66, No. 3, pp. 63-73.
4 Kim, K.J., Moskowitz, H., and Dhingra, A., Fuzzy multicriteria models for quality function deployment. European Journal of Operational Research, 2000, Vol. 121, No. 3, pp. 504-518.   DOI
5 Lai, X., Xie, M., and Tan, K.C., Optimizing product design using the Kano model and QFD. In Proceedings of the 2004 IEEE international engineering management conference, October 18-21, Singapore.
6 Lai, X., Xie, M., and Tan, K.C., Dynamic programming for QFD Optimization. Quality and Reliability Engineering International, 2005, Vol. 21, pp. 769-780.   DOI
7 Lai, X., Xie, M., and Tan, K.C., QFD optimization using linear physical programming. Engineering Optimization 2006, Vol. 38, No. 5, pp. 593-607.   DOI
8 Luo, X.G., Kwong, C.K., and Tang, J.F., Determining optimal levels of engineering characteristics in quality function deployment under multi-segment market. Computers and Industrial Engineering, 2010, Vol. 59, No. 1, pp. 126-135.   DOI
9 Moskowitz, H. and Kim, K.J., QFD optimizer : A novice friendly quality function deployment decision support system for optimizing product designs. Computers and Industrial Engineering, 1997, Vol. 32, No. 3, pp. 641-655.   DOI
10 Park, T. and Kim, K., Determination of an optimal set of design requirements using house of quality. Journal of Operations Management, 1998, Vol. 16, pp. 569-581.   DOI
11 Sohn, S.Y. and Choi, I.S., Fuzzy QFD for supply chain management with reliability consideration. Reliability Engineering and System Safety, 2001, Vol. 72, pp. 327-334.   DOI
12 Tang, J., Fung, R.Y.K., Xu, B., and Wang, D., A new approach to quality function deployment planning with financial consideration. Computers and Operations Research, 2002, Vol. 29, pp. 1447-1463.   DOI
13 Urban, G.L. and Hauser, J.R., Design and marketing of new products. Englewood Cliffs, Prentice Hall Press, 1993.
14 Wasserman, G.S., On how to prioritize design requirements during the QFD planning process. IIE Transactions, 1993, Vol. 25, No. 3, pp. 59-65.   DOI
15 Yamashina, H., Ito, T., and Kawada, H., Innovative product development process by integrating QFD and TRIZ. International Journal of Production Research, 2002, Vol. 40, No. 5, pp. 1031-1050.   DOI