Application of Multi-Criteria Decision-Making Methods in Warehouse: A Brief Review
DOI:
https://doi.org/10.31181/sems11202331tKeywords:
Warehouse; MCDM; Warehouse location; Warehouse managementAbstract
This review paper investigates the application of various multi-criteria decision-making (MCDM) methods in the context of warehouse management, considering papers published from 2010 to date. Warehouses often face many challenges, including efficient inventory management, space optimization, proper resource allocation, and optimal supplier selection. This paper focuses on several well-known MCDM methods that are often used in the context of warehouse management. Full consistency method (FUCOM), analytic hierarchy process (AHP), the technique for order of preference by similarity to ideal solution (TOPSIS), weighted aggregated sum product assessment (WASPAS), criteria importance through intercriteria correlation (CRITIC), measurement of alternatives and ranking according to the compromise solution (MARCOS), best worst method (BMW), evaluation based on distance from average solution (EDAS), correlation coefficient and the standard deviation (CCSD), indifference threshold-based attribute ratio analysis (ITARA), and simple additive weighting (SAW) are some of the methods reviewed in the paper, as well as certain fuzzy versions of the methods. This review paper provides a brief comprehensive overview of the application of these methods in the context of warehouse management. Data collection leads to results that tell us that the methods are mainly used in solving problems during the selection of warehouse location, the selection of warehouse equipment, and also in the management of the warehouse itself and the performance of its management. It has also been seen that the methods are useful even in "green" logistics, as well as in inventory management.
Downloads
References
Tuncay, O., & Sakir, E. (2011). Comparative analysis of multi-criteria decision making methodologies and implementation of a warehouse location selection problem. Expert Systems with Applications, 38, 9773-9779. https://doi.org/10.1016/j.eswa.2011.02.022.
Turan, E.E., & Gulin, F.C. (2014). Selecting the best warehouse data collecting system by using ahp and fahp methods. Tehnički Vjesnik, 21, 87-93.
Balaram, D., Bipradas, B., Bijan, S., & Subir, K.S. (2016). Warehouse location selection by fuzzy multi-criteria decision making methodologies based on subjective and objective criteria. International Journal of Management Science and Engineering Management, 11, 4, 262-278. https://doi.org/10.1080/17509653.2015.1086964.
Khan, S.A., Dweiri, F., & Chaabane, A. (2016). Fuzzy-AHP approach for warehouse performance measurement. IEEE International Conference on Industrial Engineering and Engineering Management (IEEM). https://doi.org/10.1109/IEEM.2016.7798001.
Mujagić, J. (2015). Characteristics of Forklifts for Storage of Goods in Warehouses. Diplomski rad. University of Zagreb. Faculty of Transport and Traffic Sciences. Division of Intelligent Transport Systems and Logistics. Department of Transport Logistics.
Ajripour, I. (2022). Applying a Hybrid MCDM Technique in Warehouse Management. VEZETÉSTUDOMÁNY, 53 (11). 55-68. https://doi.org/10.14267/VEZTUD.2022.11.05.
Hallak. J., & Ozkurt, P. (2021). Multi Criteria Decision Making Approach to the Evaluation of Humanitarian Relief Warehouses Integrating Fuzzy Logic: A Case Study in Syria. European Journal of Science and Technology, 22, 71-88. https://doi.org/10.31590/ejosat.850693.
Fazlollahtabar, H., Smailbašić, E., & Stević, Ž. (2019). FUCOM method in group decision-making: Selection of forklift in a warehouse. Decision Making: Applications in Management and Engineering, 2(1), 49-65. https://doi.org/10.31181/dmame1901065f.
Apak, S., Tozan, H., & Vayvay, Ö. (2016). A new systematic approach for warehouse management system evaluation. Tehnički Vjesnik, 23(5), 1439-1446. https://doi.org/10.17559/TV-20141029094700.
Popović, V., Pamučar, D. Stević, Ž., Lukovac, V., & Jovković, S. (2022). Multicriteria Optimization of Logistics Processes Using a Grey FUCOM-SWOT Model. Symmetry, 14(4), 794. https://doi.org/10.3390/sym14040794.
Vukasović, D. Gligović, D. Terzić, S., Stević, Ž., & Macura, P. (2021). A Novel fuzzy mcdm model for inventory management in order to increase business efficiency. Technological and Economic Development of Economy, 27(2), 386-401. https://doi.org/10.3846/tede.2021.14427.
Ulutas, A., Karabašević, D., Popović, G., Stanujkić, D., Nguyen, P. T., & Karakoy, C. (2020). Development of a Novel Integrated CCSD-ITARA-MARCOS Decision-Making Approach for Stackers Selection in a Logistics System. Mathematics, 8(10), 1672. https://doi.org/10.3390/math8101672.
Huskanović, E., Stević, Ž., & Simić, S. (2023). Objective-Subjective CRITIC-MARCOS Model for Selection Forklift in Internal Transport Technology Processes. Mechatronics and Intelligent Transportation Systems, 2(1), 20-31. https://doi.org/10.56578/mits020103.
Ocampo, L., Genimelo, G. J., Lariosa, J., Guinitaran, R., Borromeo, P. J., et al. (2020). Warehouse location selection with TOPSIS group decision-making under different expert priority allocations. Engineering Management in Production and Services, 12(4), 22-39. https://doi.org/10.2478/emj-2020-0025.
Ashrafzadeh, M., Rafiei, F. M., Mollaverdi, N., & Zare, Z. (2012). Application of fuzzy TOPSIS method for the selection of Warehouse Location: A Case Study. Interdisciplinary Journal of Contemporary Research in Business, 3(9), 655-671.
Zeng, H., Zhang, Z., Chen, J., & Fan, S. (2021). Research and application of TOPSIS based on AHP in storage mode. E3S Web Conf. Volume 252, 2021 International Conference on Power Grid System and Green Energy. https://doi.org/10.1051/e3sconf/202125202033.
Jakimovska, K., & Vasileva, A. (2020). An application of topsis methodology for smart, green logistics in warehouse. Prosperitas, 7, 6–18. http://publikaciotar.uni-bge.hu/id/eprint/1719.
Atanasković, P., Gajić, V., Dadić, I., & Nikoličić. S. (2013). Selection of Forklift Unit for Warehouse Operation by Applying Multi-Criteria Analysis. Scientific Journal on Traffic and Transportation Research, 25(4), 379-386. https://doi.org/10.7307/ptt.v25i4.1338.
Zolfani, S. H., Görçün, O. F., & Küçükönder, H. (2023). Evaluation of the Special Warehouse Handling Equipment (Turret Trucks) Using Integrated FUCOM and WASPAS Techniques Based on Intuitionistic Fuzzy Dombi Aggregation Operators. Arabian Journal for Science and Engineering. https://doi.org/10.1007/s13369-023-07615-0.
Karmaker, C. L., & Saha, M. (2015). Optimization of warehouse location through fuzzy multi-criteria decision making methods. Decision Science Letters, 4, 315-334. https://doi.org/10.5267/j.dsl.2015.4.005.
Simic, V., Dabić-Miletić, S., Tirkolaee. E. B., Stević, Ž., Ala, A., & Amirteimoori, A. (2023). Neutrosophic LOPCOW-ARAS Model for Prioritizing Industry 4.0-based Material Handling Technologies in Smart and Sustainable Warehouse Management Systems. Applied Soft Computing, 143, 110400. https://doi.org/10.1016/j.asoc.2023.110400.
Downloads
Published
Issue
Section
License
Copyright (c) 2023 Spectrum of Engineering and Management Sciences
This work is licensed under a Creative Commons Attribution 4.0 International License.
