A Preference Ranking Method Based on Triangular Fuzzy Numbers for Green Supplier Selection
DOI:
https://doi.org/10.26713/jims.v12i1.913Keywords:
Fuzzy number, Decision making, Green supplier selection, Preference function, PROMETHEEAbstract
Green supplier selection is a process for establishing an effective supplier that fulfills environmental criteria in addition to economical criteria. However, the selection is not a straightforward process as it needs to consider multiple criteria with uncertain information. In order to overcome the uncertainty, we utilize a decision making method based on triangular fuzzy numbers in solving green supplier selection problems. Specifically, this paper aims to develop a preference of alternatives in the case of green supplier selection using fuzzy PROMETHEE method. Seven criteria, four alternatives and five decision makers were the main enterprises in this fuzzy decision making problem framework. Data was collected via personal communication with decision makers using five-point linguistic terms of triangular fuzzy numbers. The seven-step algorithm of fuzzy PROMETHEE with usual preference function and triangular fuzzy numbers was implemented to the case. The results of net flow values of alternatives indicate that supplier A1 is preferred over the other suppliers. More investigations about the fuzzy PROMETHEE method, particularly on the choice of preference functions and other applications are suggested in future research.
Downloads
References
L. Abdullah, Fuzzy multi criteria decision making and its applications: a brief review of category, Procedia – Social and Behavioral Sciences 97 (2013), 131 – 136, DOI: 10.1016/j.sbspro.2013.10.213.
L. Abdullah and A. Otheman, A decision making based on type-2 fuzzy sets for supplier selection, Journal of Computational Mathematics and Informatics 9(1) (2017), 45 – 56, DOI: 10.26713/jims.v9i1.413.
O. Bali, E. Kose and S. Gumus, Green supplier selection based on IFS and GRA, Journal of Information& Knowledge Management 3(2) (2013), 158 – 176, DOI: 10.1108/GS-04-2013-0007.
N. Banaeian, H. Mobli, B. Fahimnia, I. E. Nielsen and M. Omid, Green supplier selection using fuzzy group decision making methods: A case study from the agri-food industry, Computer and Operation Research 89 (2018), 337 – 347, DOI: 10.1016/j.cor.2016.02.015.
J. P. Brans and B. Mareschal, PROMETHEE V: MCDM problems with segmentation constraints, Journal of Information System & Operation Research 30(2) (1992), 85 – 96, DOI: 10.1080/03155986.1992.11732186.
J. P. Brans and B. Mareschal, Multiple criteria decision analysis: state of the art surveys-PROMETHEE methods, International Series in Operational Research and Management Science 78(5) (2005), 163 – 195, DOI: 10.1007/0-387-23081-5_5.
J. P. Brans and P. Vincle, A preference ranking organization method, Management Science 31(6) (1985), 647–656, https://www.jstor.org/stable/2631441.
Y. H. Chen, T. C. Wang and C. Y. Wu, Strategic decisions using the fuzzy PROMETHEE for IS outsourcing, Expert System and Applications 38(10) (2011), 13216 – 13222, DOI: 10.1016/j.eswa.2011.04.137.
B. Elevli, Logistics freight centre locations decision by using fuzzy PROMETHEE, Journal of Transport 29(4) (2014), 412 – 418, DOI: 10.1016/j.eswa.2011.04.137.
M. R. Galankashi, A. Chegeni, A. Soleimanynanadegany, M. Ashkan, A. Anjomshoae, S. A. Helmi and A. Dargi, Prioritizing green supplier selection criteria using fuzzy analytical network process, Procedia CIRP 26(1) (2015), 689 – 694, DOI: 10.1016/j.procir.2014.07.044.
R. Gupta, A. Sachdeva and A. Bhardwaj, Selection of logistic service provider using fuzzy PROMETHEE for a cement industry, Journal of Manufacturing Technology and Management 23(7) (2012), 899 – 921, DOI: 10.1108/17410381211267727.
P. S. Jatinder and N. I. Thakur, A novel method to solve assignment problem in fuzzy environment, Industrial Engineering Letters 5(2) (2015), 31 – 35, https://www.iiste.org/Journals/index.php/IEL/article/view/19671/20168.
E. Karsak and M. Dursun, An integrated fuzzy MCDM approach for supplier evaluation and selection, Computer & Industrial Engineering 82 (2015), 82 – 93, DOI: 10.1016/j.cie.2015.01.019.
A. H. I. Lee, H. Y. Kang, C. F. Hsu and H. C. Hung, A green supplier selection model for high-tech industry, Expert System with Applications 36(4) (2009), 7917 – 7927, DOI: 10.1016/j.eswa.2008.11.052.
S. Murat, H. Kazan and S. S. Coskun, An application for measuring performance quality of schools by using the PROMETHEE multi criteria decision making method, Procedia-Social and Behavioural Sciences 195(1) (2015), 729 – 738, DOI: 10.1016/j.sbspro.2015.06.344.
E. U. Olugu, K. Y. Wong and A. M. Shaharoun, Development of key performance measures for the automobile green supply chain, Journal of Resources, Conservation and Recycling 55(6) (2011), 567 – 579, DOI: 10.1016/j.resconrec.2010.06.003.
T. Sawik, Supplier selection in make to order environment with risks, Journal of Mathematical and Computer Modelling 53(9) (2011), 1670 – 1679, DOI: 10.1016/j.mcm.2010.12.039.
O. Senvar, G. Tuzkaya and C. Kahraman, Multi Criteria Supplier Selection Using Fuzzy PROMETHEE Method, in Supply Chain Management Under Fuzziness, C. Kahraman and B. í–ztay¸si (eds.), Studies in Fuzziness and Soft Computing, 313 (2014) Springer, Berlin, Heidelberg, DOI: 10.1007/978-3-642-53939-8_2.
A. Shahmardan and M. H. Zadeh, New integrated approach for solving a supplier selection problem in a competitive environment, Engineering Economics 25(3) (2014), 310, DOI: 10.5755/j01.ee.25.3.5092.
G. Tuzkaya, B. Gülsün, C. Kahraman and D. í–zgen, An integrated fuzzy multi-criteria decision making methodology for material handling equipment selection problem and an application, Expert System and Applications 37(4) (2010), 2853 – 2863, DOI: 10.1016/j.eswa.2009.09.004.
F. Ulengin, Y. Topcu and S. O. Sahin, An integrated decision aid system for Bosporous watercrossing problem, European Journal Operational Research 134(1) (2001), 179 – 192, DOI: 10.1016/S0377-2217(00)00247-2.
B. Yilmaz and M. Dagdeviren, A combined approach for equipment selection: F-PROMETHEE and zero one goal programming, Expert Systems with Applications 38(9) (2011), 1641 – 11650, DOI: 10.1016/j.eswa.2011.03.043.
K. K. F. Yuen and T. O. Ting, Textbook selection using Fuzzy PROMETHEE II method, International Journal of Future Computer and Communication 1(1) (2012), 76 – 78, DOI: 10.7763/IJFCC.2012.V1.20.
L. A. Zadeh, Fuzzy sets, Information and Control 8(3) (1965), 338 – 353, DOI: 10.1016/S0019-9958(65)90241-X.
Downloads
Published
How to Cite
Issue
Section
License
Authors who publish with this journal agree to the following terms:- Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a CCAL that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal.
- Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this journal.
- Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work.
