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Warehouse Selection Problem Solution by Using Proper MCDM Process

Received: 3 October 2019     Accepted: 31 October 2019     Published: 2 December 2019
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Abstract

The most efficient warehousing selection has become one of the significant logistics activities. The main objective of this paper is to select the efficient warehouse by using proper MCDM (Multi Criteria Decision Making) process against some specified criteria. This paper exhumes to explore the possibility of using several multi criteria decision making processes in warehouse location problem. This survey work introduces MCDM process in many domains to pick the best alternative from where different scope, weight for many criteria are explored. Among various methods, it is found that, by the means of the AHP and TOPSIS method, the evaluation criteria with references to the concerned goal and characteristics with respect to analogous criteria. A case study has been performed by selected MCDM (AHP, TOPSIS) process for analysing collected data. Before going for the calculation this research has done a survey by asking some question to concerned person regarding warehouse selection. From case study, among five warehouses it is found that the first warehouse is suitable which accomplishes all criteria. A validation test for AHP has been performed to verify the result obtained which also supports the result. Finally, this research paper will help to select efficient warehouse and will improve the logistics system.

Published in International Journal of Science and Qualitative Analysis (Volume 5, Issue 2)
DOI 10.11648/j.ijsqa.20190502.13
Page(s) 43-51
Creative Commons

This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.

Copyright

Copyright © The Author(s), 2019. Published by Science Publishing Group

Keywords

MCDM Process, AHP, TOPSIS, Warehouse Selection

References
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[2] Özcan, T., Çelebi, N. and Esnaf, Ş., 2011. Comparative analysis of multi-criteria decision making methodologies and implementation of a warehouse location selection problem. Expert Systems with Applications, 38 (8), pp. 9773-9779.
[3] Chen, C. (2009). A decision model of field depot location based on the centrobaric method and analytic hierarchy process (AHP). International Journal of Business and Management, 4 (7), 71-75.
[4] Akalin, M., Turhan, G., & Sahin, A. (2013). The Application of AHP Approach for Evaluating Location Selection Elements for Retail Store. International Journal of Research in Business and Social Science (2147-4478), 2 (4), 01-20.
[5] Uma Devi, K., Elango, C. and Rajesh, R., 2012. Vendor selection using AHP. Procedia engineering, 38, pp. 1946-1949.
[6] Velasquez, M. and Hester, P. T., 2013. An analysis of multi-criteria decision making methods. International Journal of Operations Research, 10 (2), pp. 56-66.
[7] Dobrota, M., Macura, D., & Šelmić, M. (2015, May). Multi criteria decision making for distribution center location selection-Serbia case study. In 2nd Logistics International Conference (pp. 32-37).
[8] Dağdeviren, M., Yavuz, S., & Kılınç, N. (2009). Weapon selection using the AHP and TOPSIS methods under fuzzy environment. Expert Systems with Applications, 36 (4), 8143-8151.
[9] Senthil, S., Srirangacharyulu, B. and Ramesh, A., 2014. A robust hybrid multi-criteria decision making methodology for contractor evaluation and selection in third-party reverse logistics. Expert Systems with Applications, 41 (1), pp. 50-58.
[10] Behzadian, M., Otaghsara, S. K., Yazdani, M., & Ignatius, J. (2012). A state-of the-art survey of TOPSIS applications. Expert Systems with applications, 39 (17), 13051-13069.
[11] Colson, G., & Dorigo, F. (2004). A public warehouses selection support system. European Journal of Operational Research, 153 (2), 332-349.
[12] Dervitsiotis, K. N., 1981. Operations management. McGraw-Hill Companies.
[13] Erkan, T. E., & Can, G. F. (2014). Selecting the best warehouse data collecting system by using AHP and FAHP methods. Technical Gazette, 21 (1), 87-93.
[14] MacCarthy, B. L., & Atthirawong, W. (2003). Factors affecting location decisions in international operations–a Delphi study. International Journal of Operations & Production Management, 23 (7), 794-818.
[15] 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.
[16] Dey, B., Bairagi, B., Sarkar, B., & Sanyal, S. K. (2016). Warehouse location selection by fuzzy multi-criteria decision making methodologies based on subjective and objective criteria. International Journal of Management Science and Engineering Management, 11 (4), 262-278.
[17] Boltürk, E., Çevik Onar, S., Öztayşi, B., Kahraman, C., & Goztepe, K. (2016). Multi-attribute warehouse location selection in humanitarian logistics using hesitant fuzzy AHP. International Journal of the Analytic Hierarchy Process, 8, 271-298.
[18] Raut, R. D., Narkhede, B. E., Gardas, B. B., & Raut, V. (2017). Multi-criteria decision making approach: a sustainable warehouse location selection problem. International Journal of Management Concepts and Philosophy, 10 (3), 260-281.
Cite This Article
  • APA Style

