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Vendor evaluation with performance variability: A max-min approach

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  • Talluri, Srinivas
  • Narasimhan, Ram

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  • Talluri, Srinivas & Narasimhan, Ram, 2003. "Vendor evaluation with performance variability: A max-min approach," European Journal of Operational Research, Elsevier, vol. 146(3), pages 543-552, May.
    • Handle: RePEc:eee:ejores:v:146:y:2003:i:3:p:543-552
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    1. Weber, Charles A. & Desai, Anand, 1996. "Determination of paths to vendor market efficiency using parallel coordinates representation: A negotiation tool for buyers," European Journal of Operational Research, Elsevier, vol. 90(1), pages 142-155, April.
    2. Weber, Charles A. & Current, John R. & Benton, W. C., 1991. "Vendor selection criteria and methods," European Journal of Operational Research, Elsevier, vol. 50(1), pages 2-18, January.
    3. Talluri, Srinivas, 2002. "A buyer-seller game model for selection and negotiation of purchasing bids," European Journal of Operational Research, Elsevier, vol. 143(1), pages 171-180, November.
    4. Charnes, A. & Cooper, W. W. & Rhodes, E., 1978. "Measuring the efficiency of decision making units," European Journal of Operational Research, Elsevier, vol. 2(6), pages 429-444, November.
    5. Weber, Charles A. & Current, John R. & Desai, Anand, 1998. "Non-cooperative negotiation strategies for vendor selection," European Journal of Operational Research, Elsevier, vol. 108(1), pages 208-223, July.
    6. Verma, Rohit & Pullman, Madeleine E., 1998. "An analysis of the supplier selection process," Omega, Elsevier, vol. 26(6), pages 739-750, December.
    7. Weber, Charles A. & Current, John R., 1993. "A multiobjective approach to vendor selection," European Journal of Operational Research, Elsevier, vol. 68(2), pages 173-184, July.
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    Cited by:

