Generic placeholder image

Current Chinese Science

Editor-in-Chief

ISSN (Print): 2210-2981
ISSN (Online): 2210-2914

Research Article Section: Computer Science

Selection of Sustainable Suppliers Using the Fuzzy MARCOS Method

Author(s): Adis Puška, Željko Stević* and Ilija Stojanović

Volume 1, Issue 2, 2021

Published on: 09 November, 2020

Page: [218 - 229] Pages: 12

DOI: 10.2174/2210298101999201109214028

Open Access Journals Promotions 2
Abstract

Background: Selection of Sustainable Suppliers is a key term in sustainable supply chain management. This is the reason to choose the supplier who will support the company to implement sustainability in its business, especially in the supply chain.

Objective: The aim of this paper is to establish a new innovative model for decision-making based on a fuzzy approach.

Methods: This decision-making problem is solved by applying multi-criteria decision-making since there are several criteria according to which a decision should be made: economic, social, and environmental. In order to make the final decision on the supply chain better and safer, the social criteria were modified in this paper, adding ethical criteria. The example with modified social criteria in this paper was shown on the example of the company "Voćar" Brčko, which deals with the production of food products. In this paper, the fuzzy Measurement Alternatives and Ranking, according to the Compromise Solution Method, was used.

Results: The findings have shown that supplier A1 has the best results, which were confirmed with the first sensitivity analysis. However, the second sensitivity analysis has shown that supplier A5 was better than supplier A1 in 14 scenarios. Due to these findings, no unanimous decision can be made about which supplier among the two, in this case, would contribute more.

Conclusion: This paper has shown that the selection of sustainable suppliers is crucial for any company focused on the principles of sustainability in business. Moreover, this paper has shown that it is sometimes very difficult to select just one supplier.

Keywords: Sustainable supply chain, supplier selection, fuzzy logic, fuzzy MARCOS method, MCDM, food sector.

