Multi-Objective Optimization Model of Emergency Organization Allocation for Sustainable Disaster Supply Chain

Cejun Cao, Congdong Li, Qin Yang and Fanshun Zhang
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Cejun Cao: College of Management and Economics, Tianjin University, Tianjin 300072, China
Congdong Li: College of Management and Economics, Tianjin University, Tianjin 300072, China
Qin Yang: School of Business, Sichuan Normal University, Chengdu 610101, China
Fanshun Zhang: School of Management, Jinan University, Guangzhou 510632, China

Sustainability, 2017, vol. 9, issue 11, 1-22

Abstract: To mitigate or reduce various losses and improve efficiency of disaster response, the focus of this paper is to design optimized strategies of emergency organization allocation regarding sustainability. Firstly, an integrated framework including several elements such as emergency organization, task, decision-agents, environment and their relations is developed from a systematic perspective. Then, this problem is formulated as a novel multi-objective 0–1 integer programming model to minimize total weighted completion times, total carbon emissions and total emergency costs. Next, branch and bound approach and handling strategies for multiple objectives are designed to solve this model. Finally, a case study from the Wenchuan earthquake is presented to illustrate the proposed model and solution strategies. Computational results demonstrate their significant potential advantages on allocating emergency organization from the perspectives of best practice, objective functions, preferences of decision-agents, and problem size.

Keywords: sustainable disaster supply chain; emergency organization allocation; integrated framework; carbon emissions; multi-objective programming model; branch and bound approach (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2017
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (11)

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