A Comparative Study of Using MCDM Methods Integrated with Entropy Weight Method for Evaluating Facility Location Problem
DOI:
https://doi.org/10.31181/oresta250322151aKeywords:
Multiple-criteria decision making (MCDM); Facility location problem (FLP); Comparative study; Rank disagreementAbstract
The location selection of facilities became a major interest for the organizations to establish their planned business for a long period of time. The choice of the best location among a set of candidate locations is a complex process. Although the multiple criteria decision making (MCDM) methods are applicable for location selection problems, different solutions can be obtained using different MCDM methods. Thus, a comparative study between four different MCDM methods was applied within numerical example to show the deviations in ranking of the alternatives that occurs when different methods are used. The weights of attributes are assigned using objective method namely Entropy weight method. The rank disagreements are expressed using spearman`s correlation coefficients.
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Abhang, L. B., & Hameedullah, M. (2012). Determination of optimum parameters for multi-performance characteristics in turning by using grey relational analysis. The International Journal of Advanced Manufacturing Technology, 63(1-4), 13-24. https://doi.org/10.1007/s00170-011-3857-6
Adalı, E. A., & Tuş, A. (2021). Hospital site selection with distance-based multi-criteria decision-making methods. International Journal of Healthcare Management, 14(2), 534-544. https://doi.org/10.1080/20479700.2019.1674005
Alosta, A., Elmansuri, O., & Badi, I. (2021). Resolving a location selection problem by means of an integrated AHP-RAFSI approach. Reports in Mechanical Engineering, 2(1), 135-142. https://doi.org/10.31181/rme200102135a
Athawale, V. M., Chatterjee, P., & Chakraborty, S. (2012). Decision making for facility location selection using PROMETHEE II method. International Journal of Industrial and Systems Engineering 1, 11(1-2), 16-30.
Aytekin, A. (2021). Comparative Analysis of the Normalization Techniques in the Context of MCDM Problems. Decision Making: Applications in Management and Engineering, 4(2), 1-25. https://doi.org/10.31181/dmame210402001a
Chakraborty, R., Ray, A., & Dan, P. J. I. J. (2013). Multi criteria decision making methods for location selection of distribution centers. International Journal of Industrial Engineering Computations, 4(4), 491-504. http://dx.doi.org/10.5267/j.ijiec.2013.06.006
Chauhan, A., & Singh, A. (2016). A hybrid multi-criteria decision making method approach for selecting a sustainable location of healthcare waste disposal facility. Journal of Cleaner Production, 139, 1001-1010. https://doi.org/10.1016/j.jclepro.2016.08.098
Chen, J., Wang, J., Baležentis, T., Zagurskaitė, F., Streimikiene, D., & Makutėnienė, D. (2018). Multicriteria approach towards the sustainable selection of a teahouse location with sensitivity analysis. Sustainability, 10(8), 2926. https://doi.org/10.3390/su10082926
Drezner, Z., & Hamacher, H. W. (Eds.). (2004). Facility location: applications and theory. Springer Science & Business Media.
Farahani, R. Z., & Hekmatfar, M. (Eds.). (2009). Facility location: concepts, models, algorithms and case studies. Springer Science & Business Media.
Francis, R. L., McGinnis, L. F., & White, J. A. (1992). Facility layout and location: an analytical approach. Pearson College Division.
Hakimi, S. L. (1964). Optimum locations of switching centers and the absolute centers and medians of a graph. Operations research, 12(3), 450-459. https://doi.org/10.1287/opre.12.3.450
Hwang, C. L., & Yoon, K. (1981). Methods for multiple attribute decision making. In Multiple attribute decision making, 58-191. Springer, Berlin, Heidelberg.
Ju-Long, D. (1982). Control problems of grey systems. Systems & control letters, 1(5), 288-294. https://doi.org/10.1016/S0167-6911(82)80025-X
Keshavarz Ghorabaee, M., Zavadskas, E. K., Olfat, L., & Turskis, Z. (2015). Multi-criteria inventory classification using a new method of evaluation based on distance from average solution (EDAS). Informatica, 26(3), 435-451.
