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Decision making for facility location selection using PROMETHEE II method

Author

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  • Vijay Manikrao Athawale
  • Prasenjit Chatterjee
  • Shankar Chakraborty

Abstract

Facility location selection is an important problem in all kinds of businesses, including service and manufacturing organisations. Selecting a location for a new organisation or expansion of an existing facility is a crucial component in the eventual success or failure of the organisation. Proper location selection can be a strategic tool that can significantly improve market share growth and increase customer profitability. The cost associated with acquiring the land and facility construction makes the facility location selection a long-term investment decision. The best facility location is that which results in higher economic benefits through increased productivity and good distribution network. Selecting the proper facility location from a given set of candidate alternatives is a difficult task, as many potential qualitative and quantitative criteria need to be considered. This paper solves two real time facility location selection problems using preference ranking organisation method for enrichment evaluation (PROMETHEE II) method which is observed to an effective multi-criteria decision-making (MCDM) tool often applied to deal with complex problems in the manufacturing environment. The ranking performance of PROMETHEE II method is compared with the other MCDM methods and it is observed that the top-ranked alternatives exactly match with those as obtained by the past researchers.

Suggested Citation

  • Vijay Manikrao Athawale & Prasenjit Chatterjee & Shankar Chakraborty, 2012. "Decision making for facility location selection using PROMETHEE II method," International Journal of Industrial and Systems Engineering, Inderscience Enterprises Ltd, vol. 11(1/2), pages 16-30.
    • Handle: RePEc:ids:ijisen:v:11:y:2012:i:1/2:p:16-30
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    Citations

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    Cited by:

    1. Kenny Baumli & Tooraj Jamasb, 2020. "Assessing Private Investment in African Renewable Energy Infrastructure: A Multi-Criteria Decision Analysis Approach," Sustainability, MDPI, vol. 12(22), pages 1-19, November.
    2. Pınar Miç & Z. Figen Antmen, 2021. "A Decision-Making Model Based on TOPSIS, WASPAS, and MULTIMOORA Methods for University Location Selection Problem," SAGE Open, , vol. 11(3), pages 21582440211, August.
    3. S. Roseline & V. Paramasivam & R. Anandhakrishnan & P. R. Lakshminarayanan, 2019. "Numerical evaluation of zirconium reinforced aluminium matrix composites for sustainable environment," Annals of Operations Research, Springer, vol. 275(2), pages 653-667, April.
    4. Khalid Aljohani, 2023. "Optimizing the Distribution Network of a Bakery Facility: A Reduced Travelled Distance and Food-Waste Minimization Perspective," Sustainability, MDPI, vol. 15(4), pages 1-26, February.
    5. Soo-Yong Kim & Le Dinh Thuc, 2020. "Sustainable Location Selection for Investing in Public–Private Partnership Infrastructure Projects: From a Developing Country’s Perspective," Sustainability, MDPI, vol. 12(15), pages 1-19, July.
    6. Katarina Rogulj & Nikša Jajac & Katja Batinić, 2023. "Flat Roofs Renovation Planning on Public Buildings Using Fuzzy Multi-Criteria Analysis," Sustainability, MDPI, vol. 15(7), pages 1-19, April.

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