Resilient supplier selection under a fuzzy environment

International Journal of Management Science and Engineering Management

Volumn 9, Issue 2, 2014, Pages 147-156

  Haldar, Anupam ^a   Ray, Amitava ^b   Banerjee, Debamalya ^c   Ghosh, Surojit ^d  

^a NETAJI SUBHASH ENGINEERING COLLEGE   (India)

^b NATIONAL INSTITUTE OF TECHNOLOGY SILCHAR   (India)

^c JADAVPUR UNIVERSITY   (India)

^d Institution of Engineers   (India)

Author keywords

FTOPSIS; fuzzy sets; resiliency; sensitivity analysis

Indexed keywords

EID: 84961966475     PISSN: 17509653     EISSN: 17509661     Source Type: Journal    
DOI: 10.1080/17509653.2013.869040     Document Type: Article

References (34)

1. Azadegan, A., Porobic, L., Ghazinoory, S., Samouei, P., & Kheirkhah, A. S., (2011). Fuzzy logic in manufacturing: A review of literature and a specialized application. International Journal of Production Economics, 132, 258–270.
2. Bellman, R. E., & Zadeh, L. A., (1970). Decision-making in a fuzzy environment management. Science, 17, 141–164.
3. Beskese, A., Kahraman, C., & Irani, Z., (2004). Quantification of flexibility in advanced manufacturing systems using fuzzy concept. International Journal of Production Economics, 89, 45–56.
4. Bhamra, R., Dani, S., & Burnard, K., (2011). Resilience: The concept, a literature review and future directions. International Journal of Production Research, 49, 5375–5393.
5. Blackhurst, J., Craighead, C. W., Elkins, D., & Handfield, R. B., (2005). An empirically derived agenda of critical research issues for managing supply-chain disruptions. International Journal of Production Research, 43, 4067–4081.
6. Chen, C. T., Lin, C. T., & Huang, S. F., (2006). A fuzzy approach for supplier evaluation and selection in supply chain management. International Journal of Production Economics, 102, 289–301.
7. Christopher, M., & Peck, H., (2004). Building the resilient supply chain. International Journal of Logistics Management, 15, 1–13.
8. Chuu, S. J., (2009). Selecting the advanced manufacturing technology using fuzzy multiple attributes group decision making with multiple fuzzy information. Computers & Industrial Engineering, 57, 1033–1042.
9. Dalah, D., Hayajneh, M., & Bateieha, F., (2011). A fuzzy multi-criteria decision making model for supplier selection. Expert Systems with Applications, 38, 8384–8391.
10. Deb, S. K., Haldar, A., & Bhattacharya, R. (2006). Flexibility measurement using fuzzy set theory under manufacturing environment. First International & 22nd All India Manufacturing Technology Design & Research Conference (22nd AIMTDR). 21–23 December 2006, IIT Roorkee.
11. Ding, J. F., (2011). An integrated fuzzy TOPSIS method for ranking alternatives and its application. Journal of Marine Science and Technology, 19, 341–352.
12. Esper, T. L., Fugate, B. S., & Davis-Sramek, B., (2007). Logistics learning capability: Sustaining the competitive advantage gained through logistics leverage. Journal of Business Logistics, 28, 57–82.
13. Fiksel, J., (2006). Sustainability and resilience: Toward a systems approach. Sustainability Science, Practice and Policy, 2, 14–21.
14. Goh, M., Lim, J. Y. S., & Meng, F., (2007). A stochastic model for risk management in global supply chain networks. European Journal of Operational Research, 182, 164–173.
15. Haldar, A., Banerjee, D., Ray, A., & Ghosh, S., (2012a). An integrated approach for supplier selection. Procedia Engineering (Elsevier), 38, 2087–2107.
16. Haldar, A., Ray, A., Banerjee, D., & Ghosh, S. (2012b). Supplier selection in the intuitionistic environment under requirement perspective. Proceedings of the 4th International and 25th AIMTDR Conference (2012). 14–16 December 2012, Jadavpur University, Vol. 2, 1287–1292.
17. Haldar, A., Ray, A., Banerjee, D., & Ghosh, S., (2012c). A hybrid MCDM model for resilient supplier selection. International Journal of Management Science and Engineering Management, 7, 284–292.
18. Hishamuddin, H., Sarker, R. A., & Essam, D., (2012). A disruption recovery model for a single stage production-inventory system. European Journal of Operational Research, 222, 464–473.
19. Jolai, F., Yazdian, S. A., Shahanaghi, K., & Khojasteh, M. A., (2011). Integrating fuzzy TOPSIS and multi-period goal programming for purchasing multiple products from multiple suppliers. Journal of Purchasing & Supply Management, 17, 42–53.
20. Karsak, E. E., & Tolga, E., (2001). Fuzzy multi-criteria decision-making procedure for evaluating advanced manufacturing system investments. International Journal of Production Economics, 69, 49–64.
21. Klibi, W., Martel, A., & Guitouni, A., (2010). The design of robust value-creating supply chain networks: A critical review. European Journal of Operational Research, 203(2), 283–293.
22. Knemeyer, A. M., Zinn, W., & Eroglu, C., (2009). Proactive planning for catastrophic events in supply chains. Journal of Operations Management, 27, 141–153.
23. Liao, C. N., & Kao, H. P., (2011). An integrated fuzzy TOPSIS and MCGP approach to supplier selection in supply chain management. Expert Systems with Applications, 38, 10803–10811.
24. Lin, C. T., Chen, C. B., & Ting, Y. C., (2011). An ERP model for supplier selection in electronics industry. Expert Systems with Applications, 38, 1760–1765.
25. Liu, H.-T., (2011). Product design and selection using fuzzy QFD and fuzzy MCDM approaches. Applied Mathematical Modelling, 35, 482–496.
26. Peng, P., Snyder, L. V., Lim, A., & Liu, Z., (2011). Reliable logistics networks design with facility disruptions. Transportation Research Part B: Methodological, 45, 1190–1211.
27. Pettit, T. J., Fiksel, J., & Croxton, K. L., (2011). Ensuring supply chain resilience: Development of a conceptual framework. Journal of Business Logistics, 31, 1–21.
28. Ponomarov, S. Y., & Holcomb, M. C., (2009). Understanding the concept of supply chain resilience. International Journal of Logistics Management, 20, 124–143.
29. Ray, A., Sarkar, B., & Sanyal, S., (2010). The TOC-based algorithm for solving multiple constraint resources. IEEE Transactions on Engineering Management, 57, 301–309.
30. Sheffi, Y., & Rice, J., (2005). A supply chain view of the resilient enterprise. MIT Sloan Management Review, 47, 41–48.
31. Tavana, M., & Hatami-Marbini, A., (2011). A group AHP-TOPSIS framework for human space flight mission planning at NASA. Expert Systems with Applications, 387, 13588–13603.
32. Tuncel, G., & Alpan, G., (2010). Risk assessment and management for supply chain networks: A case study. Computers in Industry, 61, 250–259.
33. Wu, T., Blackhurst, J., & O'Grady, P., (2007). Methodology for supply chain disruption analysis. International Journal of Production Research, 45, 1665–1682.
34. Zadeh, L. A., (1975). The concept of linguistic variable and its application to approximate reasoning. Information Science, 8, 199–249.