Abstract

The PROMETHEE is a significant method for evaluating alternatives with respect to criteria in multi-criteria decision-making problems. It is characterized by many types of preference functions that are used for assigning the differences between alternatives in judgements. This paper proposes a preference of green suppliers using the PROMETHEE under the usual criterion preference functions. Comparable results are presented to check the effect of different preference functions on the final preference. Seven economical and environmental criteria, four suppliers and five decision makers were the main structures in the green supplier selection problem. Data were collected via personal communication with decision makers using five-point Likert scale. The algorithm of PROMETHEE under usual criterion function was implemented, and the results show that supplier A1 is the most preferred alternative. Comparative results also show that supplier A1 is the most preferred alternative despite the difference in preference functions used.

Highlights

  • This paper proposes a preference of green suppliers using the PROMETHEE under the usual criterion preference functions

  • Multi-criteria decision-making (MCDM) method is referred as a method used for scoring or ranking a finite number of alternatives by considering multiple criteria attached to the alternatives

  • To bridge the literature gap between PROMETHEE and other MCDM methods, this paper proposes an application of PROMETHEE to the case of green supplier selection problem

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Summary

Introduction

Multi-criteria decision-making (MCDM) method is referred as a method used for scoring or ranking a finite number of alternatives by considering multiple criteria attached to the alternatives. MCDM concerns with evaluating and selecting alternatives that fit with the goals and necessity. There are many MCDM methods available in the literature whereby PROMETHEE is one of the MCDM methods. The PROMETHEE is the abbreviation of preference ranking organization method for enrichment evaluation. It is a ranking method which is considered as simple in Management Science Research Group, School of Informatics and Applied Mathematics, Universiti Malaysia Terengganu, Kuala Terengganu, Malaysia These two methods were developed by Brans et al (1984, 1986)

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