A novel integrated fuzzy PIPRECIA – interval rough SAW model: green supplier selection

  • Irena Đalić University of East Srajevo, Faculty of Transport and Traffic Engineering Doboj
  • Željko Stević University of East Sarajevo, Faculty of Transport and Traffic Engineering, Doboj, B&H
  • Caglar Karamasa Anadolu University, Faculty of Business Administration, Turkey
  • Adis Puška Institute for Scientific Research and Development, Brčko district
Keywords: Fuzzy PIPRECIA, Interval Rough SAW method, supplier selection, environment.

Abstract

In this paper is presented a novel integrated fuzzy – rough Multi-Criteria Decision-Making (MCDM) model based on integration fuzzy and interval rough set theory. Model integrates Fuzzy PIvot Pairwise RElative Criteria Importance Assessment - fuzzy PIPRECIA and Interval rough Simple Additive Weighting (SAW) methods. An illustrative example for demonstration of the model is proposed that represents evaluation and supplier selection based on nine environmental criteria. Fuzzy PIPRECIA method is used for determining the significance of the following seven criteria: C1 - environmental image, C2 - recycling, C3 - pollution control, C4 - environmental management system, C5 – environmentally friendly products, C6 - resource consumption and C7 - green competencies. Iterval rough SAW method is applied for evaluation four alternatives. Results show that third criterion is most important while fourth alternative represents the best solution.

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References

Banaeian, N., Mobli, H., Fahimnia, B., Nielsen, I. E., & Omid, M. (2018). Green supplier selection using fuzzy group decision making methods: A case study from the agri-food industry. Computers & Operations Research, 89, 337-347.

Büyüközkan, G., & Çifçi, G. (2012). A novel hybrid MCDM approach based on fuzzy DEMATEL, fuzzy ANP and fuzzy TOPSIS to evaluate green suppliers. Expert Systems with Applications, 39(3), 3000-3011.

Chen, W., Mei, H., Chou, S. Y., Luu, Q. D., & Yu, T. H. K. (2016). A fuzzy MCDM approach for green supplier selection from the economic and environmental aspects. Mathematical Problems in Engineering, 2016.

Duntsch, I.; Gediga, G. The rough set engine GROBIAN. In Proceedings of the 15th IMACS World Congress, Berlin, Germany, 24–29 August 1997; pp. 613–618.

Erceg, Ž., Starčević, V., Pamučar, D., Mitrović, G., Stević, Ž., & Žikić, S. (2019). A New Model for Stock Management in Order to Rationalize Costs: ABC-FUCOM-Interval Rough CoCoSo Model. Symmetry, 11(12), 1527.

Keršuliene, V.; Zavadskas, E.K.; Turskis, Z. Selection of rational dispute resolution method by applying new step-wise weight assessment ratio analysis (SWARA). J. Bus. Econ. 2010, 11, 243–258.

Qin, J., Liu, X., & Pedrycz, W. (2017). An extended TODIM multi-criteria group decision making method for green supplier selection in interval type-2 fuzzy environment. European Journal of Operational Research, 258(2), 626-638.

Stanujkic, D., Zavadskas, E. K., Karabasevic, D., Smarandache, F., & Turskis, Z. (2017). The use of the pivot pairwise relative criteria importance assessment method for determining the weights of criteria. Infinite Study.

Stević, Ž., Durmić, E., Gajić, M., Pamučar, D., & Puška, A. (2019). A Novel Multi-Criteria Decision-Making Model: Interval Rough SAW Method for Sustainable Supplier Selection. Information, 10(10), 292.

Stević, Ž., Pamučar, D., Puška, A., & Chatterjee, P. (2020). Sustainable supplier selection in healthcare industries using a new MCDM method: Measurement of alternatives and ranking according to COmpromise solution (MARCOS). Computers & Industrial Engineering, 140, 106231.

Stević, Ž., Stjepanović, Ž., Božičković, Z., Das, D., & Stanujkić, D. (2018). Assessment of Conditions for Implementing Information Technology in a Warehouse System: A Novel Fuzzy PIPRECIA Method. Symmetry, 10(11), 586.

Stević, Ž.; Pamučar, D.; Kazimieras Zavadskas, E.; Ćirović, G.; Prentkovskis, O. The selection of wagons for the internal transport of a logistics company: A novel approach based on rough BWM and rough SAW methods. Symmetry 2017, 9, 264.

Tsui, C. W., Tzeng, G. H., & Wen, U. P. (2015). A hybrid MCDM approach for improving the performance of green suppliers in the TFT-LCD industry. International Journal of Production Research, 53(21), 6436-6454.

Uppala, A. K., Ranka, R., Thakkar, J. J., Kumar, M. V., & Agrawal, S. (2017). Selection of green suppliers based on GSCM practices: using fuzzy MCDM approach in an electronics company. In Handbook of Research on Fuzzy and Rough Set Theory in Organizational Decision Making (pp. 355-375). IGI Global.

Vesković, S.; Stević, Ž.; Stojić, G.; Vasiljević, M.; Milinković, S. Evaluation of the railway management model by using a new integrated model DELPHI-SWARA-MABAC. Decis. Mak. Appl. Manag. Eng. 2018, 1, 34–50.

Yazdani, M., Chatterjee, P., Zavadskas, E. K., & Zolfani, S. H. (2017). Integrated QFD-MCDM framework for green supplier selection. Journal of Cleaner Production, 142, 3728-3740.

Yu, Q., & Hou, F. (2016). An approach for green supplier selection in the automobile manufacturing industry. Kybernetes.

Zhao, H., & Guo, S. (2014). Selecting green supplier of thermal power equipment by using a hybrid MCDM method for sustainability. Sustainability, 6(1), 217-235.

Published
2020-03-14
How to Cite
Đalić, I., Stević, Željko, Karamasa, C., & Puška, A. (2020). A novel integrated fuzzy PIPRECIA – interval rough SAW model: green supplier selection. Decision Making: Applications in Management and Engineering, 3(1), 126-145. Retrieved from https://dmame.rabek.org/index.php/dmame/article/view/60