Robust Optimization of the Multi-Objective Multi-Period Location-Routing Problem for Epidemic Logistics System With Uncertain Demand

The effective distribution of relief to an emergency logistics system plays a crucial role during the disaster response phase. Considering stochastic characteristics of relief demand, this study investigates the robust optimization of a multi-objective multi-period location-routing problem for epide...

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Autores principales:	Shengjie Long, Dezhi Zhang, Yijing Liang, Shuangyan Li, Wanru Chen
Formato:	article
Lenguaje:	EN
Publicado:	IEEE 2021
Materias:	Epidemic logistics robust optimization location-routing problem multi-objective optimization improved heuristic algorithm Electrical engineering. Electronics. Nuclear engineering TK1-9971
Acceso en línea:	https://doaj.org/article/349f04c864e14807b79ca7286b9ea197
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id	oai:doaj.org-article:349f04c864e14807b79ca7286b9ea197
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spelling	oai:doaj.org-article:349f04c864e14807b79ca7286b9ea1972021-11-18T00:01:08ZRobust Optimization of the Multi-Objective Multi-Period Location-Routing Problem for Epidemic Logistics System With Uncertain Demand2169-353610.1109/ACCESS.2021.3125746https://doaj.org/article/349f04c864e14807b79ca7286b9ea1972021-01-01T00:00:00Zhttps://ieeexplore.ieee.org/document/9605259/https://doaj.org/toc/2169-3536The effective distribution of relief to an emergency logistics system plays a crucial role during the disaster response phase. Considering stochastic characteristics of relief demand, this study investigates the robust optimization of a multi-objective multi-period location-routing problem for epidemic logistics, a special emergency logistics, with uncertain scenarios. A corresponding robust multi-objective multi-period optimization model is proposed, which aims to determine the optimal location of temporary relief distribution centres and route planning simultaneously. The optimization objectives include the total travel time, the total cost, and the disutility of relief service. To solve the above optimization model, a preference-inspired co-evolutionary algorithm with Tchebycheff decomposition (PICEA-g-td) is given. The performance of the proposed PICEA-g-td is evaluated by comparing it with NSGA-II, MOEA/D and PICEA-g. The experimental results show that the proposed algorithm performs better than the other three algorithms in terms of the solution quality. Finally, some useful management insights are obtained.Shengjie LongDezhi ZhangYijing LiangShuangyan LiWanru ChenIEEEarticleEpidemic logisticsrobust optimizationlocation-routing problemmulti-objective optimizationimproved heuristic algorithmElectrical engineering. Electronics. Nuclear engineeringTK1-9971ENIEEE Access, Vol 9, Pp 151912-151930 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Epidemic logistics robust optimization location-routing problem multi-objective optimization improved heuristic algorithm Electrical engineering. Electronics. Nuclear engineering TK1-9971
spellingShingle	Epidemic logistics robust optimization location-routing problem multi-objective optimization improved heuristic algorithm Electrical engineering. Electronics. Nuclear engineering TK1-9971 Shengjie Long Dezhi Zhang Yijing Liang Shuangyan Li Wanru Chen Robust Optimization of the Multi-Objective Multi-Period Location-Routing Problem for Epidemic Logistics System With Uncertain Demand
description	The effective distribution of relief to an emergency logistics system plays a crucial role during the disaster response phase. Considering stochastic characteristics of relief demand, this study investigates the robust optimization of a multi-objective multi-period location-routing problem for epidemic logistics, a special emergency logistics, with uncertain scenarios. A corresponding robust multi-objective multi-period optimization model is proposed, which aims to determine the optimal location of temporary relief distribution centres and route planning simultaneously. The optimization objectives include the total travel time, the total cost, and the disutility of relief service. To solve the above optimization model, a preference-inspired co-evolutionary algorithm with Tchebycheff decomposition (PICEA-g-td) is given. The performance of the proposed PICEA-g-td is evaluated by comparing it with NSGA-II, MOEA/D and PICEA-g. The experimental results show that the proposed algorithm performs better than the other three algorithms in terms of the solution quality. Finally, some useful management insights are obtained.
format	article
author	Shengjie Long Dezhi Zhang Yijing Liang Shuangyan Li Wanru Chen
author_facet	Shengjie Long Dezhi Zhang Yijing Liang Shuangyan Li Wanru Chen
author_sort	Shengjie Long
title	Robust Optimization of the Multi-Objective Multi-Period Location-Routing Problem for Epidemic Logistics System With Uncertain Demand
title_short	Robust Optimization of the Multi-Objective Multi-Period Location-Routing Problem for Epidemic Logistics System With Uncertain Demand
title_full	Robust Optimization of the Multi-Objective Multi-Period Location-Routing Problem for Epidemic Logistics System With Uncertain Demand
title_fullStr	Robust Optimization of the Multi-Objective Multi-Period Location-Routing Problem for Epidemic Logistics System With Uncertain Demand
title_full_unstemmed	Robust Optimization of the Multi-Objective Multi-Period Location-Routing Problem for Epidemic Logistics System With Uncertain Demand
title_sort	robust optimization of the multi-objective multi-period location-routing problem for epidemic logistics system with uncertain demand
publisher	IEEE
publishDate	2021
url	https://doaj.org/article/349f04c864e14807b79ca7286b9ea197
work_keys_str_mv	AT shengjielong robustoptimizationofthemultiobjectivemultiperiodlocationroutingproblemforepidemiclogisticssystemwithuncertaindemand AT dezhizhang robustoptimizationofthemultiobjectivemultiperiodlocationroutingproblemforepidemiclogisticssystemwithuncertaindemand AT yijingliang robustoptimizationofthemultiobjectivemultiperiodlocationroutingproblemforepidemiclogisticssystemwithuncertaindemand AT shuangyanli robustoptimizationofthemultiobjectivemultiperiodlocationroutingproblemforepidemiclogisticssystemwithuncertaindemand AT wanruchen robustoptimizationofthemultiobjectivemultiperiodlocationroutingproblemforepidemiclogisticssystemwithuncertaindemand
_version_	1718425216557776896

Robust Optimization of the Multi-Objective Multi-Period Location-Routing Problem for Epidemic Logistics System With Uncertain Demand

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