Two-Stage Multi-Objective Stochastic Model on Patient Transfer and Relief Distribution in Lockdown Area of COVID-19

Shengjie Long, Dezhi Zhang (), Shuangyan Li and Shuanglin Li
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Shengjie Long: School of Traffic and Transportation Engineering, Central South University, Changsha 410075, China
Dezhi Zhang: School of Traffic and Transportation Engineering, Central South University, Changsha 410075, China
Shuangyan Li: College of Logistics and Transportation, Central South University of Forestry and Technology, Changsha 410004, China
Shuanglin Li: School of Traffic and Transportation Engineering, Central South University, Changsha 410075, China

IJERPH, 2023, vol. 20, issue 3, 1-25

Abstract: The outbreak of an epidemic disease may cause a large number of infections and a slightly higher death rate. In response to epidemic disease, both patient transfer and relief distribution are significant to reduce corresponding damage. This study proposes a two-stage multi-objective stochastic model (TMS-PTRD) considering pre-pandemic preparedness measures and post-pandemic relief operations. The proposed model considers the following four objectives: the total number of untreated infected patients, the total transfer time, the overall cost, and the equity distribution of relief supplies. Before an outbreak, the locations of temporary relief distribution centers (TRDCs) and the inventory levels of established TRDCs should be determined. After an outbreak, the locations of temporary hospitals (THs), the locations of designated hospitals (DHs), the transfer plans for patients, and the relief distribution should be determined. To solve the TMS-PTRD model, we address an improved preference-inspired co-evolutionary algorithm named the PICEA-g-AKNN algorithm, which is embedded with a novel similarity distance and three different tailored evolutionary strategies. A real-world case study of Hunan of China and 18 test instances are randomly generated to evaluate the TMS-PTRD model. The finding shows that the PICEA-g-AKNN algorithm is better than some most widely used multi-objective algorithms.

Keywords: patient transfer; relief distribution; two-stage stochastic model; multi-objective optimization (search for similar items in EconPapers)
JEL-codes: I I1 I3 Q Q5 (search for similar items in EconPapers)
Date: 2023
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