Bi-objective multi-resource scheduling problem for emergency relief operations

Bodaghib, B, Palaneeswaran, E and Abbasi, B 2018, 'Bi-objective multi-resource scheduling problem for emergency relief operations', Production Planning and Control, vol. 29, no. 14, pp. 1191-1206.

Document type: Journal Article
Collection: Journal Articles

Title Bi-objective multi-resource scheduling problem for emergency relief operations
Author(s) Bodaghib, B
Palaneeswaran, E
Abbasi, B
Year 2018
Journal name Production Planning and Control
Volume number 29
Issue number 14
Start page 1191
End page 1206
Total pages 16
Publisher Taylor & Francis
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.
Subject Operations Research
Logistics and Supply Chain Management
Keyword(s) bi-objective optimization
disaster management
Emergency relief operation
mathematical programming
resource scheduling
DOI - identifier 10.1080/09537287.2018.1542026
Copyright notice © 2019 Informa UK Limited, trading as Taylor & Francis Group.
ISSN 0953-7287
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