Research Article

Multi Criteria Decision Making Approach to the Evaluation of Humanitarian Relief Warehouses Integrating Fuzzy Logic: A Case Study in Syria

Number: 22 January 31, 2021
TR EN

Multi Criteria Decision Making Approach to the Evaluation of Humanitarian Relief Warehouses Integrating Fuzzy Logic: A Case Study in Syria

Abstract

A new disaster to humanity, called Coronavirus Disease (COVID-19), arose in and spread to worldwide at late December 2019. The most developed countries are affected from this pandemic more. However, the situation is more complex in some countries that are witnessed/witnessing a conflict, as in Syria. In Syria, the conflict continues more than 9 years and within the country there are more than 6 million internally displaced people (IDPs). This situation signifies millions of people living in hard conditions and seeking healthcare service, sheltering, food, safety and other related vital needs. In this context, since during a pandemic supplies and aid kits need to be stockpiled in a humanitarian relief warehouse to be protected and then distributed effectively to the most pandemic-affected people, we focused on the location research of relief warehouses in this study. We evaluated the locations of the relief warehouses to determine the most appropriate location based on a scientific humanitarian aid-based hybrid methodology. This novel methodology is implemented to a real case study in north of Aleppo/Syria. For this aim, firstly, data is collected directly from the target area; then humanitarian and economic criteria are selected by three experts to be included in the study. Criteria weights are computed by the Fuzzy Analytic Hierarchy Process (F-AHP). Finally, MULTIMOORA technique as a Multi Criteria Decision Making (MCDM) method is applied to assess the candidate warehouses and rank them. The proposed methodology showed its efficiency and effectiveness in evaluating relief warehouses and it can be utilized to facilitate the decision-making process. As a result, the suffering of the disaster-affected people can be reduced and high efficiency from donations in the target area can be achieved.

Keywords

References

  1. Aghezzaf, E. (2005). Capacity planning and warehouse location in supply chains with uncertain demands. Journal of the Operational Research Society, 56(4), 453-462. https://doi.org/10.1057/palgrave.jors.2601834
  2. Ballou, R. H. (1968). Dynamic warehouse location analysis. Journal of Marketing Research, 5(3), 271-276. https://doi.org/10.1177/002224376800500304
  3. Brauers, W. K. M., & Zavadskas, E. K. (2006). The MOORA method and its application to privatization in a transition economy. Control and Cybernetics, 35, 445–469.
  4. Brauers, W. K. M., & Zavadskas, E. K. (2010). Project management by MULTIMOORA as an instrument for transition economies. Technological and Economic Development of Economy, 16(1), 5–24. https://doi.org/10.3846/tede.2010.01
  5. Brauers, W. K. M., & Zavadskas, E. K. (2012). Robustness of MULTIMOORA: a method for multi-objective optimization. Informatica, 23(1), 1–25. https://doi.org/10.15388/Informatica.2012.346
  6. Brauers, W. K. M., & Zavadskas, E. K. (2013). Multi-objective decision making with a large number of objectives:. An application for Europe. International Journal of Operations Research , 10(2), 67-79. https://doi.org/10.15388/Informatica.2012.346
  7. Buckley, J. J. (1985). Ranking alternatives using fuzzy numbers. Fuzzy Sets and Systems, 15(1), 21-31. https://doi.org/10.1016/0165-0114(85)90013-2
  8. Chatterjee, K., & Kar, S. (2013, December). An Induced Fuzzy Rasch-VIKOR model for Warehouse Location evaluation under Risky Supply chain. In International Conference on Pattern Recognition and Machine Intelligence (pp. 714-719). Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-45062-4_101

Details

Primary Language

English

Subjects

Engineering

Journal Section

Research Article

Publication Date

January 31, 2021

Submission Date

December 30, 2020

Acceptance Date

January 6, 2021

Published in Issue

Year 2021 Number: 22

APA
Hallak, J., & Miç, P. (2021). Multi Criteria Decision Making Approach to the Evaluation of Humanitarian Relief Warehouses Integrating Fuzzy Logic: A Case Study in Syria. Avrupa Bilim Ve Teknoloji Dergisi, 22, 71-80. https://doi.org/10.31590/ejosat.850693

Cited By