A Robust Two-Stage Stochastic Location-Routing-Inventory Model for Perishable Items

The aim of this study is to develop a robust two-stage stochastic location-routing-inventory model for perishable items. The proposed model is implemented in a two-stage structure. The first-stage decisions determine the establishment of distribution centres and the second-stage decisions identify t...

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Autores principales:	Shima Harati*, Emad Roghanian, Ashkan Hafezalkotob, Amir Abbas Shojaie
Formato:	article
Lenguaje:	EN
Publicado:	Faculty of Mechanical Engineering in Slavonski Brod, Faculty of Electrical Engineering in Osijek, Faculty of Civil Engineering in Osijek 2021
Materias:	Inventory Locating Perishable items Robust two-stage stochastic model Routing Engineering (General). Civil engineering (General) TA1-2040
Acceso en línea:	https://doaj.org/article/ba178c3375934de288ad1d3ea21dad36
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id	oai:doaj.org-article:ba178c3375934de288ad1d3ea21dad36
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spelling	oai:doaj.org-article:ba178c3375934de288ad1d3ea21dad362021-11-07T00:36:16ZA Robust Two-Stage Stochastic Location-Routing-Inventory Model for Perishable Items1330-36511848-6339https://doaj.org/article/ba178c3375934de288ad1d3ea21dad362021-01-01T00:00:00Zhttps://hrcak.srce.hr/file/383615https://doaj.org/toc/1330-3651https://doaj.org/toc/1848-6339The aim of this study is to develop a robust two-stage stochastic location-routing-inventory model for perishable items. The proposed model is implemented in a two-stage structure. The first-stage decisions determine the establishment of distribution centres and the second-stage decisions identify the other variables of the problem. In order to reduce the effect of different scenarios on the outputs of the problem, the two-stage model is developed to a robust model. Two variability criteria called 'Partial Lower Deviation from Mean' (PLDM) and 'Partial Lower Deviation from Target' (PLDT) are considered for the problem. This robust model can manage the variability of different scenarios considering the variability needed for the problem. The summary of the results of the models indicate that the supply cost, the setup cost, the vehicle supply cost, and the production cost comprise 55%, 28%, 3%, and 14% of the total costs of the supply chain, respectively. Similarly, the ratio of net profit margin to the total revenue of the supply chain derived from the division of the objective function by the revenue function is 15%. Among free, fresher first, older first, and mixed policies, the free policy provides the decision maker with more profit than the other three policies since it imposes less constraints on the model.Shima Harati*Emad RoghanianAshkan HafezalkotobAmir Abbas ShojaieFaculty of Mechanical Engineering in Slavonski Brod, Faculty of Electrical Engineering in Osijek, Faculty of Civil Engineering in Osijek articleInventoryLocatingPerishable itemsRobust two-stage stochastic modelRoutingEngineering (General). Civil engineering (General)TA1-2040ENTehnički Vjesnik, Vol 28, Iss 6, Pp 1989-1995 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Inventory Locating Perishable items Robust two-stage stochastic model Routing Engineering (General). Civil engineering (General) TA1-2040
spellingShingle	Inventory Locating Perishable items Robust two-stage stochastic model Routing Engineering (General). Civil engineering (General) TA1-2040 Shima Harati* Emad Roghanian Ashkan Hafezalkotob Amir Abbas Shojaie A Robust Two-Stage Stochastic Location-Routing-Inventory Model for Perishable Items
description	The aim of this study is to develop a robust two-stage stochastic location-routing-inventory model for perishable items. The proposed model is implemented in a two-stage structure. The first-stage decisions determine the establishment of distribution centres and the second-stage decisions identify the other variables of the problem. In order to reduce the effect of different scenarios on the outputs of the problem, the two-stage model is developed to a robust model. Two variability criteria called 'Partial Lower Deviation from Mean' (PLDM) and 'Partial Lower Deviation from Target' (PLDT) are considered for the problem. This robust model can manage the variability of different scenarios considering the variability needed for the problem. The summary of the results of the models indicate that the supply cost, the setup cost, the vehicle supply cost, and the production cost comprise 55%, 28%, 3%, and 14% of the total costs of the supply chain, respectively. Similarly, the ratio of net profit margin to the total revenue of the supply chain derived from the division of the objective function by the revenue function is 15%. Among free, fresher first, older first, and mixed policies, the free policy provides the decision maker with more profit than the other three policies since it imposes less constraints on the model.
format	article
author	Shima Harati* Emad Roghanian Ashkan Hafezalkotob Amir Abbas Shojaie
author_facet	Shima Harati* Emad Roghanian Ashkan Hafezalkotob Amir Abbas Shojaie
author_sort	Shima Harati*
title	A Robust Two-Stage Stochastic Location-Routing-Inventory Model for Perishable Items
title_short	A Robust Two-Stage Stochastic Location-Routing-Inventory Model for Perishable Items
title_full	A Robust Two-Stage Stochastic Location-Routing-Inventory Model for Perishable Items
title_fullStr	A Robust Two-Stage Stochastic Location-Routing-Inventory Model for Perishable Items
title_full_unstemmed	A Robust Two-Stage Stochastic Location-Routing-Inventory Model for Perishable Items
title_sort	robust two-stage stochastic location-routing-inventory model for perishable items
publisher	Faculty of Mechanical Engineering in Slavonski Brod, Faculty of Electrical Engineering in Osijek, Faculty of Civil Engineering in Osijek
publishDate	2021
url	https://doaj.org/article/ba178c3375934de288ad1d3ea21dad36
work_keys_str_mv	AT shimaharati arobusttwostagestochasticlocationroutinginventorymodelforperishableitems AT emadroghanian arobusttwostagestochasticlocationroutinginventorymodelforperishableitems AT ashkanhafezalkotob arobusttwostagestochasticlocationroutinginventorymodelforperishableitems AT amirabbasshojaie arobusttwostagestochasticlocationroutinginventorymodelforperishableitems AT shimaharati robusttwostagestochasticlocationroutinginventorymodelforperishableitems AT emadroghanian robusttwostagestochasticlocationroutinginventorymodelforperishableitems AT ashkanhafezalkotob robusttwostagestochasticlocationroutinginventorymodelforperishableitems AT amirabbasshojaie robusttwostagestochasticlocationroutinginventorymodelforperishableitems
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A Robust Two-Stage Stochastic Location-Routing-Inventory Model for Perishable Items

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