A fuzzy QFD approach to determine supply chain management strategies in the dairy industry

Journal of Intelligent Manufacturing

Volumn 24, Issue 6, 2013, Pages 1111-1122

  Ayaǧ, Zeki ^a   Samanlioglu, Funda ^a   Büyüközkan, Gülçin ^b  

^a KADIR HAS UNIVERSITY   (Turkey)

^b GALATASARAY UNIVERSITY   (Turkey)

Author keywords

Dairy customer needs; Dairy logistics requirements; Fuzzy QFD; Multi objective mathematical programming; Supply chain management strategies

Indexed keywords

CUSTOMER NEED; FUZZY QFD; MULTI-OBJECTIVE MATHEMATICAL PROGRAMMING; QUALITATIVE INFORMATION; QUALITY FUNCTION DEPLOYMENTS (QFD); QUANTITATIVE PARAMETERS; SUPPLY CHAIN MANAGEMENT STRATEGY; SUPPLY CHAIN MANAGEMENTS (SCM);

CUSTOMER SATISFACTION; DAIRY PRODUCTS; MATHEMATICAL PROGRAMMING; PRODUCT DESIGN; QUALITY FUNCTION DEPLOYMENT;

SUPPLY CHAIN MANAGEMENT;

EID: 84888646202     PISSN: 09565515     EISSN: 15728145     Source Type: Journal    
DOI: 10.1007/s10845-012-0639-4     Document Type: Article

References (28)

1. Akao Y. (1990) Quality function deployment: Integrating customer requirements into product design. Productivity Press, Cambridge, MA
2. Ayag Z. (2005) A fuzzy AHP-based simulation approach to concept evaluation in a NPD environment. IIE Transactions 37: 827-842
3. Ayag Z.; Ozdemir R. G. (2011) An intelligent approach to machine tool selection through fuzzy analytic network process. Journal of Intelligent Manufacturing 22: 163-177
4. Bech, A. C.; Engelund, E.; Juhl, H. J.; Kristensen, K.; Poulsen, C. S. (1994). QFood: Optimal design of food products, MAPP working paper no. 19 Copenhagen: MAPP.
5. Bech, A. C.; Kristensen, K.; Juhl, H. J.; Poulsen, C. S. (1997). Development of farmed smoked eel in accordance with consumer demands. In J. B. Luten, T. Børresen, & J. Oehlenschläger (Eds.), Seafood from producer to consumer-integrated approach to quality (pp. 3-19). Amsterdam: Elsevier Science B.V.
6. Costa, A. I. A. (1996). Development of methodologies for quality modelling: An application on tomato ketchup, MSc Thesis, Wageningen: Wageningen University, Department of Agrotechnology and Food Sciences Inte-grated Food Technology.
7. Fung R. Y. K.; Popplewell K.; Xie J. (1998) An intelligent hybrid system for customer requirements analysis and product attribute targets determination. International Journal of Production Research 36: 13-34
8. Fung R. Y. K.; Tang J.; Tu Y. L.; Wang D. (2002) Product design resource optimization using a non-linear fuzzy quality function deployment model. International Journal of Production Research 40: 585-599
9. Holmen, E.; Kristensen, P. S. (1996). Downstream and upstream extension of the house of quality, MAPP working paper no. 37 Copenhagen: MAPP.
10. Kaufmann A.; Gupta M. M. (1985) Introduction to fuzzy arithmetic: Theory and applications. Van Nostrand Reinhold, New York
11. Kim K. J.; Moskowitz H.; Dhingra A.; Evans G. (2000) Fuzzy multicriteria models for quality function deployment. European Journal of Operation Research 121: 504-518
12. King B. (1987) Better designs in half the time: Implementing QFD in America. Goal/QPC, Methuen, MA
13. Korsten, M. (2000). Technology-initiated, consumer-oriented product development, MSc Thesis, Wageningen: Wageningen University, Department of Agro-technology and Food Sciences-Integrated Food Technology.
14. Lee, A. R. (1999). Application of modified fuzzy AHP method to analyze bolting sequence of structural joints, UMI Dissertation Services, A Bell & Howell Company.
15. Miettinen, K. (1999). Nonlinear multiobjective optimization, Kluwer's International Series.
16. Moskowitz H.; Kim K. J. (1997) QFD optimizer: A novice friendly quality function deployment decision support system for optimizing product designs. Computers and Industrial Engineering 32: 641-655
17. Negoita C. V. (1985) Expert systems and fuzzy systems. The Benjamin/Cummings, Menlo Park, California
18. Park T.; Kim K. J. (1998) Determination of an optimal set of design requirements using house of quality. Journal of Operations Management 16: 569-581
19. Saaty T. L. (1981) The analytic hierarchy process. McGraw-Hill, New York
20. Saaty T. L. (1989) Decision making, scaling, and number crunching. Decision Science 20: 404-409
21. Shen X. X.; Tan K. C.; Xie M. (2001) The implementation of quality function deployment based on linguistic data. Journal of Intelligent Manufacturing 12: 65-75
22. Trappey C. V.; Trappey A. J.; Hwang S.-J. (1996) A computerized quality function deployment approach for retail services. Computers & Industrial Engineering 30(4): 611-622
23. Vanegas L. V.; Labib A. W. (2001) Application of new fuzzy-weighted average (NFWA) method to engineering design evaluation. International Journal of Production Research 39: 1147-1162
24. Viaene J.; Januszewska R. (1999) Quality function deployment in the chocolate industry. Food Quality and Preference 10: 377-385
25. Wang J. (1999) Fuzzy outranking approach to prioritize design requirements in quality function deployment. International Journal of Production Research 37: 899-916
26. Wasserman G. S. (1993) On how to prioritize design requirements during the QFD planning process. IIE Transactions 25: 59-65
27. Zhou M. (1997) Fuzzy logic based models for quality planning and improvement. ASME Conference: Intelligent Engineering Systems through Artificial Neural Networks 7: 311-316
28. Zimmermann H. J. (1996) Fuzzy set theory and its applications. Kluwer, Massachusetts