    1. Nilsen Kundakcı, 2019. "A Comparative Analyze Based On EATWOS and OCRA Methods For Supplier Evaluation," Alphanumeric Journal, Bahadir Fatih Yildirim, vol. 7(1), pages 103-112, June.
    2. Wu, Desheng Dash & Zhang, Yidong & Wu, Dexiang & Olson, David L., 2010. "Fuzzy multi-objective programming for supplier selection and risk modeling: A possibility approach," European Journal of Operational Research, Elsevier, vol. 200(3), pages 774-787, February.
    3. Amit V. Deokar & Omar F. El-Gayar, 2011. "Decision-enabled dynamic process management for networked enterprises," Information Systems Frontiers, Springer, vol. 13(5), pages 655-668, November.
    4. Sengupta, Jati K., 2005. "Nonparametric efficiency analysis under uncertainty using data envelopment analysis," International Journal of Production Economics, Elsevier, vol. 95(1), pages 39-49, January.
    5. Feng, Bo & Fan, Zhi-Ping & Li, Yanzhi, 2011. "A decision method for supplier selection in multi-service outsourcing," International Journal of Production Economics, Elsevier, vol. 132(2), pages 240-250, August.
    6. Lin, Rong-Ho, 2012. "An integrated model for supplier selection under a fuzzy situation," International Journal of Production Economics, Elsevier, vol. 138(1), pages 55-61.
    7. Aly Owida & P.J. Byrne & Cathal Heavey & Paul Blake & Khaled S. El-Kilany, 2016. "A simulation based continuous improvement approach for manufacturing based field repair service contracting," International Journal of Production Research, Taylor & Francis Journals, vol. 54(21), pages 6458-6477, November.
    8. James J.H. Liou & Jolanta Tamošaitienė & Edmundas K. Zavadskas & Gwo-Hshiung Tzeng, 2016. "New hybrid COPRAS-G MADM Model for improving and selecting suppliers in green supply chain management," International Journal of Production Research, Taylor & Francis Journals, vol. 54(1), pages 114-134, January.
    9. Jui-Fang Chang & Chao-Jung Lai & Chia-Nan Wang & Ming-Hsien Hsueh & Van Thanh Nguyen, 2021. "Fuzzy Optimization Model for Decision-Making in Supply Chain Management," Mathematics, MDPI, vol. 9(4), pages 1-16, February.
    10. Prakash, Chandra & Barua, M.K., 2016. "An analysis of integrated robust hybrid model for third-party reverse logistics partner selection under fuzzy environment," Resources, Conservation & Recycling, Elsevier, vol. 108(C), pages 63-81.
    11. Marcus V. C. Fagundes & Bernd Hellingrath & Francisco G. M. Freires, 2021. "Supplier Selection Risk: A New Computer-Based Decision-Making System with Fuzzy Extended AHP," Logistics, MDPI, vol. 5(1), pages 1-17, March.
    12. José A. Ventura & Boaz Golany & Abraham Mendoza & Chenxi Li, 2022. "A multi-product dynamic supply chain inventory model with supplier selection, joint replenishment, and transportation cost," Annals of Operations Research, Springer, vol. 316(2), pages 729-762, September.
    13. Chen, Chien-Ming, 2009. "A fuzzy-based decision-support model for rebuy procurement," International Journal of Production Economics, Elsevier, vol. 122(2), pages 714-724, December.
    14. Štěpán Veselý & Mirko Dohnal, 2012. "Decision making in goverment tenders: A formalized qualitative model," Acta Universitatis Agriculturae et Silviculturae Mendelianae Brunensis, Mendel University Press, vol. 60(4), pages 397-406.
    15. Lorentziadis, Panos L., 2010. "Post-objective determination of weights of the evaluation factors in public procurement tenders," European Journal of Operational Research, Elsevier, vol. 200(1), pages 261-267, January.
    16. Saen, Reza Farzipoor, 2007. "Suppliers selection in the presence of both cardinal and ordinal data," European Journal of Operational Research, Elsevier, vol. 183(2), pages 741-747, December.
    17. Hossein Abdollahnejadbarough & Kalyan S Mupparaju & Sagar Shah & Colin P. Golding & Abelardo C. Leites & Timothy D. Popp & Eric Shroyer & Yanai S. Golany & Anne G. Robinson & Vedat Akgun, 2020. "Verizon Uses Advanced Analytics to Rationalize Its Tail Spend Suppliers," Interfaces, INFORMS, vol. 50(3), pages 197-211, May.
    18. Guo, Cong & Li, Xueping, 2014. "A multi-echelon inventory system with supplier selection and order allocation under stochastic demand," International Journal of Production Economics, Elsevier, vol. 151(C), pages 37-47.
    19. Xiao, Tiaojun & Choi, Tsan-Ming, 2009. "Purchasing choices and channel structure strategies for a two-echelon system with risk-averse players," International Journal of Production Economics, Elsevier, vol. 120(1), pages 54-65, July.
    20. Omar Abbaas & Jose A. Ventura, 2024. "An Iterative Procurement Combinatorial Auction Mechanism for the Multi-Item, Multi-Sourcing Supplier-Selection and Order-Allocation Problem under a Flexible Bidding Language and Price-Sensitive Demand," Mathematics, MDPI, vol. 12(14), pages 1-30, July.
    21. Ho, William & Xu, Xiaowei & Dey, Prasanta K., 2010. "Multi-criteria decision making approaches for supplier evaluation and selection: A literature review," European Journal of Operational Research, Elsevier, vol. 202(1), pages 16-24, April.
    22. W C Tsai, 2009. "Fuzzy measures of supplier evaluation under lean concepts," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 60(7), pages 1005-1011, July.
    23. Sayan Chakraborty & Akshat Jain & S. P. Sarmah, 2022. "An integrated mathematical model based on grey optimal ranking for supplier selection considering pandemic situation," OPSEARCH, Springer;Operational Research Society of India, vol. 59(4), pages 1613-1648, December.
    24. Talluri, Srinivas & Narasimhan, Ram & Nair, Anand, 2006. "Vendor performance with supply risk: A chance-constrained DEA approach," International Journal of Production Economics, Elsevier, vol. 100(2), pages 212-222, April.
    25. Sheu, Jiuh-Biing, 2008. "A hybrid neuro-fuzzy analytical approach to mode choice of global logistics management," European Journal of Operational Research, Elsevier, vol. 189(3), pages 971-986, September.

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