Sustainable Warehouse Location Selection in Humanitarian Supply Chain: Multi-Criteria Decision-Making Approach

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

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3