Disaster Management from a POM Perspective: Mapping a New Domain

• 成果类型: Article
• 署名作者: Gupta, Sushil; Starr, Martin K.; Farahani, Reza Zanjirani; Matinrad, Niki
• 署名单位: State University System of Florida; Florida International University; Rollins College; Kingston University; K. N. Toosi University of Technology
• 刊物名称: PRODUCTION AND OPERATIONS MANAGEMENT
• ISSN/ISSBN: 1059-1478
• DOI: 10.1111/poms.12591
• 发表日期: 2016
• 页码: 1611-1637
• 关键词: disaster management; humanitarian logistics; Supply chains; prevention and mitigation; evacuation; casualties; RECOVERY; restoration; Federal Emergency Management Agency

摘要

We have reviewed disaster management research papers published in major operations management, management science, operations research, supply chain management and transportation/logistics journals. In reviewing these studies, our objective is to assess and present the macro level architectural blue print of disaster management research with the hope that it will attract new researchers and motivate established researchers to contribute to this important field. The secondary objective is to bring this disaster research to the attention of disaster administrators so that disasters are managed more efficiently and more effectively. We have mapped the disaster management research on the following five attributes of a disaster: (1) Disaster Management Function (decision-making process, prevention and mitigation, evacuation, humanitarian logistics, casualty management, and recovery and restoration), (2) Time of Disaster (before, during and after), (3) Type of Disaster (accidents, earthquakes, floods, hurricanes, landslides, terrorism and wildfires etc.), (4) Data Type (Field and Archival data, Real data and Hypothetical data), and (5) Data Analysis Technique (bidding models, decision analysis, expert systems, fuzzy system analysis, game theory, heuristics, mathematical programming, network flow models, queueing theory, simulation and statistical analysis). We have done cross tabulations of data among these five parameters to gain greater insights into disaster research. Recommendations for future research are provided.