An Optimization Model for Resilient Service Systems
The best service systems arent just cost-effective.They also respond quickly,handle smoothly and recover promptly from disruptions.This paper proposes a linear piece-wise recovery function and applies it to the decision-making processes of improving a service systems resilience to disasters.A numeric example is developed to demonstrate the proposed model enables tradeoff between a cost minimum system and a resilient system.
Resilient systems network flow optimization emergency management mathematic programming
Jing Gong Frankie Chau
School of Emergency Management Jinan University Guangzhou,China Business School Durham University Durham,UK
国际会议
重庆
英文
350-354
2017-10-03(万方平台首次上网日期,不代表论文的发表时间)