Dynamic programming for QFD optimization

Quality and Reliability Engineering International

Volumn 21, Issue 8, 2005, Pages 769-780

  Lai, X ^a   Xie, M ^a,b,c   Tan, K C ^a  

^a NATIONAL UNIVERSITY OF SINGAPORE   (Singapore)

^b ASQ ^*  (Singapore)

^c IEEE   (Singapore)

Author keywords

Customer requirements; Dynamic programming; Optimization; Quality function deployment; Resource allocation; Technical attributes

Indexed keywords

CUSTOMER REQUIREMENTS; OPTIMIZATION METHODS; OPTIMIZATION PROBLEMS; TECHNICAL ATTRIBUTES;

CONSTRAINT THEORY; CUSTOMER SATISFACTION; DYNAMIC PROGRAMMING; OPTIMIZATION; PRODUCT DESIGN; RESOURCE ALLOCATION;

QUALITY FUNCTION DEPLOYMENT;

EID: 28844454524     PISSN: 07488017     EISSN: None     Source Type: Journal    
DOI: 10.1002/qre.685     Document Type: Article

References (21)

1. Akao Y. Quality Function Deployment: Integrating Customer Requirements into Product Design. Productivity Press: Cambridge, MA, 1990.
2. Xie M, Tan KC, Goh TN. Advanced QFD Applications. ASQ Quality Press: Milwaukee, WI, 2003.
3. Zairi M. The art of benchmarking: Using customer feedback to establish a performance gap. Total Quality Management 1992; 3:177-188.
4. Park T, Kim KJ. Determination of an optimal set of design requirements using house of quality. Journal of Operations Management 1998; 16:569-581.
5. Halog A, Schultmann F, Rentz O. Using quality function deployment for technique selection for optimum environmental performance improvement. Journal of Cleaner Production 2001; 9:387-394.
6. Moskowitz H, Kim KJ. QFD optimizer: A novice friendly quality function deployment decision support system for optimising product designs. Computers and Industrial Engineering 1997; 32:641-655.
7. Zhou M. Fuzzy logic and optimization models for implementing QFD. Computers and Industrial Engineering 1998; 35:237-240.
8. Askin RG, Dawson DW. Maximizing customer satisfaction by optimal specification of engineering characteristics. IIE Transactions 2000; 32:9-20.
9. Fung RYK, Tang J, Tu Y, Wang D. Product design resources optimisation using a non-linear fuzzy quality functional deployment model. International Journal of Production Research 2002; 40:585-599.
10. Tang J, Fung RYK, Xu B, Wang D. A new approach to quality function deployment planning with financial consideration. Computers and Operations Research 2002; 29:1447-1463.
11. Karsak EE, Sozer S, Alptekin SE. Product planning in quality function deployment using a combined analytic network process and goal programming approach. Computers and Industrial Engineering 2002; 44:171-190.
12. Sohn SY, Choi IS. Fuzzy QFD for supply chain management with reliability consideration. Reliability Engineering and Systems Safety 2001; 72:327-334.
13. Bode J, Fung RYK. Cost engineering with quality function deployment. Computers and Industrial Engineering 1998; 35:587-590.
14. Kumar P, Barua PB, Gaindhar JL. Quality optimization (multi- characteristics) through Taguchi's technique and utility concept. Quality and Reliability Engineering International 2000; 16:475-485.
15. Dawson D, Askin RG. Optimal new product design using quality function deployment with empirical value functions. Quality and Reliability Engineering International 1999; 15:17-32.
16. Yoder B, Mason D. Evaluating QFD relationships through the use of regression analysis. Proceedings of the 7th Symposium on Quality Function Deployment (ASI&GOAL/QPC). American Supplier Institute: Livonia, MI, 1995; 35-59.
17. Hillier FS, Lieberman GJ. Introduction to Operation Research. McGraw-Hill: New York, 2002.
18. Wasserman GS. On how to prioritise design requirements during the QFD planning process. IIE Transactions 1993; 25:59-65.
19. Saaty TL. Fundamentals of Decision Making and Priority Theory with the Analytic Hierarchy Process. RWS Publications: Pittsburgh, PA, 1994; 20-21.
20. Yamashina H, Ito T, Kawada H. Innovative product development process by integrating QFD and TRIZ. International Journal of Production Research 2002; 40:1031-1050.
21. Xie M, Goh TN, Wang H. A study of the sensitivity of 'customer voice' in QFD analysis. International Journal of Industrial Engineering 1998; 5:301-307.