A novel MCDM model for warehouse location selection in supply chain management

Bipradas Bairagi

doi:10.31181/dmame0314052022b

Authors

Bipradas Bairagi Department of Mechanical Engineering, Haldia Institute of Technology, India

DOI:

https://doi.org/10.31181/dmame0314052022b

Keywords:

Leagile supply chain, Warehouse location selection, FMCDM, Benefit cost ratio.

Abstract

The present investigation reveals a novel method for the evaluation of warehouse location for leagile supply chain entailing Fuzzy Multi Criteria Analysis (FMCA). An attempt has been made to apply the concept of decision theory for selecting the warehouse under contradictory criteria. Aggregate Modified Weighted Value (MWV) of normalized score of alternative is determined to evaluate Benefit Cost Ratio (BCR) which is considered as the warehouse selection index. The proposed algorithm is illustrated with a suitable numerical example to adjudge its desirable importance in capability and practicability. It also ensured that the achieved result clearly matches with those of previous research works. Finally, sensitivity analysis has been carried out that justify and supports the application of proposed algorithm in finding the most favorable outcome to the selection problem of warehouse location.

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References

Agarwal, A., Shankar, R., & Tiwari, M. K. (2006). Modeling the metrics of lean, agile and leagile supply chain: An ANP-based approach. European journal of operational research, 173(1), 211-225.

Chen, C. T., Lin, C. T., & Huang, S. F. (2006). A fuzzy approach for supplier evaluation and selection in supply chain management. International journal of production economics, 102(2), 289-301.

Chiou, H. K., Tzeng, G. H., & Cheng, D. C. (2005). Evaluating sustainable fishing development strategies using fuzzy MCDM approach. Omega, 33(3), 223-234.

Chopra, S., & Meindl, P. (2001). Supply chain management: strategy. Planning and Operation, 15(5), 71-85.

Chu, T. C., (2002). Facility location selection using fuzzy TOPSIS under group decisions. International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems, 10, 687–701.

Dey, B., Bairagi, B., Sarkar, B., & Sanyal, S. K. (2017). Group heterogeneity in multi member decision making model with an application to warehouse location selection in a supply chain. Computers & industrial engineering, 105, 101-122.

Dubois, D., & Prade, H. (1978). Operations on fuzzy numbers. International Journal of Systems Science, 9, 613–626.

Emeç, Ş., & Akkaya, G., (2018). Stochastic AHP and fuzzy VIKOR approach for warehouse location selection problem. Journal of Enterprise Information Management, 31(6), 950–962.

Heizer, J. H., & Render, B. (2004). Principles of operations management. New Jersey: Prentice-Hall.

Kabak, M., & Keskin, İ. (2018). Hazardous materials warehouse selection based on GIS and MCDM. Arabian Journal for Science & Engineering, 43(6), 3269–3278.

Keufmann, A., & Gupta, M.M. (1991). Introduction to Fuzzy Arithmetic: Theory and Application, Van Nostrand Reinhold, New York.

Klir, G. L., & Yuan, B. B. (1995). Fuzzy Sets and Fuzzy Logics—Theory and Application. Prentice Hall, New York, U.S.A. Management in Production and Services, 12(4), 22-39. doi: 10.2478/emj-2020-0025

Lee, H.L. (2002). Aligning Supply Chain Strategies with Product Uncertainties. California Management Review, 44, 105– 119.

Lee, H.L., & Billington, C. (1992). Managing supply chain inventory: Pitfalls and opportunities. Sloan management review, 33, 64-67.

Micale, R., La Fata, C. M., & La Scalia, G. (2019). A combined interval-valued ELECTRE TRI and TOPSIS approach for solving the storage location assignment problem. Computers & Industrial Engineering, 135, 199-210.

Ocampo, L., Genimelo, G. J., Lariosa, J., Guinitaran, R., Borromeo, P. J.Aparente, M. E., Capin, T., & Bongo, M. (2020). Warehouse location selection with TOPSIS group decision-making under different expert priority allocations. Engineering Management in Production and Services, 12(4), 22-39.

Pang, K.W., & Chan, H.L. (2017). Data mining-based algorithm for storage location assignment in a randomized warehouse. International Journal of Production Research, 55(14), 4035–4052.

Stevenson, W. J., Hojati, M., Cao, J., Mottaghi, H., & Bakhtiari, B. (2007). Operations management. Boston: McMcGraw-Hill Irwin.

Ulutaş, A., Balo, F., Sua, L., Demir, E., Topal, A., & Jakovljević, V. (2021). A new integrated grey MCDM model: Case of warehouse location selection. Facta Universitatis, Series: Mechanical Engineering, 19(3), 515-535

Zadeh, L.A. (1965). Fuzzy sets. Information and Control, 338–353.