Graphical Abstract
[1]
Vanalle, R.M.; Ganga, G.M.D.; Filho, M.G.; Lucato, W.C. Green supply chain management: An investigation of pressures, practices, and performance within the Brazilian automotive supply chain. J. Clean. Prod., 2017, 151, 250-259.
[http://dx.doi.org/10.1016/j.jclepro.2017.03.066]
[2]
Rasul, G. Managing the food, water, and energy nexus for achieving the sustainable development goals in South Asia. Environ. Dev., 2016, 18, 14-25.
[http://dx.doi.org/10.1016/j.envdev.2015.12.001]
[3]
Stević, Ž.; Vasiljević, M.; Puška, A.; Tanackov, I.; Junevičius, R.; Vesković, S. Evaluation of suppliers under uncertainty: a multiphase approach based on fuzzy AHP and fuzzy EDAS. Transport, 2019, 34(1), 52-66.
[http://dx.doi.org/10.3846/transport.2019.7275]
[4]
Puška, A.; Kozarević, S.; Stević, Ž.; Stovrag, J.A. New way of applying interval fuzzy logic in group decision making for supplier selection. Econ. Comput. Econ. Cybern. Stud. Res., 2018, 52(2), 217-234.
[5]
Stević, Ž.; Pamučar, D.; Puška, A.; Chatterjee, P. Sustainable supplier selection in healthcare industries using a new MCDM method: Measurement Alternatives and Ranking according to COmpromise Solution (MARCOS). Comput. Ind. Eng., 2020.140106231
[http://dx.doi.org/10.1016/j.cie.2019.106231]
[6]
Sen, D.K.; Datta, S.; Mahapatra, S.S. Sustainable supplier selection in in-tuitionistic fuzzy environment: A decision-making perspective. Benchmarking (Bradf.), 2018, 25(2), 545-574.
[http://dx.doi.org/10.1108/BIJ-11-2016-0172]
[7]
Puška, A.; Kozarević, S.; Okičić, J. Investigating and analyzing the supply chain practices and performance in agro-food industry. Int. J. Manag. Sci. Engineer. Manag., 2020, 15(1), 9-16.
[http://dx.doi.org/10.1080/17509653.2019.1582367]
[8]
Amindoust, A.; Ahmed, S.; Saghafinia, A.; Bahreininejad, A. Sustainable supplier selection: A ranking model based on fuzzy inference system. Appl. Soft Comput., 2012, 12(6), 1668-1677.
[http://dx.doi.org/10.1016/j.asoc.2012.01.023]
[9]
Ghayebloo, S.; Tarokh, M.J.; Venkatadri, U.; Diallo, C. Developing a bi-objective model of the closed-loop supply chain network with green supplier selection and disassembly of products: The impact of parts reliability and product greenness on the recovery network. J. Manuf. Syst., 2015, 36, 76-86.
[http://dx.doi.org/10.1016/j.jmsy.2015.02.011]
[10]
Memari, A.; Dargi, A.; Jokar, M.R.A.; Ahmad, R.; Abdul Rahim, A.R. Sustainable supplier selection: A multi-criteria intuitionistic fuzzy TOPSIS method. J. Manuf. Syst., 2019, 50, 9-24.
[http://dx.doi.org/10.1016/j.jmsy.2018.11.002]
[11]
Tabatabaee, S.; Mahdiyar, A.; Durdyev, S.; Mohandes, S.R.; Ismail, S. An assessment model of benefits, opportunities, costs, and risks of green roof installation: A multi criteria decision making approach. J. Clean. Prod., 2019.238117956
[http://dx.doi.org/10.1016/j.jclepro.2019.117956]
[12]
Mahdiyar, A.; Tabatabaee, S.; Durdyev, S.; Ismail, S.; Abdullah, A.; Rani, W.N.M.W.M. A prototype decisión support system for green roof type selection: A cybernetic fuzzy ANP method. Sustainable Cities Soc., 2019, 48101532
[http://dx.doi.org/10.1016/j.scs.2019.101532]
[13]
Shalke, P.N.; Paydar, M.M.; Hajiaghaei-Keshteli, M. Sustainable supplier selection and order allocation through quantity discounts. Int. J. Manag. Sci. Engineer. Manag., 2018, 13(1), 20-32.
[http://dx.doi.org/10.1080/17509653.2016.1269246]
[14]
Orji, I.; Wei, S. A decision support tool for sustainable supplier selection in manufacturing firms. J. Ind. Eng. Manag., 2014, 7(5), 1293-1315.
[http://dx.doi.org/10.3926/jiem.1203]
[15]
Durmić, E.; Stević, Ž.; Chatterjee, P.; Vasiljević, M.; Tomašević, M. Sustainable supplier selection using combined FUCOM - rough SAW model. Rep. Mech. Engineer., 2020, 1(1), 34-43.
[http://dx.doi.org/10.31181/rme200101034c]
[16]
