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2022 | OriginalPaper | Chapter

Reverse Logistics Performance Metrics: An Evaluation by Pythagorean Fuzzy Decision-Making Trial and Evaluation Laboratory Method

Authors : Himanshu Prajapati, Ravi Kant

Published in: Recent Advances in Manufacturing Modelling and Optimization

Publisher: Springer Nature Singapore

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Abstract

Reverse logistics has gained attention in the recent years due to increased waste generation, shorter product life and high returns but the study on its performance is scarce. The context of this research is to identify the reverse logistics performance metrics (RLPM), to find its relative importance and to find the causal relationship between them. The Pythagorean fuzzy decision-making trial and evaluation laboratory (PFDEMATEL) is used to build and analyse the structural model. The most important RLPM according to the result is reverse logistics network with volume flexibility. The result from cause–effect diagram shows seven RLPMs each in cause and effect groups. The importance and causal relationship of RLPM addresses a significant advance in embracing a coordinated and exhaustive way to deal with reverse logistics performance.

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Metadata
Title
Reverse Logistics Performance Metrics: An Evaluation by Pythagorean Fuzzy Decision-Making Trial and Evaluation Laboratory Method
Authors
Himanshu Prajapati
Ravi Kant
Copyright Year
2022
Publisher
Springer Nature Singapore
Book
Recent Advances in Manufacturing Modelling and Optimization

Print ISBN: 978-981-16-9951-1

Electronic ISBN: 978-981-16-9952-8

Copyright Year: 2022

DOI
https://doi.org/10.1007/978-981-16-9952-8_70

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