    Md. Al Amin, Apurba Das, Sumit Roy, Md. Imran Shikdar. (2019). Warehouse Selection Problem Solution by Using Proper MCDM Process. International Journal of Science and Qualitative Analysis, 5(2), 43-51. https://doi.org/10.11648/j.ijsqa.20190502.13

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    ACS Style

    Md. Al Amin; Apurba Das; Sumit Roy; Md. Imran Shikdar. Warehouse Selection Problem Solution by Using Proper MCDM Process. Int. J. Sci. Qual. Anal. 2019, 5(2), 43-51. doi: 10.11648/j.ijsqa.20190502.13

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    AMA Style

    Md. Al Amin, Apurba Das, Sumit Roy, Md. Imran Shikdar. Warehouse Selection Problem Solution by Using Proper MCDM Process. Int J Sci Qual Anal. 2019;5(2):43-51. doi: 10.11648/j.ijsqa.20190502.13

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  • @article{10.11648/j.ijsqa.20190502.13,
      author = {Md. Al Amin and Apurba Das and Sumit Roy and Md. Imran Shikdar},
      title = {Warehouse Selection Problem Solution by Using Proper MCDM Process},
      journal = {International Journal of Science and Qualitative Analysis},
      volume = {5},
      number = {2},
      pages = {43-51},
      doi = {10.11648/j.ijsqa.20190502.13},
      url = {https://doi.org/10.11648/j.ijsqa.20190502.13},
      eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ijsqa.20190502.13},
      abstract = {The most efficient warehousing selection has become one of the significant logistics activities. The main objective of this paper is to select the efficient warehouse by using proper MCDM (Multi Criteria Decision Making) process against some specified criteria. This paper exhumes to explore the possibility of using several multi criteria decision making processes in warehouse location problem. This survey work introduces MCDM process in many domains to pick the best alternative from where different scope, weight for many criteria are explored. Among various methods, it is found that, by the means of the AHP and TOPSIS method, the evaluation criteria with references to the concerned goal and characteristics with respect to analogous criteria. A case study has been performed by selected MCDM (AHP, TOPSIS) process for analysing collected data. Before going for the calculation this research has done a survey by asking some question to concerned person regarding warehouse selection. From case study, among five warehouses it is found that the first warehouse is suitable which accomplishes all criteria. A validation test for AHP has been performed to verify the result obtained which also supports the result. Finally, this research paper will help to select efficient warehouse and will improve the logistics system.},
     year = {2019}
    }
    

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  • TY  - JOUR
    T1  - Warehouse Selection Problem Solution by Using Proper MCDM Process
    AU  - Md. Al Amin
    AU  - Apurba Das
    AU  - Sumit Roy
    AU  - Md. Imran Shikdar
    Y1  - 2019/12/02
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    N1  - https://doi.org/10.11648/j.ijsqa.20190502.13
    DO  - 10.11648/j.ijsqa.20190502.13
    T2  - International Journal of Science and Qualitative Analysis
    JF  - International Journal of Science and Qualitative Analysis
    JO  - International Journal of Science and Qualitative Analysis
    SP  - 43
    EP  - 51
    PB  - Science Publishing Group
    SN  - 2469-8164
    UR  - https://doi.org/10.11648/j.ijsqa.20190502.13
    AB  - The most efficient warehousing selection has become one of the significant logistics activities. The main objective of this paper is to select the efficient warehouse by using proper MCDM (Multi Criteria Decision Making) process against some specified criteria. This paper exhumes to explore the possibility of using several multi criteria decision making processes in warehouse location problem. This survey work introduces MCDM process in many domains to pick the best alternative from where different scope, weight for many criteria are explored. Among various methods, it is found that, by the means of the AHP and TOPSIS method, the evaluation criteria with references to the concerned goal and characteristics with respect to analogous criteria. A case study has been performed by selected MCDM (AHP, TOPSIS) process for analysing collected data. Before going for the calculation this research has done a survey by asking some question to concerned person regarding warehouse selection. From case study, among five warehouses it is found that the first warehouse is suitable which accomplishes all criteria. A validation test for AHP has been performed to verify the result obtained which also supports the result. Finally, this research paper will help to select efficient warehouse and will improve the logistics system.
    VL  - 5
    IS  - 2
    ER  - 

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Author Information
  • Department of Industrial Engineering and Management, Khulna University of Engineering & Technology (KUET), Khulna, Bangladesh

  • Department of Industrial Engineering and Management, Khulna University of Engineering & Technology (KUET), Khulna, Bangladesh

  • Department of Industrial Engineering and Management, Khulna University of Engineering & Technology (KUET), Khulna, Bangladesh

  • Department of Industrial Engineering and Management, Khulna University of Engineering & Technology (KUET), Khulna, Bangladesh

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