Multi criteria decision making methods for location selection of distribution centers

Abstract: In recent years, major challenges such as, increase in inflexible consumer demands and to improve the competitive advantage, it has become necessary for various industrial organizations all over the world to focus on strategies that will help them achieve cost reduction, continual quality improvement, increased customer satisfaction and on time delivery performance. As a result, selection of the most suitable and optimal facility location for a new organization or expansion of an existing location is one of the most important strategic issues, required to fulfill all of these above mentioned objectives. In order to sustain in the global competitive market of 21st century, many industrial organizations have begun to concentrate on the proper selection of the plant site or best facility location. The best location is that which results in higher economic benefits through increased productivity and good distribution network. When a choice is to be made from among several alternative facility locations, it is necessary to compare their performance characteristics in a decisive way. As the facility location selection problem involves multiple conflicting criteria and a finite set of potential candidate alternatives, different multi-criteria decision-making (MCDM) methods can be effectively applied to solve such type of problem. In this paper, four well known MCDM methods have been applied on a facility location selection problem and their relative ranking performances are compared. Because of disagreement in the ranks obtained by the four different MCDM methods a final ranking method based on REGIME has been proposed by the authors to facilitate the decision making process.

How to cite this paper

 Chakraborty, R., Ray, A & Dan, P. (2013). Multi criteria decision making methods for location selection of distribution centers.International Journal of Industrial Engineering Computations , 4(4), 491-504.

Refrences

Athawale, V. M., & Chakraborty, S. (2011). A comparative study on the ranking performance of some multi-criteria decision-making methods for industrial robot selection. International Journal of Industrial Engineering Computations, 2(4), 831-850.

Brandeau, M. L., & Chiu, S. S. (1989). An overview of representative problems in location Research. Management Science, 35(6), 645-674.

Brauers, W.K.M. (2004). Optimization methods for a stakeholder society. A revolution in economic thinking by multiobjective optimization. Kluwer Academic Publishers, Boston.

Brauers, W.K.M., Zavadskas, E.K., Peldschus, F., & Turskis, Z. (2008). Multiobjective decision-making for road design. Transport, 23, 183–193.

Brown, P. A., & Gibson, D. F. (1972). A quantified model for facility site selection: An application to a multi facility location problem. AIIE Transactions, Vol. 4, 1-10.

Buffa, E. S., & Sarin, R. K. (1987). Modern production and operations management. 8th ed., John Wiley and Sons, New York.

Charnetski, J. R. (1976). Multiple criteria decision making with partial information: A site selection problem. Space Location-Regional Development, Pion, London, 51-62.

Das, S.K. (1993). A facility layout method for flexible manufacturing systems. International Journal of Production Research, 12(3), 279-297.

Drira, A., Pierreval, H. & Hajri-Gabouj, S. (2007). Facility layout problems: A survey. Annual Reviews in Control, 31(2), 255-267.

Ertay, T., Ruan, D. & Tuzkaya, U.R. (2006). Integrating data envelopment analysis and analytic hierarchy for the facility layout design in manufacturing systems. Information Sciences, 176(3), 237-262.

Farhang Moghadam, B., & Seyedhosseini, S. M. (2010). A particle swarm approach to solve vehicle routing problem with uncertain demand: A drug distribution case study. International Journal of Industrial Engineering Computations, 1(1), 55-64.

Fortenberry, J. C., & Mitra, A., (1986). A multiple criteria approach to the location-allocation problem. Computer and Industrial Engineering, 10(1), 77- 87.

Hakimi, S. L. (1964). Optimal locations of switching centers and the absolute centers and medians of a graph, Operations Research, 12, 450-459.

Hinloopen, E., Nijkamp, P., & Rietveld, P. (2004). Integration of ordinal and cardinal information in multi-criteria ranking with imperfect compensation.European Journal of Operational Research, 158(2), 317-338.

Hinloopen, E., Nijkamp, P., & Rietveld, P. (1983). Qualitative discrete multiple criteria choice
models in regional planning. Regional Science and Urban Economics, 13, 77–102.

Hotelling, H. (1929). Stability in competition. Economic Journal, 39, 41-57.

Isard, W. (1956). Location and space economy. Technology Press, MIT, Cambridge, MA.

Kahne, S. (1975). A procedure for optimizing development decisions. Automatica, 11(3), 261- 269.

Kusiak, A. & Heragu, S.S. (1987). The facilities layout problem. European Journal of Operational Research, 29(3), 229-251.

Levary, R.R. & Kalchik, S. (1985). Facilities layout - a survey of solution procedures. Computers & Industrial Engineering, 9(2), 141-148.

Lin, L.C. & Sharp, G.P. (1999). Quantitative and qualitative indices for the plant layout problem. European Journal of Operational Research, 116(1), 118-138.

Meller, R.D. & Gau, K.Y. (1996). The facility layout problem: recent and emerging trends and evaluation perspectives. Journal of Manufacturing Systems, 15(5), 351-66.

Rao, R.V.( 2007). Decision Making in the Manufacturing Environment using Graph Theory and
Fuzzy Multiple Attribute Decision Making Methods. Springer-Verlag, London.

Randhawa S.U., & West T.M. (1995). An integrated approach to facility location problem. Computers and Industrial Engineering, 29, 261-265.

Roy, B., & Vincke, P. (1981). Multi-criteria analysis: Survey and new directions. European Journal of Operational Research, 8, 207-218.

Russell, D.M., Venkat, N. & Pamela, H.V. (1999). Optimal facility layout design. Operations Research Letters, 23(3), 117-127.

Saaty, T.L. (1980). The analytic hierarchy process. New York: McGraw-Hill.

Shahanaghi, K., & Yazdian, S.A. (2010). Facility location and distribution decisions in supply chains with fleet sizing considering both tangible and intangible criteria. International Journal of Management Science and Engineering Management, 5(4), 302-308.

Sheskin, D.J. (2004). Handbook of parametric and nonparametric statistical procedures. Chapman and Hall/CRC.

Smithies, A., (1941). Optimum location in spatial competition. Journal of Political Economy, 49, 432- 492.

Stevens, B. H. (1969). An application of game theory to a problem in location strategy. Papers of Regional Science Association, 7, 85-111.

Tompkins, J.A. & Reed, J.R. (1976). An applied model for the facilities design problem. International Journal of Production Research, 14(2), 583-595.

Wang, T.Y., Wu, K.B. & Liu, Y.W. (2001). A simulated annealing algorithm for facility layout problems under variable demand in cellular manufacturing systems. Computers in Industry, 46(2), 181-188.

Yazdian, S. A., & Shahanaghi, K. (2011). A multi-objective possibilistic programming approach for locating distribution centers and allocating customers’ demands in supply chains. International Journal of Industrial Engineering Computations, 2(1), 193-202.