https://minerva-access.unimelb.edu.au/bitstream/handle/11343/118668/Multi-critea decision_24.pdf

Multi-criteria decision making approaches for supplier evaluation and selection: A literature review

Multi-Criteria Decision Aid (MCDA) or Multi-Criteria Decision Making (MCDM) methods have received much attention from researchers and practitioners in evaluating, assessing and ranking alternatives across diverse industries. Among numerous MCDA/MCDM methods developed to solve real-world decision problems, the Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) continues to work satisfactorily across different application areas. In this paper, we conduct a state-of-the-art literature survey to taxonomize the research on TOPSIS applications and methodologies. The classification scheme for this review contains 266 scholarly papers from 103 journals since the year 2000, separated into nine application areas: (1) Supply Chain Management and Logistics, (2) Design, Engineering and Manufacturing Systems, (3) Business and Marketing Management, (4) Health, Safety and Environment Management, (5) Human Resources Management, (6) Energy Management, (7) Chemical Engineering, (8) Water Resources Management and (9) Other topics. Scholarly papers in the TOPSIS discipline are further interpreted based on (1) publication year, (2) publication journal, (3) authors' nationality and (4) other methods combined or compared with TOPSIS. We end our review paper with recommendations for future research in TOPSIS decision-making that is both forward-looking and practically oriented. This paper provides useful insights into the TOPSIS method and suggests a framework for future attempts in this area for academic researchers and practitioners.

Review: A state-of the-art survey of TOPSIS applications

Supplier selection, the process of finding the right suppliers who are able to provide the buyer with the right quality products and/or services at the right price, at the right time and in the right quantities, is one of the most critical activities for establishing an effective supply chain. On the other hand, it is a hard problem since supplier selection is typically a multi criteria group decision-making problem involving several conflicting criteria on which decision maker's knowledge is usually vague and imprecise. In this study, TOPSIS method combined with intuitionistic fuzzy set is proposed to select appropriate supplier in group decision making environment. Intuitionistic fuzzy weighted averaging (IFWA) operator is utilized to aggregate individual opinions of decision makers for rating the importance of criteria and alternatives. Finally, a numerical example for supplier selection is given to illustrate application of intuitionistic fuzzy TOPSIS method.

A multi-criteria intuitionistic fuzzy group decision making for supplier selection with TOPSIS method

House of Quality

A fuzzy multi criteria approach for measuring sustainability performance of a supplier based on triple bottom line approach

A fuzzy approach for supplier evaluation and selection in supply chain management

https://ir.nctu.edu.tw:443/bitstream/11536/12444/1/000234151600008.pdf

Agility index in the supply chain

https://ir.nctu.edu.tw:443/bitstream/11536/12219/1/000235573800010.pdf

Agility evaluation using fuzzy logic

Enhancing enterprise agility by deploying agile drivers, capabilities and providers

New product development (NPD) is both a complex process and a substantial business risk. It still requires 6.6 ideas to generate a successful product. Thus, researchers claim that inferior new products should be eliminated at the front end. Limited by both the nature and the timing of NPD, managers often perform screening in uncertain environments and based on incomplete information. Furthermore, the conventional evaluation approaches, which encapsulate or merely discard the ambiguity and multiplicity of possible concerns, make a screening economically sound but dysfunctional as well. Since most assessments are described subjectively by linguistic terms, a comprehensive method for new product screening using fuzzy logic is proposed, in which the criteria ratings and their corresponding importance are assessed in linguistic terms described by fuzzy numbers, and fuzzy weighted average is employed to aggregate these fuzzy numbers into a fuzzy-possible-success rating (FPSR) of the product. Finally, the FPSR is translated back into linguistic terms to derive at a new product screening decision. Furthermore, a case study is cited to illustrate the performance within an actual decision process. The result shows that this approach can efficiently aid managers dealing with ambiguity and complex environments in achieving relatively realistic and informative results, as well as give managers a high degree of flexibility in decision-making. In addition, the variations in linguistic values and levels of linguistic variables have an effect on the ranges of the FPSR which ultimately, affect the selection of the NPD project.

Ching-Torng Lin

Papers

A fuzzy approach for supplier evaluation and selection in supply chain management

Agility index in the supply chain

Agility evaluation using fuzzy logic

Enhancing enterprise agility by deploying agile drivers, capabilities and providers

A fuzzy-logic-based approach for new product Go/NoGo decision at the front end