Comparative Study of Different MCDA-Based Approaches in Sustainable Supplier Selection Problem

One of the crucial aspects of maintaining the business continuity of a company is the process of sustainable supplier selection. If the suppliers are chosen improperly, a slow-down or even a complete suspension of the operations within a company can occur. In this paper, a new unique approach is presented in which the classical MCDA paradigm is extended with aspects of temporal evaluation. In practical terms, three popular MCDA methods are used to evaluate suppliers based on data obtained from five temporal aggregation strategies. The combination of three MCDA methods (namely AHP, TOPSIS and COMET) allows to obtain a rank-reversal-free solution with a reference model and well defined hierarchical structure of the problem. Moreover, the rankings obtained from the MCDA methods are then aggregated to provide the Decision Maker a single ranking of suppliers. The effect of each temporal aggregation strategy on the eventual selection of the winning supplier is also studied.

[1]  Jarosław Wątróbski,et al.  Multi-criteria decision support for planning and evaluation of performance of viral marketing campaigns in social networks , 2018, PloS one.

[2]  Oz Sahin,et al.  A spatial temporal decision framework for adaptation to sea level rise , 2013, Environ. Model. Softw..

[3]  Adel Guitouni,et al.  Tentative guidelines to help choosing an appropriate MCDA method , 1998, Eur. J. Oper. Res..

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

[5]  Marek Zborowski,et al.  Scoring Method Versus TOPSIS Method in the Evaluation of E-Banking Services , 2018, 2018 Federated Conference on Computer Science and Information Systems (FedCSIS).

[6]  Wojciech Sałabun,et al.  Green Supplier Selection Framework Based on Multi-Criteria Decision-Analysis Approach , 2016 .

[7]  Diyar Akay,et al.  A multi-criteria intuitionistic fuzzy group decision making for supplier selection with TOPSIS method , 2009, Expert Syst. Appl..

[8]  Chih-Hsuan Wang,et al.  Using quality function deployment to conduct vendor assessment and supplier recommendation for business-intelligence systems , 2015, Comput. Ind. Eng..

[9]  C. Carter,et al.  Sustainable supply chain management: Evolution and future directions , 2011 .

[10]  Luciana Hazin Alencar,et al.  Supplier Selection Based on the PROMETHEE VI Multicriteria Method , 2011, EMO.

[11]  Wojciech Salabun,et al.  The Temporal Supplier Evaluation Model Based on Multicriteria Decision Analysis Methods , 2017, ACIIDS.

[12]  B. Roy,et al.  The European school of MCDA: Emergence, basic features and current works , 1996 .

[13]  Keith W. Hipel,et al.  Multiple stages grey target decision making method with incomplete weight based on multi-granularity linguistic label , 2012, Inf. Sci..

[14]  Selim Zaim,et al.  An application of fuzzy Topsis method for supplier selection , 2010, International Conference on Fuzzy Systems.

[15]  Issam Banamar,et al.  An extension of PROMETHEE II to temporal evaluations , 2018 .

[16]  Kannan Govindan,et al.  Multi criteria decision making approaches for green supplier evaluation and selection: a literature review , 2015 .

[17]  F. Chan,et al.  Global supplier development considering risk factors using fuzzy extended AHP-based approach , 2007 .

[18]  Lawrence W. Lan,et al.  Selection of optimal supplier in supply chain management strategy with analytic network process and choquet integral , 2009, Comput. Ind. Eng..

[19]  S. Seuring,et al.  Sustainable supply chain management and inter-organizational resources: a literature review , 2009 .

[20]  Wojciech Sałabun,et al.  The Characteristic Objects Method: A New Distance‐based Approach to Multicriteria Decision‐making Problems , 2015 .

[21]  Hsu-Shih Shih,et al.  A hybrid MCDM model for strategic vendor selection , 2006, Math. Comput. Model..

[22]  Francisco Rodrigues Lima Junior,et al.  A comparison between Fuzzy AHP and Fuzzy TOPSIS methods to supplier selection , 2014, Appl. Soft Comput..

[23]  Artur Karczmarczyk,et al.  Generalised framework for multi-criteria method selection , 2018, Omega.

