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Critical Decision-Making Issues in Disaster Relief Supply Management: A Review.
Ma, Ke; Yan, Hong; Ye, Yusen; Zhou, Dao; Ma, Dongce.
  • Ma K; Business School, Sichuan University, Chengdu, Sichuan 610017, China.
  • Yan H; School of Management, Zhejiang Shuren University, Hangzhou, Zhejiang 310015, China.
  • Ye Y; Institute for Disaster Management and Reconstruction, Sichuan University, Chengdu, Sichuan 610017, China.
  • Zhou D; Michael Page (Shanghai) Recruitment Co., Ltd, Shenzhen Branch, Shenzhen, Guangdong, 518000, China.
  • Ma D; Meishan Management Committee of Sichuan Tianfu New Area, Meishan, Sichuan 620000, China.
Comput Intell Neurosci ; 2022: 1105839, 2022.
Article in English | MEDLINE | ID: covidwho-1950360
ABSTRACT
This paper comprehensively reviews the literature related to disaster relief supply management in recent years by taking the perspectives of three critical decision-making issues, i.e., coordination issues, facility location decisions, and inventory decisions. For each decision-making issue discussed, we clarify the barriers of current research papers and identify the major challenges and critical factors that should be considered. In the following, we present the perspectives on the road of coordination between multiple relief actors, characterize the location decisions of relief facilities with a variety of optimization objectives, and emphasize the importance of relief supply varieties and critical factors in the decisions of disaster relief inventories. Future research directions are recommended for further discussions.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: Disaster Planning / Disasters Language: English Journal: Comput Intell Neurosci Journal subject: Medical Informatics / Neurology Year: 2022 Document Type: Article Affiliation country: 2022

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Full text: Available Collection: International databases Database: MEDLINE Main subject: Disaster Planning / Disasters Language: English Journal: Comput Intell Neurosci Journal subject: Medical Informatics / Neurology Year: 2022 Document Type: Article Affiliation country: 2022