COMPARISON OF THREE FUZZY MCDM METHODS FOR SOLVING THE SUPPLIER SELECTION PROBLEM

The evaluation and selection of an optimal, efficient and reliable supplier is becoming more and more important for companies in today’s logistics and supply chain management. Decision-making in the supplier selection domain, as an essential component of the supply chain management, is a complex process since a wide range of diverse criteria, stakeholders and possible solutions are embedded into this process. This paper shows a fuzzy approach in multi – criteria decision-making (MCDM) process. Criteria weights have been determined by fuzzy SWARA (Step-wise Weight Assessment Ratio Analysis) method. Chosen methods, fuzzy TOPSIS (Technique for the Order Preference by Similarity to Ideal Solution), fuzzy WASPAS (Weighted Aggregated Sum Product Assessment) and fuzzy ARAS (Additive Ratio Assessment) have been used for evaluation and selection of suppliers in the case of procurement of THK Linear motion guide components by the group of specialists in the “Lagerton” company in Serbia. Finally, results obtained using different MCDM approaches were compared in order to help managers to identify appropriate method for supplier selection problem solving.

[1]  Robert LIN,et al.  NOTE ON FUZZY SETS , 2014 .

[2]  Miloš Madić,et al.  A STUDY OF MULTI CRITERIA DECISION MAKING FOR SELECTING SUPPLIERS OF LINEAR MOTION GUIDE , 2018 .

[3]  Chandra Prakash Garg,et al.  An integrated framework for sustainable supplier selection and evaluation in supply chains , 2017 .

[4]  Edmundas Kazimieras Zavadskas,et al.  A new additive ratio assessment (ARAS) method in multicriteria decision‐making , 2010 .

[5]  Joseph Sarkis,et al.  Integrating sustainability into supplier selection with grey system and rough set methodologies , 2010 .

[6]  E. Zavadskas,et al.  Optimization of Weighted Aggregated Sum Product Assessment , 2012 .

[7]  Dragisa Stanujkic,et al.  An extension of the WASPAS method for decision-making problems with intuitionistic fuzzy numbers: a case of website evaluation , 2019 .

[8]  Hadi Ghaderi,et al.  Sustainable third-party reverse logistics provider evaluation and selection using fuzzy SWARA and developed fuzzy COPRAS in the presence of risk criteria , 2018, Appl. Soft Comput..

[9]  Anjali Awasthi,et al.  A fuzzy multicriteria approach for evaluating environmental performance of suppliers , 2010 .

[10]  Edmundas Kazimieras Zavadskas,et al.  A Novel Method for Multiple Criteria Analysis: Grey Additive Ratio Assessment (ARAS-G) Method , 2010, Informatica.

[11]  Slavko Vesković,et al.  A rough multicriteria approach for evaluation of the supplier criteria in automotive industry , 2018 .

[12]  Chen-Tung Chen,et al.  A fuzzy approach for supplier evaluation and selection in supply chain management , 2006 .

[13]  Narges Banaeian,et al.  Green supplier selection using fuzzy group decision making methods: A case study from the agri-food industry , 2018, Comput. Oper. Res..

[14]  Saurabh Kumar,et al.  Supplier selection using fuzzy TOPSIS multi criteria model for a small scale steel manufacturing unit , 2018 .

[15]  E. Ertugrul Karsak,et al.  An integrated fuzzy MCDM approach for supplier evaluation and selection , 2015, Comput. Ind. Eng..

[16]  Ilija Tanackov,et al.  EVALUATION OF SUPPLIERS UNDER UNCERTAINTY: A MULTIPHASE APPROACH BASED ON FUZZY AHP AND FUZZY EDAS , 2019, Transport.

[17]  E. Zavadskas,et al.  A new fuzzy additive ratio assessment method (ARAS‐F). Case study: The analysis of fuzzy multiple criteria in order to select the logistic centers location , 2010 .

[18]  Frank Schultmann,et al.  Sustainable supplier management – a review of models supporting sustainable supplier selection, monitoring and development , 2016 .

[19]  Chien-Chang Chou,et al.  An Evaluation Model of Quantitative and Qualitative Fuzzy Multi-Criteria Decision-Making Approach for Location Selection of Transshipment Ports , 2013 .

[20]  Siba Sankar Mahapatra,et al.  Sustainable supplier selection in intuitionistic fuzzy environment: a decision-making perspective , 2018 .

[21]  W. Pedrycz,et al.  A fuzzy extension of Saaty's priority theory , 1983 .

[22]  Lakshman S. Thakur,et al.  Supplier selection using fuzzy AHP and fuzzy multi-objective linear programming for developing low carbon supply chain , 2012, Expert Syst. Appl..

[23]  Jurgita Antucheviciene,et al.  Extension of weighted aggregated sum product assessment with interval-valued intuitionistic fuzzy numbers (WASPAS-IVIF) , 2014, Appl. Soft Comput..

[24]  Jurgita Antucheviciene,et al.  An approach for robust decision making rule generation: Solving transport and logistics decision making problems , 2018, Expert Syst. Appl..

[25]  Gülçin Büyüközkan,et al.  An extension of ARAS methodology under Interval Valued Intuitionistic Fuzzy environment for Digital Supply Chain , 2018, Appl. Soft Comput..

[26]  L. D. Boer,et al.  A review of methods supporting supplier selection , 2001 .

[27]  Jurgita Antucheviciene,et al.  A Hybrid Model Based on Fuzzy AHP and Fuzzy WASPAS for Construction Site Selection , 2015, Int. J. Comput. Commun. Control.

[28]  Miss. Neelima B. Kore,et al.  “A Simplified Description of FUZZY TOPSIS Method for Multi Criteria Decision Making” , 2017 .

[29]  M. Goh,et al.  Sustainable third-party reverse logistic provider selection with fuzzy SWARA and fuzzy MOORA in plastic industry , 2017 .

[30]  Edmundas Kazimieras Zavadskas,et al.  Selection of rational dispute resolution method by applying new step‐wise weight assessment ratio analysis (Swara) , 2010 .

[31]  Prasenjit Chatterjee,et al.  A two-phase fuzzy AHP - fuzzy TOPSIS model for supplier evaluation in manufacturing environment , 2019 .

[32]  Jurgita Antucheviciene,et al.  Selecting a Contractor by Using a Novel Method forMultiple Attribute Analysis: Weighted Aggregated SumProduct Assessment with Grey Values (WASPAS-G) , 2015 .

[33]  Gary W. Dickson,et al.  AN ANALYSIS OF VENDOR SELECTION SYSTEMS AND DECISIONS , 1966 .

[34]  Sanjin Milinković,et al.  Evaluation of the railway management model by using a new integrated model DELPHI-SWARA-MABAC , 2018, Decision Making: Applications in Management and Engineering.

[35]  Y J Wang,et al.  FUZZY TOPSIS FOR MULTI-CRITERIA DECISION MAKING , 2003 .

[36]  M. Madić,et al.  APPLICATION OF THE ORESTE METHOD FOR SOLVING DECISION MAKING PROBLEMS IN TRANSPORTATION AND LOGISTICS , 2016 .

[37]  Mohammad Reza Akbari Jokar,et al.  Sustainable supplier selection: A multi-criteria intuitionistic fuzzy TOPSIS method , 2019, Journal of Manufacturing Systems.