https://findresearcher.sdu.dk:8443/ws/files/116118561/reverse_logistics.pdf

Reverse logistics and closed-loop supply chain: A comprehensive review to explore the future

Green supply chain management: A review and bibliometric analysis

The Best Worst Method (BWM) is a multi-criteria decision-making method that uses two vectors of pairwise comparisons to determine the weights of criteria. First, the best (e.g. most desirable, most important), and the worst (e.g. least desirable, least important) criteria are identified by the decision-maker, after which the best criterion is compared to the other criteria, and the other criteria to the worst criterion. A non-linear minmax model is then used to identify the weights such that the maximum absolute difference between the weight ratios and their corresponding comparisons is minimized. The minmax model may result in multiple optimal solutions. Although, in some cases, decision-makers prefer to have multiple optimal solutions, in other cases they prefer to have a unique solution. The aim of this paper is twofold: firstly, we propose using interval analysis for the case of multiple optimal solutions, in which we show how the criteria can be weighed and ranked. Secondly, we propose a linear model for BWM, which is based on the same philosophy, but yields a unique solution.

Best-worst multi-criteria decision-making method: Some properties and a linear model

Integrated fuzzy multi criteria decision making method and multi-objective programming approach for supplier selection and order allocation in a green supply chain

An integrated framework for sustainable supplier selection and evaluation in supply chains

Multi criteria decision making approaches for green supplier evaluation and selection: a literature review

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 ...

P. Murugesan

Papers

Multi criteria decision making approaches for green supplier evaluation and selection: a literature review

Selection of third party reverse logistics provider using Fuzzy extent analysis