FUCOM method in group decision-making: Selection of forklift in a warehouse

Hamed Fazlollahtabar; Aldina Smailbašić; Željko Stević

doi:10.31181/dmame1901065f

Authors

Hamed Fazlollahtabar Department of Industrial Engineering, School of Engineering, Damghan University, Damghan, Iran
Aldina Smailbašić University of East Sarajevo, Faculty of Transport and Traffic Engineering, Doboj, Bosnia and Herzegovina
Željko Stević University of East Sarajevo, Faculty of Transport and Traffic Engineering, Doboj, Bosnia and Herzegovina

DOI:

https://doi.org/10.31181/dmame1901065f

Keywords:

FUCOM method; Forklift, WASPAS method, Warehouse, group decision-making

Abstract

A warehouse system as a time transformation of the flows of goods plays an essential role in a complete logistics chain. The efficiency of a complete warehouse system largely depends on the efficiency of carrying out transport and handling operations. Therefore, it is essential to have adequate means of internal transport that will influence the efficiency of the warehouse system by its performance. In this paper, the evaluation and selection of side- loading forklift using the FUCOM-WASPAS model, which has been used for the first time in the literature in this paper, is performed. The FUCOM method was used to obtain the weight values of the criteria, while WASPAS was applied for the evaluation and ranking of forklifts. A possibility to apply the FUCOM method in group decision-making was presented. A comparative analysis, in which other methods of multi-criteria decision-making were applied, was carried out. The analysis showed the stability of the results obtained.

Downloads

Download data is not yet available.

References

Hanaoka, S., & Kunadhamraks, P. (2009). Multiple criteria and fuzzy based evaluation of logistics performance for intermodal transport. Journal of Advanced Transport, 43(2), 123-153.

MacCrimmon, K. R. (1968). Decision making among multiple-attribute alternatives: a survey and consolidated approach (No. RM-4823-ARPA). Santa Monica: Rand Corporation.

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.

Petrović, G. S., Madić, M., & Antucheviciene, J. (2018). An approach for robust decision making rule generation: Solving transport and logistics decision making problems. Expert Systems with Applications, 106, 263-276.

Prakash, C., & Barua, M. K. (2016). A combined MCDM approach for evaluation and selection of third-party reverse logistics partner for Indian electronics industry. Sustainable Production and Consumption, 7, 66-78.

Radović, D., Stević, Ž., Pamučar, D., Zavadskas, E., Badi, I., Antuchevičiene, J., & Turskis, Z. (2018). Measuring Performance in Transport Companies in Developing Countries: A Novel Rough ARAS Model. Symmetry, 10(10), 434.

Sremac, S., Stević, Ž., Pamučar, D., Arsić, M., & Matić, B. (2018). Evaluation of a Third-Party Logistics (3PL) Provider Using a Rough SWARA–WASPAS Model Based on a New Rough Dombi Aggregator. Symmetry, 10(8), 305.

Stević, Ž., Pamučar, D., Kazimieras Zavadskas, E., Ćirović, G., & Prentkovskis, O. (2017a). 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.

Stević, Ž., Pamučar, D., Vasiljević, M., Stojić, G., & Korica, S. (2017b). Novel integrated multi-criteria model for supplier selection: Case study construction company. Symmetry, 9(11), 279.

Stojčić, M., Pamučar, D., Mahmutagić, E., & Stević, Ž. (2018). Development of an ANFIS Model for the Optimization of a Queuing System in Warehouses. Information, 9(10), 240.

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.

Tzeng, G. H., & Huang, C. Y. (2012). Combined DEMATEL technique with hybrid MCDM methods for creating the aspired intelligent global manufacturing & logistics systems. Annals of Operations Research, 197(1), 159-190.

Żak, J., & Węgliński, S. (2014). The selection of the logistics center location based on MCDM/A methodlogy. Transport Research Procedia, 3, 555-564.

Zavadskas, E. K., & Turskis, Z. (2010). A new additive ratio assessment (ARAS) method inmulticriteria decision making. Technological and Economic Development of Economy, 16(2), 159-172.

Zavadskas, E. K., Stević, Ž., Tanackov, I., & Prentkovskis, O. (2018). A Novel Multicriteria Approach–Rough Step-Wise Weight Assessment Ratio Analysis Method (R-SWARA) and Its Application in Logistics. Studies in Informatics and Control, 27(1), 97-106.

Zavadskas, E. K., Turskis, Z., Antucheviciene, J., & Zakarevicius, A. (2012). Optimization of weighted aggregated sum product assessment. Elektronika ir elektrotechnika, 122(6), 3-6.