Facility location selection for plastic manufacturing industry in Bangladesh by using AHP method

Document Type: Research Paper

Authors

1 Department of Industrial and Production Engineering, Faculty of Engineering and Technology, Jessore University of Science and Technology, Jessore-7408, Bangladesh.

2 Department of Industrial and Production Engineering, Jessore University of Science and Technology, Jessore-7408, Bangladesh.

Abstract

In present’s, the location selection problems play an important role for the top-level manager or entrepreneur for opening a new manufacturing company or relocate or expand their operation. As an engineered material, the plastic is used for manufacturing a wide variety of domestic products. For this reason, the plastic manufacturing industries are growing in Bangladesh through the last two eras. This paper might be helpful to select a new location or expansion of the existing one in Bangladesh for the plastic manufacturing company. In this study, we have taken five commercial districts as location and ten criteria for deep consideration from all promising sites of Bangladesh.For this purpose, data has collected through surveying and questionnaires. Then, the Analytic Hierarchy Process (AHP) has used to make a preference measure to select the best location for plastic manufacturing industries. From the comparison value of the composite weight, it can be found that Mongla is the best alternative location for the decision problems.

Keywords

Main Subjects


[1]  Chu, T. C. (2002). Facility location selection using fuzzy TOPSIS under group decisions. International journal of uncertainty, fuzziness and knowledge-based systems10(06), 687-701.

[2]  Koç, E., & Burhan, H. A. (2014). An analytic hierarchy process (AHP) approach to a real world supplier selection problem: a case study of carglass turkey. Global Business & Management Research6(1).

[3]  MacCarthy, B. L., & Atthirawong, W. (2003). Factors affecting location decisions in international operations–a Delphi study. International journal of operations & production management23(7), 794-818.

[4]  Zavadskas, E. K., Turskis, Z., & Kildienė, S. (2014). State of art surveys of overviews on MCDM/MADM methods. Technological and economic development of economy20(1), 165-179.

[5]  Mandal, S., & Mondal, S. S. (2016). Analytic hierarchy process (AHP) approach for selection of open cast coal mine project. International journal of industrial engineering7(2).

[6]  Baumol, W. J., & Wolfe, P. (1958). A warehouse-location problem. Operations research6(2), 252-263.

[7]  Rosenthal, R. E., White, J. A., & Young, D. (1978). Stochastic dynamic location analysis. Management science24(6), 645-653.

[8]  Ebert, R. J., & Adam, E. E. (1992). Production and operations management: concepts, models, and behavior. Prentice Hall.

[9]  Rao, R. V. (2007). Decision making in the manufacturing environment: using graph theory and fuzzy multiple attribute decision making methods. Springer Science & Business Media.

[10] Kaboli, A., Aryanezhad, M. B., Shahanaghi, K., & Niroomand, I. (2007, October). A new method for plant location selection problem: A fuzzy-AHP approach. IEEE international conference on systems, man and cybernetics (ISIC) (pp. 582-586). IEEE.

[11] Chatterjee, D., & Mukherjee, B. (2013). Potential hospital location selection using AHP: A study in rural India. International journal of computer applications71(17).

[12]  Fortenberry, J. C., & Mitra, A. (1986). A multiple criteria approach to the location-allocation problem. Computers & industrial engineering10(1), 77-87.

[13] Kahne, S. (1975). A procedure for optimizing development decisions. Automatica11(3), 261-269.

[14] Kirkwood, C. W. (1982). A case history of nuclear power plant site selection. Journal of the operational research society33(4), 353-363.

[15] Yong, D. (2006). Plant location selection based on fuzzy TOPSIS. The international journal of advanced manufacturing technology28(7-8), 839-844.

[16] Ko, J. (1980). Solving a distribution facility location problem using an analytic hierarchy process approach. Situations (Zahedi, 1996).

[17] Hundal, G. P. S., & Kant, S. (2017). Product design development by integrating QFD approach with heuristics-AHP, ANN and fuzzy logics-a case study in miniature circuit breaker. International journal of productivity and quality management20(1), 1-28.

[18] Saaty, T. L., & Decision, H. T. M. A. (1990). The analytic hierarchy process. European journal of operational research48, 9-26.