Integrating fuzzy quality function deployment and linear goal programming for supplier selection

Tavakoli, M.; Pasha, N.

Growing Science » Uncertain Supply Chain Management » Integrating fuzzy quality function deployment and linear goal programming for supplier selection

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Uncertain Supply Chain Management

ISSN 2291-6830 (Online) - ISSN 2291-6822 (Print) Quarterly Publication Volume 3 Issue 1 pp. 1-10 , 2015

Integrating fuzzy quality function deployment and linear goal programming for supplier selection Pages 1-10 Download PDF

Authors: Masoud Tavakoli, Nima Pasha

Keywords: Decision-making, Linear Goal Programming (LGP), Quality Function Deployment (QFD), Supplier selection, Supply chain management

Abstract: Supply chain management (SCM) has recently received considerable attention in business management literature. Many companies consider a well-designed SCM and implement it to their systems to increase the performance of production systems. Supplier selection is a fundamental aspect of SCM, which heavily contributes to the overall supply chain performance. SCM is a complicated decision-making problem including both quantitative and qualitative factors. In this paper, we try to determine criteria, indicated by experts for selection of suitable suppliers. The proposed study obtains weight of each criterion by Fuzzy Linear Goal Programming (FLGP) technique. We rank the suppliers by Fuzzy Quality Function Deployment (FQFD) method. The study is executed for a PETROCHEMICAL Co. to evaluate and select the best suppliers.

How to cite this paper

 Tavakoli, M & Pasha, N. (2015). Integrating fuzzy quality function deployment and linear goal programming for supplier selection.Uncertain Supply Chain Management, 3(1), 1-10.

Refrences

Akao, Y. (1990). Quality Function Deployment: Integrating Customer Requirements into Product Design. Productivity Press. Cambridge, MA.

Bhattacharya, A., Geraghty, J., & Young, P. (2010). Supplier selection paradigm: An integrated hierarchical QFD methodology under multiple-criteria environmen. Applied Soft Computing, 10(4), 1013-1027.

Bottani, E., & Rizzi, A., (2006). Strategic management of logistics service: A fuzzy-QFD approach. International Journal of Production Economics, 103(2), 585–599.

Buffa, F. P., & Jackson, W. M. (1983). A goal programming model for purchase planning. Journal of Purchasing and Materials Management, 19(3), 27-34.

Chan, L. K., & Wu, M. L. (2005). A systematic approach to quality function deployment with a full illustrative example. Omega, 33(2), 119-139.

Chang, C. T. (2007). Multi-choice goal programming. Omega, 35(4), 389-396.

Charnes, A., & Cooper, W. W. (1957). Management models and industrial applications of linear programming. Management Science, 4(1), 38-91.

Fung, R. Y., Tang, J., Tu, P. Y., & Chen, Y. (2003). Modelling of quality function deployment planning with resource allocation. Research in Engineering Design, 14(4), 247-255.

Gonz?lez, M. E., Quesada, G., & Monge, C. A. M. (2004). Determining the importance of the supplier selection process in manufacturing: a case study. International Journal of Physical Distribution & Logistics Management, 34(6), 492-504.

Hauser, J.R., & Clausing, D., (1988). The house of quality. Harvard Business Review, 63–73.

Ignizio, J. P. (1985). Introduction to linear goal programmin". Beverly Hills: Sage University.

Khaleie, S., Fasanghari, M., & Tavassoli, E. (2012). Supplier selection using a novel intuitionist fuzzy clustering approach. Applied Soft Computing, 12(6), 1741-1754.

Lee, Y.-C., Hong, T.-P., & Wang, T.-C. (2008). Multi-level fuzzy mining with multiple minimum supports. Expert Systems with Applications, 34, 459-468.

Lee, S.M. (1972). Goal programming for decision analysis. Philadelphia: Auerbach.

Liu, H. T. (2009). The extension of fuzzy QFD: From product planning to part deployment. Expert Systems with Applications, 36(8), 11131-11144.

Narasimhan, R. (1980). Goal programming in a fuzzy environment. Decision sciences, 11(2), 325-336.

Sanayei, A., Farid Mousavi, S., Abdi, M. R., & Mohaghar, A. (2008). An integrated group decision-making process for supplier selection and order allocation using multi-attribute utility theory and linear programming. Journal of the Franklin Institute, 345(7), 731-747.

Sharma, D., Benton, W.C., & Srivastava, R. (1989). Competitive strategy and purchasing decisions. In Proceedings of the 1989 annual conference of the decision sciences institute, 1088-1090.

Tavakoli, M., Alem Tabriz, A., Farahani, R., & Rezapour Nikroo, E. (2013). Application of Fuzzy Goal Programming & F-PROMETHEE Approaches in Evaluating and Selecting the Best Suppliers in Supply Chain. Journal of Basic and Applied Scientific Research, 3(2), 1115-1127.

Tamiz, M., Jones, D., & Romero, C. (1998). Goal programming for decision making: an overview of the current state-of-art. European Journal of Operational Research, 111, 567-581.

Vairaktarakis, G. L. (1999). Optimization tools for design and marketing of new/improved products using the house of quality. Journal of Operations Management, 17(6), 645-663.

Zadeh, L. A. (1965). Fuzzy sets. Information and Control, 8, 338-353.