Selection of third‐party reverse logistics provider using fuzzy extent analysis

Kannan Govindan · Murugesan Palaniappan

88 citations0/0 files storedBenchmarking An International Journal

No readable copy stored yet — this record is metadata only.

No open-access location is known for this record yet.

Literature note Cite in a project Citation map

Multi-Criteria Decision Making Sustainable Supply Chain Management Collaboration in agile enterprises

Abstract

Purpose The purpose of this paper is to propose a structured model for the selection of a third‐party reverse logistics provider (3PRLP) under fuzzy environment for the battery industry, which establishes the relative weights for attributes and sub‐attributes. Design/methodology/approach This paper uses fuzzy extent analysis to solve the 3PRLP selection problem. Findings Owing to growing environmental legislations, reverse logistics (RL) has attained more importance among practitioners and academicians. The important decision related to RL is whether the company should maintain the separate RL system or whether it can be outsourced. RL takes 12 times as many steps to process returns as it does to manage outbound logistics (Accenture supply chain management practice), consequently many companies decided to outsource the RL activities or functions through 3PRLPs. The paper proposes a way of selecting the best 3PRLP using fuzzy extent analysis. Research limitations/implications Fuzzy extent analysis is a highly multi‐faceted methodology which requires more numerical calculations and increases the time to take a decision. A limitation of this work is that in this study only fuzzy extent analysis has been concentrated on and other multi‐criteria decision‐making methods such as VIKOR, TOPSIS and ELECTRE can be applied in a fuzzy environment for solving such problems. Originality/value In this research, seven attributes and 34 sub‐attributes are considered and the interpretation of RL attributes in terms of their pair‐wise comparisons has been carried out. Those attributes possessing lower priorities in the fuzzy extent analysis need to be taken care of on a selection of the best 3PRLP.

Paper brief

Loading…

Cite this work

Citation unavailable for this work.

BibTeX RIS CSL-JSON

No public copy is stored for this record, so only the metadata is cited.

Citations in this library

Citation map →

Stored only when both papers are in the corpus — 88 citations exist upstream.

References

1990How to make a decision: The analytic hierarchy process 1980The analytic hierarchy process : planning, priority setting, resource allocation 1996Applications of the extent analysis method on fuzzy AHP 1994Characteristics of partnership success: Partnership attributes, communication behavior, and conflict resolution techniques 1994How to Make a Decision: The Analytic Hierarchy Process 2001Performance measures and metrics in a supply chain environment 1986The Analytic Hierarchy Process—A Survey of the Method and its Applications 2004The effects of customer satisfaction and switching barrier on customer loyalty in Korean mobile telecommunication services

Cited by

2016Design and planning of a closed-loop supply chain with three way recovery and buy-back offer 2013An analytic network process-based multicriteria decision making model for a reverse supply chain 2017Analysis and prioritisation of risks in a reverse logistics network using hybrid multi-criteria decision making methods 2013To develop a third-party reverse logistics network for end-of-life vehicles in Iran

Explore the map →

Papers that cite the same references — the relational fallback while embeddings are still backfilling.

Imported from OpenAlex (CC0) — nothing here is generated.