Sustainable Warehouse Location Selection in Humanitarian Supply Chain: Multi-Criteria Decision-Making Approach
-
Published:2023-04-01
Issue:2
Volume:8
Page:316-335
-
ISSN:2455-7749
-
Container-title:International Journal of Mathematical, Engineering and Management Sciences
-
language:en
-
Short-container-title:Int. j. math. eng. manag. sci.
Author:
Mittal Rubina1, Obaid Amna2
Affiliation:
1. Department of Mathematics and Operational Research, Keshav Mahavidyalaya, University of Delhi, Delhi, India. 2. Department of Operational Research, University of Delhi, Delhi, India.
Abstract
The frequency of catastrophic natural disasters is rising, and much emphasis is being given to the Humanitarian Supply chain (HSC). The main goal of relief efforts is to get enough emergency supplies to the area hit by the disaster as quickly as possible. The decision of where to locate warehouses that will store relief supplies presents a significant obstacle for humanitarian relief organizations as they work to enhance their capacity for providing aid and their rescue plan. A non-optimal location could make the search and rescue efforts harder. More importantly, it has been seen that when these kinds of geographical sites are evaluated, social and environmental issues are not considered. This research paper aims to make humanitarian networks more accountable by determining the ideal warehouse site and considering both traditional and sustainable factors. A framework for selecting warehouses to keep relief goods was devised using the Multi-Criteria Decision Making (MCDM) approach. Best-Worst and TOPSIS (“Technique for Order Performance by Similarity to the Ideal Solution”) methods were used to rank the potential locations based on Cost, Logistics, Environmental, and Social Criteria. A research study has been done in the State of West Bengal (District Arambagh).
Publisher
Ram Arti Publishers
Subject
General Engineering,General Business, Management and Accounting,General Mathematics,General Computer Science
Reference46 articles.
1. Ak, M.F., & Derya, A.C.A.R. (2021). Selection of humanitarian supply chain warehouse location: A case study based on the MCDM methodology. Avrupa Bilim ve Teknoloji Dergisi, 22, 400-409. 2. Anand, N., Yang, M., van Duin, J.R., & Tavasszy, L. (2012). GenCLOn: An ontology for city logistics. Expert Systems with Applications, 39(15), 11944-11960. 3. Ashrafzadeh, M., Rafiei, F.M., Isfahani, N.M., & Zare, Z. (2012). Application of fuzzy TOPSIS method for the selection of warehouse location: A case study. Interdisciplinary Journal of Contemporary Research in Business, 3(9), 655-671. 4. Balcik, B., & Beamon, B.M. (2008). Facility location in humanitarian relief. International Journal of Logistics, 11(2), 101-121. 5. Bortfeldt, A., & Mack, D. (2007). A heuristic for the three-dimensional strip packing problem. European Journal of Operational Research, 183(3), 1267-1279.
Cited by
3 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献
|
|