Cargando…

Order policy for emergency medicine with return uncertainty in a closed-loop supply chain

Due to difficulties in accurately predicting the emergency timing and the magnitude of a disaster, operations for perishable emergency inventory planning often encounter expiration and shortage problems. In order to ease the expiration problem in emergency medicine preparation inventories, this pape...

Descripción completa

Detalles Bibliográficos
Autores principales: Pan, Wei, Guo, Ying, Zhang, Wenji, Jin, Lei, Liao, Shujie
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6201896/
https://www.ncbi.nlm.nih.gov/pubmed/30359389
http://dx.doi.org/10.1371/journal.pone.0205643
_version_ 1783365593679790080
author Pan, Wei
Guo, Ying
Zhang, Wenji
Jin, Lei
Liao, Shujie
author_facet Pan, Wei
Guo, Ying
Zhang, Wenji
Jin, Lei
Liao, Shujie
author_sort Pan, Wei
collection PubMed
description Due to difficulties in accurately predicting the emergency timing and the magnitude of a disaster, operations for perishable emergency inventory planning often encounter expiration and shortage problems. In order to ease the expiration problem in emergency medicine preparation inventories, this paper investigates an emergency medicine closed-loop supply chain for returning unused items from an ERC (Emergency Reserve Center) to a hospital. To assure that the return strategy is meaningful, we propose a critical parameter that we term the latest return time, after which the remaining emergency medicine in the ERC cannot be returned to the hospital. In addition, the short lifetime of emergency products and uncertainty about demand time and demand quantity are also considered in this emergency inventory planning system. In analyzing the optimal ordering policies, we find that the two threshold values for the predefined return time, which affect the total costs, are not monotonous; rather, the direction of their effect is first down, then up, and then down again, which means that a better predefined value of the latest return time can be determined by minimizing total costs. By studying and comparing decentralized and centralized decisions, we find that the centralized decision system works better to control expiration and costs. Therefore, we design a coordination mechanism for the cooperation between the ERC and the hospital. Our analysis shows that we should not ignore the emergency uncertainty and perishability of emergency items.
format Online
Article
Text
id pubmed-6201896
institution National Center for Biotechnology Information
language English
publishDate 2018
publisher Public Library of Science
record_format MEDLINE/PubMed
spelling pubmed-62018962018-11-19 Order policy for emergency medicine with return uncertainty in a closed-loop supply chain Pan, Wei Guo, Ying Zhang, Wenji Jin, Lei Liao, Shujie PLoS One Research Article Due to difficulties in accurately predicting the emergency timing and the magnitude of a disaster, operations for perishable emergency inventory planning often encounter expiration and shortage problems. In order to ease the expiration problem in emergency medicine preparation inventories, this paper investigates an emergency medicine closed-loop supply chain for returning unused items from an ERC (Emergency Reserve Center) to a hospital. To assure that the return strategy is meaningful, we propose a critical parameter that we term the latest return time, after which the remaining emergency medicine in the ERC cannot be returned to the hospital. In addition, the short lifetime of emergency products and uncertainty about demand time and demand quantity are also considered in this emergency inventory planning system. In analyzing the optimal ordering policies, we find that the two threshold values for the predefined return time, which affect the total costs, are not monotonous; rather, the direction of their effect is first down, then up, and then down again, which means that a better predefined value of the latest return time can be determined by minimizing total costs. By studying and comparing decentralized and centralized decisions, we find that the centralized decision system works better to control expiration and costs. Therefore, we design a coordination mechanism for the cooperation between the ERC and the hospital. Our analysis shows that we should not ignore the emergency uncertainty and perishability of emergency items. Public Library of Science 2018-10-25 /pmc/articles/PMC6201896/ /pubmed/30359389 http://dx.doi.org/10.1371/journal.pone.0205643 Text en © 2018 Pan et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Pan, Wei
Guo, Ying
Zhang, Wenji
Jin, Lei
Liao, Shujie
Order policy for emergency medicine with return uncertainty in a closed-loop supply chain
title Order policy for emergency medicine with return uncertainty in a closed-loop supply chain
title_full Order policy for emergency medicine with return uncertainty in a closed-loop supply chain
title_fullStr Order policy for emergency medicine with return uncertainty in a closed-loop supply chain
title_full_unstemmed Order policy for emergency medicine with return uncertainty in a closed-loop supply chain
title_short Order policy for emergency medicine with return uncertainty in a closed-loop supply chain
title_sort order policy for emergency medicine with return uncertainty in a closed-loop supply chain
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6201896/
https://www.ncbi.nlm.nih.gov/pubmed/30359389
http://dx.doi.org/10.1371/journal.pone.0205643
work_keys_str_mv AT panwei orderpolicyforemergencymedicinewithreturnuncertaintyinaclosedloopsupplychain
AT guoying orderpolicyforemergencymedicinewithreturnuncertaintyinaclosedloopsupplychain
AT zhangwenji orderpolicyforemergencymedicinewithreturnuncertaintyinaclosedloopsupplychain
AT jinlei orderpolicyforemergencymedicinewithreturnuncertaintyinaclosedloopsupplychain
AT liaoshujie orderpolicyforemergencymedicinewithreturnuncertaintyinaclosedloopsupplychain