[24]  Cengiz Kahraman,et al.  Multi Criteria Supplier Selection Using Fuzzy PROMETHEE Method , 2014, Supply Chain Management Under Fuzziness.

[25]  Józef Kur,et al.  Intra-operative biopsy in chronic sinusitis detects pathogenic Escherichia coli that carry fimG/H, fyuA and agn43 genes coding biofilm formation , 2018, PloS one.

[26]  Carlo D. Smith,et al.  A Meta‐Analysis of Environmentally Sustainable Supply Chain Management Practices and Firm Performance , 2013 .

[27]  Mustafa Batuhan Ayhan,et al.  A Fuzzy AHP Approach for Supplier Selection Problem: A Case Study in a Gear Motor Company , 2013, ArXiv.

[28]  Jarosław Jankowski,et al.  An Index to Measure the Sustainable Information Society: The Polish Households Case , 2018, Sustainability.

[29]  Ching-Lai Hwang,et al.  A new approach for multiple objective decision making , 1993, Comput. Oper. Res..

[30]  K. Govindan,et al.  A fuzzy multi criteria approach for measuring sustainability performance of a supplier based on triple bottom line approach , 2013 .

[31]  Riccardo Dulmin,et al.  Supplier selection using a multi-criteria decision aid method , 2003 .

[32]  Ewa Ziemba,et al.  The ICT Adoption in Government Units in the Context of the Sustainable Information Society , 2018, 2018 Federated Conference on Computer Science and Information Systems (FedCSIS).

[33]  Gülsen Akman,et al.  Evaluating suppliers to include green supplier development programs via fuzzy c-means and VIKOR methods , 2015, Comput. Ind. Eng..

[34]  J. Thakkar,et al.  Selection of Green Suppliers Based on GSCM Practices: Using Fuzzy MCDM Approach in an Electronics Company , 2017 .

[35]  Marcus Brandenburg,et al.  Quantitative models for sustainable supply chain management: Developments and directions , 2014, Eur. J. Oper. Res..

[36]  M. Piwowarski,et al.  Application of the Vector Measure Construction Method and Technique for Order Preference by Similarity Ideal Solution for the Analysis of the Dynamics of Changes in the Poverty Levels in the European Union Countries , 2018, Sustainability.

[37]  J. Rezaei,et al.  A supplier selection life cycle approach integrating traditional and environmental criteria using the best worst method , 2016 .

[38]  Ching-Hsue Cheng,et al.  Fuzzy hierarchical TOPSIS for supplier selection , 2009, Appl. Soft Comput..

[39]  Artur Karczmarczyk,et al.  MCDA-Based Approach to Sustainable Supplier Selection , 2018, 2018 Federated Conference on Computer Science and Information Systems (FedCSIS).

[40]  Selin Soner Kara,et al.  Long term supplier selection using a combined fuzzy MCDM approach: A case study for a telecommunication company , 2009, Expert Syst. Appl..

[41]  L. V. D. Wegen,et al.  Outranking methods in support of supplier selection , 1998 .

[42]  Gülçin Büyüközkan,et al.  Selection of the strategic alliance partner in logistics value chain , 2008 .

[43]  Joseph Sarkis,et al.  Strategic analysis of logistics and supply chain management systems using the analytical network process , 1998 .

[44]  Thomas L. Saaty,et al.  DECISION MAKING WITH THE ANALYTIC HIERARCHY PROCESS , 2008 .

[45]  Ioannis Ioannou,et al.  The Impact of Corporate Sustainability on Organizational Processes and Performance , 2012, Manag. Sci..

[46]  Stefan Seuring,et al.  From a literature review to a conceptual framework for sustainable supply chain management , 2008 .

[47]  Huan Neng Chiu,et al.  Vendor selection by integrated fuzzy MCDM techniques with independent and interdependent relationships , 2008, Inf. Sci..

[48]  H. Abdul Zubar,et al.  Hybrid MCDM approach for vendor ranking , 2013 .

[49]  Johan Springael,et al.  PROMETHEE and AHP: The design of operational synergies in multicriteria analysis.: Strengthening PROMETHEE with ideas of AHP , 2004, Eur. J. Oper. Res..