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A new fuzzy multi-criteria framework for measuring sustainability performance of a supply chain

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Author Info

  • Erol, Ismail
  • Sencer, Safiye
  • Sari, Ramazan

Abstract

Sustainable supply chain performance measurement is aimed at addressing environmental, social and economic aspects of sustainable supply chain management. It can be argued that it is not easy to reduce all dimensions of sustainable supply chain to a single unit. Then, the issue is that all valuations should somehow be reducible to a single one-dimensional standard. Multi-criteria evaluation introduces a framework to remedy this issue. As a consequence, multi-criteria evaluation seems to supply a proper and adequate assessment framework for sustainable supply chain assessment. In this study, a multi-criteria framework based on fuzzy entropy and fuzzy multi-attribute utility (FMAUT) is proposed in order to evaluate and compare the company performances in terms of sustainable supply chain. However, note that reducing all aspects of sustainable supply chain to a single unit using a multi-criteria framework may not be sufficient to satisfy all the needs of decision makers although it is used to evaluate sustainability performance of supply chains with respect to three aspects. Therefore, in this research, an alert management system is also developed to satisfy further requirements of users. The proposed frameworks are tested using data obtained from one of the middle sized Turkish grocery retailers.

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Bibliographic Info

Article provided by Elsevier in its journal Ecological Economics.

Volume (Year): 70 (2011)
Issue (Month): 6 (April)
Pages: 1088-1100

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Handle: RePEc:eee:ecolec:v:70:y:2011:i:6:p:1088-1100

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Web page: http://www.elsevier.com/locate/ecolecon

Related research

Keywords: Sustainable supply chain Multi-criteria decision making Fuzzy arithmetic Performance analysis;

References

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  1. Ismail Erol & Nigar Cakar & Derya Erel & Ramazan Sari, 2009. "Sustainability in the Turkish retailing industry," Sustainable Development, John Wiley & Sons, Ltd., vol. 17(1), pages 49-67.
  2. Ness, Barry & Urbel-Piirsalu, Evelin & Anderberg, Stefan & Olsson, Lennart, 2007. "Categorising tools for sustainability assessment," Ecological Economics, Elsevier, vol. 60(3), pages 498-508, January.
  3. Rodrigo Lozano, 2007. "Collaboration as a pathway for sustainability," Sustainable Development, John Wiley & Sons, Ltd., vol. 15(6), pages 370-381.
  4. Pohekar, S.D. & Ramachandran, M., 2006. "Multi-criteria evaluation of cooking devices with special reference to utility of parabolic solar cooker (PSC) in India," Energy, Elsevier, vol. 31(8), pages 1215-1227.
  5. Krajnc, Damjan & Glavic, Peter, 2005. "How to compare companies on relevant dimensions of sustainability," Ecological Economics, Elsevier, vol. 55(4), pages 551-563, December.
  6. Munda, Giuseppe, 2004. "Social multi-criteria evaluation: Methodological foundations and operational consequences," European Journal of Operational Research, Elsevier, vol. 158(3), pages 662-677, November.
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Citations

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Cited by:
  1. Erol, İsmail & Sencer, Safiye & Özmen, Aslı & Searcy, Cory, 2014. "Fuzzy MCDM framework for locating a nuclear power plant in Turkey," Energy Policy, Elsevier, vol. 67(C), pages 186-197.
  2. Doukas, Haris, 2013. "Modelling of linguistic variables in multicriteria energy policy support," European Journal of Operational Research, Elsevier, vol. 227(2), pages 227-238.
  3. Govindan, K. & Jafarian, A. & Khodaverdi, R. & Devika, K., 2014. "Two-echelon multiple-vehicle location–routing problem with time windows for optimization of sustainable supply chain network of perishable food," International Journal of Production Economics, Elsevier, vol. 152(C), pages 9-28.

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