Roy, S.A.; Ali, S.M.; Kabir, G.; Enayet, R.; Suhi, S.A.; Haque, T.; Hasan, R. A framework for sustainable supplier selection with transportation criteria. Int. J. Sustain. Eng., 2020, 13(2), 77-92.
[http://dx.doi.org/10.1080/19397038.2019.1625983]
[17]
Awasthi, A.; Govindan, K.; Gold, S. Multi-tier sustainable global supplier selection using a fuzzy AHP-VIKOR based approach. Int. J. Prod. Econ., 2018, 195, 106-117.
[http://dx.doi.org/10.1016/j.ijpe.2017.10.013]
[18]
Chaharsooghi, S.K.; Ashrafi, M. Sustainable supplier performance evaluation and selection with neofuzzy TOPSIS method. Int. Sch. Res. Notices, 2014, 2014434168
[http://dx.doi.org/10.1155/2014/434168] [PMID: 27379267]
[19]
Zhou, X.; Xu, Z. An integrated sustainable supplier selection approach based on hybrid information aggregation. Sustainability, 2018, 10(7), 2543.
[http://dx.doi.org/10.3390/su10072543]
[20]
Xu, Z.; Qin, J.; Liu, J.; Martínez, L. Sustainable supplier selection based on AHPSort II in interval type-2 fuzzy environment. Inf. Sci., 2019, 483, 273-293.
[http://dx.doi.org/10.1016/j.ins.2019.01.013]
[21]
Abdel-Baset, M.; Chang, V.; Gamal, A.; Smarandache, F. An integrated neutrosophic ANP and VIKOR method for achieving sustainable supplier selection: A case study in importing field. Comput. Ind., 2019, 106, 94-110.
[http://dx.doi.org/10.1016/j.compind.2018.12.017]
[22]
Moheb-Alizadeh, H.; Handfield, R. Sustainable Supplier Selection and Order Allocation: A novel multi-objective programming model with a hybrid solution approach. Comput. Ind. Eng., 2019, 129, 192-209.
[http://dx.doi.org/10.1016/j.cie.2019.01.011]
[23]
Liu, A.; Xiao, Y.; Lu, H.; Tsai, S-B.; Song, W. A fuzzy three-stage multi-attribute decision-making approach based on customer needs for sustainable supplier selection. J. Clean. Prod., 2019.239118043
[http://dx.doi.org/10.1016/j.jclepro.2019.118043]
[24]
Li, J.; Fang, H.; Song, W. Sustainable supplier selection based on SSCM practices: A rough cloud TOPSIS approach. J. Clean. Prod., 2019, 222, 606-621.
[http://dx.doi.org/10.1016/j.jclepro.2019.03.070]
[25]
Stević, Ž.; Brković, N.A. Novel integrated FUCOM-MARCOS model for evaluation of human resources in a transport company. Logistics, 2020, 4(1), 4.
[http://dx.doi.org/10.3390/logistics4010004]
[26]
Ecer, F.; Pamucar, D. Sustainable supplier selection: A novel integrated fuzzy best worst method (F-BWM) and fuzzy CoCoSo with Bonferroni (CoCoSo’B) multi-criteria model. J. Clean. Prod., 2020.266121981
[http://dx.doi.org/10.1016/j.jclepro.2020.121981]
[27]
Zadeh, L.A. Fuzzy sets. Inf. Control, 1965, 8(3), 338-353.
[http://dx.doi.org/10.1016/S0019-9958(65)90241-X]
[28]
Božanić, D.I.; Pamučar, D.S. Evaluating locations for river crossing using fuzzy logic.Vojnotehnički glasnik, 2010, 58(1), 129-145.,
[29]
Pamučar, D.S. Fuzzy-DEA model for measuring the efficiency of transport quality. Vojnotehnički glasnik, 2011, 59(4), 40-61.,
[30]
Vesković, S.; Milinković, S.; Abramović, B.; Ljubaj, I. Determining criteria significance in selecting reach stackers by applying the fuzzy PIPRECIA method. Oper. Res. Engineer. Sci.: Theory Appl., 2020, 3(1), 72-88.
[http://dx.doi.org/10.31181/oresta2001072v]
[31]
Stanković, M.; Stević, Ž.; Das, D.K.; Subotić, M.; Pamučar, D.A. New fuzzy MARCOS method for road traffic risk analysis. Mathematics, 2020, 8, 457.
[http://dx.doi.org/10.3390/math8030457]
[32]
Puška, A.; Stojanović, I.; Maksimović, A.; Osmanović, N. Evaluation software of project management used measurement of alternatives and ranking according to compromise solution (MARCOS) method. Operational Research in Engineering Sciences: Theory and Applications, 2020, 3(1), 89-102.
[33]
Petrović, G.; Mihajlović, J.; Cojbasic, Ž.; Madić, M.; Marinković, D. Comparison of three fuzzy MCDM methods for solving the supplier selection problem.” Facta Universitatis, Series. Mechanical Engineering, 2019, 17(3), 455-469.

© 2024 Bentham Science Publishers | Privacy Policy