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. 2022 Sep 7;19(18):11255.
doi: 10.3390/ijerph191811255.

Emergency Relief Chain for Natural Disaster Response Based on Government-Enterprise Coordination

Feiyue Wang  1 , Ziling Xie  1 , Zhongwei Pei  2 , Dingli Liu  3
Affiliations

Emergency Relief Chain for Natural Disaster Response Based on Government-Enterprise Coordination

Feiyue Wang et al. Int J Environ Res Public Health. .

Abstract

Public health and effective risk response cannot be promoted without a coordinated emergency process during a natural disaster. One primary problem with the emergency relief chain is the homogeneous layout of rescue organizations and reserves. There is a need for government-enterprise coordination to enhance the systemic resilience and demand orientation. Therefore, a bi-level multi-phase emergency plan model involving procurement, prepositioning and allocation is proposed. The tradeoff of efficiency, economy and fairness is offered through the multi-objective cellular genetic algorithm (MOCGA). The flood emergency in Hunan Province, China is used as a case study. The impact of multi-objective and coordination mechanisms on the relief chain is discussed. The results show that there is a significant boundary condition for the coordinated location strategy of emergency facilities and that further government coordination over the transition phase can generate optimal relief benefits. Demand orientation is addressed by the proposed model and MOCGA, with the realization of the process coordination in multiple reserves, optimal layout, and transition allocation. The emergency relief chain based on government-enterprise coordination that adapts to the evolution of disasters can provide positive actions for integrated precaution and health security.

Keywords: emergency relief chain; government-enterprise; process coordination; transition allocation.

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Conflict of interest statement

The authors declare no conflict of interest.

Figures

Figure 1
Figure 1
Structure of the emergency relief chain.
Figure 2
Figure 2
Quantity discount and time discount.
Figure 3
Figure 3
Phased resource benefits.
Figure 4
Figure 4
Coordination location of government warehouses and contract enterprises.
Figure 5
Figure 5
Three-phase resource allocation.
Figure 6
Figure 6
The procedure of MOCGA.
Figure 7
Figure 7
Fitness assessment of non-dominated sorting.
Figure 8
Figure 8
Cases of flood rainfall in Hunan Province, China.
Figure 9
Figure 9
Location strategies between multi-objective and the single coverage.
Figure 10
Figure 10
Layout fluctuations in terms of G4.
Figure 11
Figure 11
Emergency network design and facility layout.
Figure 12
Figure 12
Allocation proportion under the influence of environmental factors.
Figure 12
Figure 12
Allocation proportion under the influence of environmental factors.
Figure 13
Figure 13
Impact of coordination mechanisms.
Figure 14
Figure 14
Price factors.
Figure 15
Figure 15
Coordination level.
See this image and copyright information in PMC

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