Abstract
Facility location decisions play a critical role in the strategic design of supply chain networks. This paper discusses facility location problem with focus on logistics distribution center (LDC) in Balkan Peninsula. Methodological hybrid Analytical Hierarchy Process (AHP) and k-means method is proposed here and it is shown how such a model can be of assistance in analyzing a multi criteria decision-making problem. This research represents a continuation of two existing studies: (1) PROMETHEE II ranking method; and (2) combine Greedy heuristic algorithm and AHP. The experimental results in our research could be well compared with other official results of the feasibility study of the LDC located in Balkan Peninsula.
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Tomić, V., Memet, A., Milosavljević, M., Milisavljević, S.: Decision on the logistics centers location, case of the Balkan peninsula. Ann. Oradea Univ. Fascicle Manage. Technol. Eng., Issue 2, pp. 330–338 (2013)
Tomić, V., Marinković, D., Marković, D.: Using multi-criteria comparison: case study of the Balkan peninsula. Acta Polytech. Hung. 11(10), 97–113 (2014)
Bhattacharya, B.K., Sen, S.: On a simple, practical, optimal, output-sensitive randomized planar convex hull algorithm. J. Algorithms 25(1), 177–193 (1997)
Kahraman, C., Ruan, D., Dogan, I.: Fuzzy group decision-making for facility location selection. J. Inf. Sci. 157(1), 135–153 (2003)
Ertugrul, I., Karakasoglu, N.: Performance evaluation of Turkish cement firms with fuzzy analytic hierarchy process and TOPSIS methods. Expert Syst. Appl. 36(1), 702–715 (2009)
Chu, T.C.: Selecting plant location via a fuzzy TOPSIS approach. Int. J. Adv. Manuf. Technol. 20(11), 859–864 (2002)
Chou, C.C.: The canonical representation of multiplication operation on triangular fuzzy numbers. Comput. Math Appl. 45(10–11), 1601–1610 (2003)
Yang, L., Jones, B.F., Yang, S.H.: A fuzzy multi-objective programming for optimization of fire station locations through genetic algorithms. Eur. J. Oper. Res. 181, 903–915 (2007)
Deng, H., Yeh, C.H., Willis, R.J.: Inter-company comparison using modified TOPSIS with objective weights. Comput. Oper. Res. 27(10), 963–973 (2000)
Shih, H.S., Shyur, H.J., Lee, E.S.: An extension of TOPSIS for group decision making. Math. Comput. Model. 45(7–8), 801–813 (2007)
Zanakis, S.H., Solomon, A., Wishart, N., Dublish, S.: Multi-attribute decision making: a simulation comparison of select methods. Eur. J. Oper. Res. 107(3), 507–529 (1998)
Boile, M., Theofanis, S., Wieder, A.: Feasibility of Freight Villages in the NYMTC Region, Center for Advanced Infrastructure and Transport, New Jersey (2008)
Bentzen, K., Laugesen M., Cerneckyte, V.: Transport and Logistics Centres, SUTRANET – Sustainable Transport Research & Development Network in the North Sea Region, Aalborg (2007)
Sharma, M.J., Moon, I., Bea, H.: Analytic hierarchy process to assess and optimize distribution network. Appl. Math. Comput. 202(1), 256–265 (2008)
Saaty, T.L.: Analytic Hierarchy Process, Planning, Priority Setting, Resource Allocation. McGraw Hill Inc., New York (1980)
Everitt, B.S., Landau, S., Leese, M., Stahl, D.: Cluster Analysis. Wiley, Hoboken (2011)
Acknowledgments
The authors acknowledge the support for research project TR 36030, funded by the Ministry of Science and Technological Development of Serbia.
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Simić, D., Ilin, V., Tanackov, I., Svirčević, V., Simić, S. (2015). A Hybrid Analytic Hierarchy Process for Clustering and Ranking Best Location for Logistics Distribution Center. In: Onieva, E., Santos, I., Osaba, E., Quintián, H., Corchado, E. (eds) Hybrid Artificial Intelligent Systems. HAIS 2015. Lecture Notes in Computer Science(), vol 9121. Springer, Cham. https://doi.org/10.1007/978-3-319-19644-2_40
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DOI: https://doi.org/10.1007/978-3-319-19644-2_40
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