PERFORMANCE APPRAISAL OF REVERSE LOGISTICS USING INTERVAL-VALUED FUZZY NUMBERS SET

Authors

  • Nitin Kumar Sahu Department of Mechanical Engineering, National Institute of Technology, Rourkela, Orissa-769008, India
  • Saurav Datta Department of Mechanical Engineering, National Institute of Technology, Rourkela, Orissa-769008, India
  • Siba Sankar Mahapatra Department of Mechanical Engineering, National Institute of Technology, Rourkela, Orissa-769008, India

Keywords:

Reverse Logistics, Interval-Valued (IV) Fuzzy Numbers Set

Abstract

Reverse logistics (RL) is the process of moving goods from their typical final destination for the purpose of capturing value, or proper disposal. Reverse logistics also includes processing returned merchandise due to damage, seasonal inventory, restock, salvage, recalls, and excess inventory. It also includes recycling programs, hazardous material programs, obsolete equipment disposition, and asset recovery. In relation to reverse supply chain management, reverse logistics performance appraisal is highly essential. To this end, the present paper presents a fuzzy based RL performance appraisal platform, applied in a case study. Interval-Valued Fuzzy Numbers Set (IVFNS) has been explored here to facilitate such a decision-modeling.

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Published

2012-09-01

How to Cite

[1]
“PERFORMANCE APPRAISAL OF REVERSE LOGISTICS USING INTERVAL-VALUED FUZZY NUMBERS SET”, JME, vol. 7, no. 3, pp. 146–151, Sep. 2012, Accessed: Dec. 22, 2024. [Online]. Available: https://smenec.org/index.php/1/article/view/365

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