The location-inventory model with risk pooling and split demand

In the traditional location-inventory system, every demand depot could be served by only one distribution center (DC). This paper relaxes the assumption. The demand depot could be split and served by more than one DC. First, based on the capacitated location-inventory model, the location-inventory m...

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Autores principales:	Hao Xiong, Huili Yan
Formato:	article
Lenguaje:	EN
Publicado:	Taylor & Francis Group 2019
Materias:	location-inventory genetic heuristic algorithm split demand safety inventory Business HF5001-6182 Management. Industrial management HD28-70
Acceso en línea:	https://doaj.org/article/d274d56c1e6a43219b9af708c8cadb4f
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id	oai:doaj.org-article:d274d56c1e6a43219b9af708c8cadb4f
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spelling	oai:doaj.org-article:d274d56c1e6a43219b9af708c8cadb4f2021-12-02T16:42:11ZThe location-inventory model with risk pooling and split demand2331-197510.1080/23311975.2019.1691337https://doaj.org/article/d274d56c1e6a43219b9af708c8cadb4f2019-01-01T00:00:00Zhttp://dx.doi.org/10.1080/23311975.2019.1691337https://doaj.org/toc/2331-1975In the traditional location-inventory system, every demand depot could be served by only one distribution center (DC). This paper relaxes the assumption. The demand depot could be split and served by more than one DC. First, based on the capacitated location-inventory model, the location-inventory model with split demand is presented. Second, the advantage of permitting split and the properties of split are analyzed. Third, in order to solve this new model, a two-phase genetic heuristic algorithm with priority allocating method based on an approximate individual allocating cost are proposed. The results of numerical experiments are compared with non-split version and an important conclusion is illustrated: a small number of split points can make significant cost savings. The results of this study provide a useful reference for location-inventory decision.Hao XiongHuili YanTaylor & Francis Grouparticlelocation-inventorygenetic heuristic algorithmsplit demandsafety inventoryBusinessHF5001-6182Management. Industrial managementHD28-70ENCogent Business & Management, Vol 6, Iss 1 (2019)
institution	DOAJ
collection	DOAJ
language	EN
topic	location-inventory genetic heuristic algorithm split demand safety inventory Business HF5001-6182 Management. Industrial management HD28-70
spellingShingle	location-inventory genetic heuristic algorithm split demand safety inventory Business HF5001-6182 Management. Industrial management HD28-70 Hao Xiong Huili Yan The location-inventory model with risk pooling and split demand
description	In the traditional location-inventory system, every demand depot could be served by only one distribution center (DC). This paper relaxes the assumption. The demand depot could be split and served by more than one DC. First, based on the capacitated location-inventory model, the location-inventory model with split demand is presented. Second, the advantage of permitting split and the properties of split are analyzed. Third, in order to solve this new model, a two-phase genetic heuristic algorithm with priority allocating method based on an approximate individual allocating cost are proposed. The results of numerical experiments are compared with non-split version and an important conclusion is illustrated: a small number of split points can make significant cost savings. The results of this study provide a useful reference for location-inventory decision.
format	article
author	Hao Xiong Huili Yan
author_facet	Hao Xiong Huili Yan
author_sort	Hao Xiong
title	The location-inventory model with risk pooling and split demand
title_short	The location-inventory model with risk pooling and split demand
title_full	The location-inventory model with risk pooling and split demand
title_fullStr	The location-inventory model with risk pooling and split demand
title_full_unstemmed	The location-inventory model with risk pooling and split demand
title_sort	location-inventory model with risk pooling and split demand
publisher	Taylor & Francis Group
publishDate	2019
url	https://doaj.org/article/d274d56c1e6a43219b9af708c8cadb4f
work_keys_str_mv	AT haoxiong thelocationinventorymodelwithriskpoolingandsplitdemand AT huiliyan thelocationinventorymodelwithriskpoolingandsplitdemand AT haoxiong locationinventorymodelwithriskpoolingandsplitdemand AT huiliyan locationinventorymodelwithriskpoolingandsplitdemand
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The location-inventory model with risk pooling and split demand

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