Integrated post-disaster medical assistance team scheduling and relief supply distribution
Purpose: The purpose of this paper is to solve a post-disaster humanitarian logistics problem in which medical assistance teams are dispatched and the relief supplies are distributed among demand points. Design/methodology/approach: A mixed integer-programming model and a two-stage hybrid metaheuristic method are developed to solve the problem. Problem instances of various sizes as well as a numerical example based on the 2016 Kyushu Earthquake in Japan are used to test the proposed model and algorithm. Findings: Computational results based on comparisons with the state-of-the-art commercial software show that the proposed approach can quickly find near-optimal solutions, which is highly desirable in emergency situations. Research limitations/implications: Real data of the parameters of the model are difficult to obtain. Future collaborations with organizations such as Red Cross and Federal Emergency Management Agency can be extremely helpful in collecting data in humanitarian logistics research. Practical implications: The proposed model and algorithm can help governments and non-governmental organizations (NGOs) to effectively and efficiently allocate and coordinate different types of humanitarian relief resources, especially when these resources are limited. Originality/value: This paper is among the first ones to consider both medical team scheduling (routing) and relief aid distribution as decision variables in the humanitarian logistics field. The contributions include developing a mathematical model and a heuristic algorithm, illustrating the model and algorithm using a numerical example, and providing a decision support tool for governments and NGOs to manage the relief resources in disasters.
Year of publication: |
2018
|
---|---|
Authors: | Wang, Shengbin ; Liu, Feng ; Lian, Lian ; Hong, Yuan ; Chen, Haozhe |
Published in: |
The International Journal of Logistics Management. - Emerald, ISSN 0957-4093, ZDB-ID 2069452-0. - Vol. 29.2018, 4 (05.06.), p. 1279-1305
|
Publisher: |
Emerald |
Saved in:
Online Resource
Saved in favorites
Similar items by person
-
On the robust and stable flowshop scheduling under stochastic and dynamic disruptions
Liu, Feng, (2017)
-
A survey of privacy-aware supply chain collaboration : from theory to applications
Hong, Yuan, (2014)
-
A distance matrix based algorithm for solving the traveling salesman problem
Wang, Shengbin, (2020)
- More ...