Affiliation:
1. Experimental Teaching Center, Hubei University of Economics, Wuhan 430205, China
2. School of Resource and Environmental Engineering, Wuhan University of Technology, Wuhan 430070, China
Abstract
A large number of massive repair machines are urgently necessary for a post-disaster rescue. These machines also need to be operated by professionals, and the demands require the participation of different industries in the whole society since they cannot be met via the national emergency resource storage system. Therefore, the support of extensive emergency resources from different industries across the entire society is needed in the rescue process, that is, social emergency resource sharing. To achieve this sharing, an emergency resource scheduling model should have the ability to allocate resources from the whole society. However, traditional emergency scheduling models have not considered the suppliers’ willingness to take part in the scheduling activities and their abilities to supply the resources. To solve the above issues, this paper designs a scheduling model for social emergency resource sharing based on an emergency contribution index (SSERS). The emergency contribution index (ECI) can be used to find the enterprises that not only have the ability to provide efficient emergency resources on time but also have the willingness to participate in emergency rescue. The results show that our model effectively optimizes the basic models to some extent and achieves social emergency resource sharing.
Subject
Management, Monitoring, Policy and Law,Renewable Energy, Sustainability and the Environment,Geography, Planning and Development,Building and Construction
Reference32 articles.
1. Research on hierarchical linkage scheduling emergency supplies based on genetic algorithm;Hu;Appl. Res. Comput.,2017
2. Unconventional Emergency Aid Delivery Path Optimization Research;Yan;J. Catastr.,2017
3. Real-Time Relief Distribution in the Aftermath of a Disaster—A Rolling Horizon Approach;Lu;Transp. Res. E-Log.,2019
4. ptimized Travel Emergency Resource Schuding Using Time Vary Rescue Route Travel Time;Chai;Neurocompting,2018
5. Multiple-Objective Ant Colony Algorithm for Optimization Disaster Relief Logistics;Batmetan;Adv. Sci. Lett.,2017