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Use of fuzzy logic for measuring practices and performances of supply chain

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  • Kozarević, Safet
  • Puška, Adis

Abstract

The objective of this research is to show an innovative way for processing the collected data and measurement of practice and performances of supply chain by means of transformation of the obtained linguistic values, using the appropriate fuzzy methods, into crisp values of research variable dimensions.

Suggested Citation

  • Kozarević, Safet & Puška, Adis, 2018. "Use of fuzzy logic for measuring practices and performances of supply chain," Operations Research Perspectives, Elsevier, vol. 5(C), pages 150-160.
    • Handle: RePEc:eee:oprepe:v:5:y:2018:i:c:p:150-160
    DOI: 10.1016/j.orp.2018.07.001
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    5. Yılmaz Balaman, Şebnem & Selim, Hasan, 2014. "A fuzzy multiobjective linear programming model for design and management of anaerobic digestion based bioenergy supply chains," Energy, Elsevier, vol. 74(C), pages 928-940.
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    8. Zhou, Honggeng & Shou, Yongyi & Zhai, Xin & Li, Ling & Wood, Craig & Wu, Xiaobo, 2014. "Supply chain practice and information quality: A supply chain strategy study," International Journal of Production Economics, Elsevier, vol. 147(PC), pages 624-633.
    9. 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.
    10. Kajal Chatterjee & Samarjit Kar, 2016. "Multi-criteria analysis of supply chain risk management using interval valued fuzzy TOPSIS," OPSEARCH, Springer;Operational Research Society of India, vol. 53(3), pages 474-499, September.
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    Cited by:

    1. García-Cáceres, Rafael Guillermo, 2020. "Stochastic Multicriteria Acceptability Analysis – Matching (SMAA-M)," Operations Research Perspectives, Elsevier, vol. 7(C).
    2. Raut, Rakesh D. & Gardas, Bhaskar B. & Narwane, Vaibhav S. & Narkhede, Balkrishna E., 2019. "Improvement in the food losses in fruits and vegetable supply chain - a perspective of cold third-party logistics approach," Operations Research Perspectives, Elsevier, vol. 6(C).

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    More about this item

    Keywords

    Fuzzy logic; Fuzzy entropy; FTOPSIS; Supply chain practices; Supply chain performances;
    All these keywords.

    JEL classification:

    • C44 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Operations Research; Statistical Decision Theory
    • M11 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Business Administration - - - Production Management

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