Bi-objective multi-resource scheduling problem for emergency relief operations. Issue 14 (26th October 2018)

• Record Type: Journal Article
• Authors: Bodaghi, Behrooz; Palaneeswaran, Ekambaram; Abbasi, Babak
• Is Part Of: Production planning & control. Volume 29:Issue 14(2018)
• Page Start: 1191
• Page End: 1206
• Publication Date: 2018-10-26
• Subjects: Emergency relief operation -- resource scheduling -- mathematical programming -- bi-objective optimization -- disaster management; Production planning -- Periodicals; Production control -- Periodicals; 658.5
• DOI: 10.1080/09537287.2018.1542026
• Languages: English
• ISSNs: 0953-7287

Abstract

Abstract: Resource scheduling for emergency relief operations is complex as it has many constraints. However, an effective allocation and sequencing of resources are crucial for the minimization of the completion times in emergency relief operations. Despite the importance of such decisions, only a few mathematical models of emergency relief operations have been studied. This article presents a bi-objective mixed integer programming (MIP) that helps to minimize both the total weighted time of completion of the demand points and the makespan of the total emergency relief operation. A two-phase method is developed to solve the bi-objective MIP problem. Additionally, a case study of hospital network in the Melbourne metropolitan area is used to evaluate the model. The results indicate that the model can successfully support the decisions required in the optimal resource scheduling of emergency relief operations.