Title: A bi-objective model for humanitarian logistics network design in response to post-disaster

Authors: Mahshid Zanganeh; Sadoullah Ebrahimnejad; Amirhossein Moosavi; Hamed Tayebi

Addresses: Department of Industrial Engineering, Karaj Branch, Islamic Azad University, Karaj, Iran ' Department of Industrial Engineering, Karaj Branch, Islamic Azad University, Karaj, Iran ' Department of Industrial Engineering, Karaj Branch, Islamic Azad University, Karaj, Iran ' Department of Industrial Engineering, Karaj Branch, Islamic Azad University, Karaj, Iran

Abstract: Disaster management is a broad topic consist various operations to recover victim regions of natural disasters, such as disaster relief (DR) and post-disaster operations. Regarding the considerable importance of sufficient and on time assistance for affected people, this paper investigates the humanitarian logistics network design (HLND) that allocates and distributes the DR resources to affected areas. In this study, a bi-objective mixed integer linear programming (MILP) model has been proposed that maximises lifesaving utility function of wounded people and minimises the consequences of aiding to affected people with delay. Since the required data for decision-making are changing over the time, rolling horizon approach and time-space network have been linked to each other in order to deal with the dynamic essence of this problem. Eventually, we have studied a real case study of Sichuan to evaluate the proposed MILP model. According to the computational results, assignment of DR resources satisfies 57.4%, 43.8%, 57.5% and 14.6% of the demands in Dujiangyan, Wenchuan, Beichuan, and Qingchuan cities only 20 hours after the natural disaster, respectively.

Keywords: resource allocation and distribution; humanitarian logistic; disaster management; rolling horizon approach; time-space network.

DOI: 10.1504/IJLSM.2019.100115

International Journal of Logistics Systems and Management, 2019 Vol.33 No.2, pp.256 - 279

Received: 04 Feb 2017
Accepted: 29 Oct 2017
Published online: 09 Jun 2019 *

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