Robust dual sourcing inventory routing optimization for disaster relief.

This paper considers the problem that a depot replenishes several shelters by aerial and land transportation modes for disaster relief. There are two distinguishing features of our problem: one is routing decisions determine replenishment lead times; the other is that we introduce dual sourcing poli...

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Main Authors: Weibo Zheng, Hong Zhou
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2023-01-01
Series:PLoS ONE
Online Access:https://doi.org/10.1371/journal.pone.0284971
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author Weibo Zheng
Hong Zhou
author_facet Weibo Zheng
Hong Zhou
author_sort Weibo Zheng
collection DOAJ
description This paper considers the problem that a depot replenishes several shelters by aerial and land transportation modes for disaster relief. There are two distinguishing features of our problem: one is routing decisions determine replenishment lead times; the other is that we introduce dual sourcing policy into the inventory routing problem. A robust optimization model is proposed to determine the optimal replenishment quantity, replenishment mode, and transportation routes. Then, we decompose the problem into a routing master-problem and a set of inventory sub-problems. A tractable closed-form solution for sub-problem is derived. We further develop an adaptive large neighborhood search algorithm to solve the problem. To demonstrate the feasibility of the algorithm, we conduct a series of numerical experiments on the benchmark test suite with different scales and compare the performance of the proposed algorithm with a genetic algorithm.
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spelling doaj.art-e34769d928fe41069aaeca7b293792d12023-05-13T05:31:23ZengPublic Library of Science (PLoS)PLoS ONE1932-62032023-01-01184e028497110.1371/journal.pone.0284971Robust dual sourcing inventory routing optimization for disaster relief.Weibo ZhengHong ZhouThis paper considers the problem that a depot replenishes several shelters by aerial and land transportation modes for disaster relief. There are two distinguishing features of our problem: one is routing decisions determine replenishment lead times; the other is that we introduce dual sourcing policy into the inventory routing problem. A robust optimization model is proposed to determine the optimal replenishment quantity, replenishment mode, and transportation routes. Then, we decompose the problem into a routing master-problem and a set of inventory sub-problems. A tractable closed-form solution for sub-problem is derived. We further develop an adaptive large neighborhood search algorithm to solve the problem. To demonstrate the feasibility of the algorithm, we conduct a series of numerical experiments on the benchmark test suite with different scales and compare the performance of the proposed algorithm with a genetic algorithm.https://doi.org/10.1371/journal.pone.0284971
spellingShingle Weibo Zheng
Hong Zhou
Robust dual sourcing inventory routing optimization for disaster relief.
PLoS ONE
title Robust dual sourcing inventory routing optimization for disaster relief.
title_full Robust dual sourcing inventory routing optimization for disaster relief.
title_fullStr Robust dual sourcing inventory routing optimization for disaster relief.
title_full_unstemmed Robust dual sourcing inventory routing optimization for disaster relief.
title_short Robust dual sourcing inventory routing optimization for disaster relief.
title_sort robust dual sourcing inventory routing optimization for disaster relief
url https://doi.org/10.1371/journal.pone.0284971
work_keys_str_mv AT weibozheng robustdualsourcinginventoryroutingoptimizationfordisasterrelief
AT hongzhou robustdualsourcinginventoryroutingoptimizationfordisasterrelief