Kieu, P. T., Nguyen, V. T., Nguyen, V. T., & Ho, T. P. (2021). A Spherical Fuzzy Analytic Hierarchy Process (SF-AHP) and Combined Compromise Solution (CoCoSo) Algorithm in Distribution Center Location Selection: A Case Study in Agricultural Supply Chain. Axioms, 10(2), 53. https://doi.org/10.3390/axioms10020053
Kuo, Y., Yang, T., & Huang, G. W. (2008). The use of grey relational analysis in solving multiple attribute decision-making problems. Computers & industrial engineering, 55(1), 80-93. https://doi.org/10.1016/j.cie.2007.12.002
Marianov, V., Serra, D., & Drezner, Z. (2002). Location problems in the public sector. Facility location: Applications and theory, 1, 119-150.
Mihajlović, J., Rajković, P., Petrović, G., & Ćirić, D. (2019). The selection of the logistics distribution center location based on MCDM methodology in southern and eastern region in Serbia. Operational Research in Engineering Sciences: Theory and Applications, 2(2), 72-85. https://doi.org/10.31181/oresta190247m
Niyazi, M., & Tavakkoli-Moghaddam, R. (2014). Solving a facility location problem by three multi-criteria decision making methods. International Journal of Research in Industrial Engineering, 3(4), 41-56.
Opricovic, S., & Tzeng, G. H. (2004). Compromise solution by MCDM methods: A comparative analysis of VIKOR and TOPSIS. European journal of operational research, 156(2), 445-455. https://doi.org/10.1016/S0377-2217(03)00020-1
Parhizgarsharif, A., Lork, A., & Telvari, A. (2019). A hybrid approach based on the BWM-VIKOR and GRA for ranking facility location in construction site layout for Mehr project in Tehran. Decision Science Letters, 8(3), 233-248. http://dx.doi.org/10.5267/j.dsl.2019.3.001
Shannon, C. E. (1948). A mathematical theory of communication. The Bell system technical journal, 27(3), 379-423.
Shokri, H., Ashjari, B., Saberi, M., & Yoon, J. H. (2013). An integrated AHP-VIKOR methodology for facility layout design. Industrial Engineering and Management Systems, 12(4), 389-405. https://doi.org/10.7232/iems.2013.12.4.389
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 86-91.
Suman, M. N. H., MD Sarfaraj, N., Chyon, F. A., & Fahim, M. R. I. (2021). Facility location selection for the furniture industry of Bangladesh: Comparative AHP and FAHP analysis. International Journal of Engineering Business Management, 13, https://doi.org/10.1177%2F18479790211030851
Toregas, C., Swain, R., ReVelle, C., & Bergman, L. (1971). The location of emergency service facilities. Operations research, 19(6), 1363-1373. https://doi.org/10.1287/opre.19.6.1363
Tosun, N. (2006). Determination of optimum parameters for multi-performance characteristics in drilling by using grey relational analysis. The International Journal of Advanced Manufacturing Technology, 28(5), 450-455. https://doi.org/10.1007/s00170-004-2386-y
Voogd, H. (1983). Multicriteria evaluation for urban and regional planning Pion Ltd. London, UK.
Weber, A., & Friedrich, C. J. (1929). Alfred Weber's theory of the location of industries.
Yazdani, M., Zarate, P., Zavadskas, E. K., & Turskis, Z. (2019). A Combined Compromise Solution (CoCoSo) method for multi-criteria decision-making problems. Management Decision. 57(9), 2501-2519. https://doi.org/10.1108/MD-05-2017-0458
Zadeh, L. (1963). Optimality and non-scalar-valued performance criteria. IEEE transactions on Automatic Control, 8(1), 59-60. https://doi.org/10.1109/TAC.1963.1105511
Żak, J., & Węgliński, S. (2014). The selection of the logistics center location based on MCDM/A methodology. Transportation Research Procedia, 3, 555-564. https://doi.org/10.1016/j.trpro.2014.10.034