Integrated MCDM model for processes optimization in supply chain management in wood company

  • Živko Erceg University of East Sarajevo, Faculty of Transport and Traffic Engineering Doboj, Bosnia and Herzegovina
  • Fatima Mularifović University of East Sarajevo, Faculty of Transport and Traffic Engineering Doboj, Bosnia and Herzegovina
Keywords: FUCOM, WASPAS, SCM, evaluation of suppliers, decomposition

Abstract

Supply chain management (SCM) is a global strategy in nowadays business environment. It is needed It is necessary to manage a number of processes and activities on a daily basis in order to achieve a competitive advantage. In order to achieve adequate bases for successful functioning, it is necessary to know their abilities and weaknesses. In order to achieve this, it is necessary to perform the decomposition of the complete system. In this paper decomposition in wood company and supplier selection in subsystem of procurement has performed. For determining criteria weights are applied Full Consistency Method (FUCOM), while the ranking of supplier is performed using Weighted Aggregated Sum Product ASsessment (WASPAS) method. Obtained results are checked through sensitivity analysis that is formed with modeling of criteria weights. In sensitivity analysis it was found that changes in the significance of the criteria could influence the decision making and ranking of suppliers.

References

Nunić, Z. (2018). Evaluation and selection of Manufacturer PVC carpentry using FUCOM-MABAC model. Operational Research in Engineering Sciences: Theory and Applications, 1(1), 13-28.
Stević, Ž., Tanackov, I., Vasiljević, M., & Vesković, S. (2016, September). Evaluation in logistics using combined AHP and EDAS method. In Proceedings of the XLIII International Symposium on Operational Research, Belgrade, Serbia (pp. 20-23).
Pamučar, D., Lukovac, V., Božanić, D., & Komazec, N. (2018). Multi-criteria FUCOM-MAIRCA model for the evaluation of level crossings: case study in the Republic of Serbia. Operational Research in Engineering Sciences: Theory and Applications, 1(1), 108-129.
Pamučar, D., Stević, Ž., & Sremac, S. (2018). A new model for determining weight coefficients of criteria in mcdm models: Full consistency method (fucom). Symmetry, 10(9), 393.
Zavadskas, E. K., Nunić, Z., Stjepanović, Ž., & Prentkovskis, O. (2018). A novel rough range of value method (R-ROV) for selecting automatically guided vehicles (AGVs). Studies in Informatics and Control, 27(4), 385-394.
Prentkovskis, O., Erceg, Ž., Stević, Ž., Tanackov, I., Vasiljević, M., & Gavranović, M. (2018). A New Methodology for Improving Service Quality Measurement: Delphi-FUCOM-SERVQUAL Model. Symmetry, 10(12), 757.
Fazlollahtabar, H., Smailbašić, A., Stević, Ž., (2019). FUCOM method in group decision-making: selection of forkliftin a warehouse, Decision Making: Applications in Management and Engineering, Vol. 2(1), 49-65
Zavadskas, E. K., Turskis, Z., Antucheviciene, J., & Zakarevicius, A. (2012). Optimization of weighted aggregated sum product assessment. Elektronika ir elektrotechnika, (6 (122)), 3-7.
Stević, Ž., Pamučar, D., Kazimieras Zavadskas, E., Ćirović, G., & Prentkovskis, O. (2017). The selection of wagons for the internal transport of a logistics company: A novel approach based on rough BWM and rough SAW methods. Symmetry, 9(11), 264.
Jusoh, A., Mardani, A., Omar, R., Štreimikienė, D., Khalifah, Z., & Sharifara, A. (2018). Application of MCDM approach to evaluate the critical success factors of total quality management in the hospitality industry. Journal of Business Economics and Management, 19(2), 399-416.
Ranjan, R., Chatterjee, P., & Chakraborty, S. (2016). Performance evaluation of Indian Railway zones using DEMATEL and VIKOR methods. Benchmarking: An International Journal, 23(1), 78-95.
Stević, Ž. (2017). Modeling performance of logistics subsystems using fuzzy approach. The International Journal of Transport & Logistics, 17(42), 30-39.
Stević, Ž., Vasiljević, M., Puška, A., Tanackov, I., Junevičius, R., & Vesković, S. (2019). Evaluation of suppliers under uncertainty: a multiphase approach based on fuzzy AHP and fuzzy EDAS. Transport, 34(1), 52-66.
Stević, Ž., Vesković, S., Vasiljević, M., & Tepić, G. (2015, May). The selection of the logistics center location using AHP method. In 2nd Logistics International Conference (pp. 86-91).
Stojić, G., Stević, Ž., Antuchevičienė, J., Pamučar, D., & Vasiljević, M. (2018). A novel rough WASPAS approach for supplier selection in a company manufacturing PVC carpentry products. Information, 9(5), 121.
Published
2019-03-19
How to Cite
Erceg, Živko, & Mularifović, F. (2019). Integrated MCDM model for processes optimization in supply chain management in wood company. Operational Research in Engineering Sciences: Theory and Applications, 2(1), 37-50. Retrieved from http://www.oresta.org/index.php/oresta/article/view/17