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Pharmaceutical Reagent Inventory Strategy Based on Contract Shelf Life and Patient Demand
As the function and R&D level of in vitro diagnostic reagents continue to improve, the need for hospitals for in vitro diagnostic reagents in clinical diagnosis also keeps increasing. However, under the influence of management, process, technology, equipment, materials, employees, and other unex...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9050331/ https://www.ncbi.nlm.nih.gov/pubmed/35542757 http://dx.doi.org/10.1155/2022/5046141 |
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author | Li, Lingling Liu, Zheng Qian, Qingshan Zhao, Zhao Zhao, Yuanjun |
author_facet | Li, Lingling Liu, Zheng Qian, Qingshan Zhao, Zhao Zhao, Yuanjun |
author_sort | Li, Lingling |
collection | PubMed |
description | As the function and R&D level of in vitro diagnostic reagents continue to improve, the need for hospitals for in vitro diagnostic reagents in clinical diagnosis also keeps increasing. However, under the influence of management, process, technology, equipment, materials, employees, and other unexpected disturbing factors, the output of reagents often has random uncertainty, and it is difficult to provide the finished products required by orders on time, in quality and quantity. A secondary supply chain consisting of reagent manufacturers, distributors, and hospitals is constructed, and the inventory control models of in vitro diagnostic reagent supply chain under three strategies of centralized decision-making, hospital-owned inventory, and reagent distributor-managed inventory are established, respectively, and the maximum expected returns of the supply chain system under different strategies are analyzed to achieve the optimal production decision of reagent manufacturers and the optimal procurement decision of hospitals. The results show that reducing the random output probability and patient demand uncertainty has a significant effect on improving the expected return of in vitro diagnostic reagent supply chain, and as the random output probability of reagent manufacturers and patient consumption demand uncertainty increase, the strategy of managing inventory by distributors in collaboration is always better than the strategy of managing inventory by hospitals' own warehouses, which can achieve higher expected return and better inventory quantity, but when the out-of-stock cost of hospitals is too high above a certain threshold, the hospital will tend to adopt the self-inventory strategy. |
format | Online Article Text |
id | pubmed-9050331 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Hindawi |
record_format | MEDLINE/PubMed |
spelling | pubmed-90503312022-05-09 Pharmaceutical Reagent Inventory Strategy Based on Contract Shelf Life and Patient Demand Li, Lingling Liu, Zheng Qian, Qingshan Zhao, Zhao Zhao, Yuanjun Contrast Media Mol Imaging Research Article As the function and R&D level of in vitro diagnostic reagents continue to improve, the need for hospitals for in vitro diagnostic reagents in clinical diagnosis also keeps increasing. However, under the influence of management, process, technology, equipment, materials, employees, and other unexpected disturbing factors, the output of reagents often has random uncertainty, and it is difficult to provide the finished products required by orders on time, in quality and quantity. A secondary supply chain consisting of reagent manufacturers, distributors, and hospitals is constructed, and the inventory control models of in vitro diagnostic reagent supply chain under three strategies of centralized decision-making, hospital-owned inventory, and reagent distributor-managed inventory are established, respectively, and the maximum expected returns of the supply chain system under different strategies are analyzed to achieve the optimal production decision of reagent manufacturers and the optimal procurement decision of hospitals. The results show that reducing the random output probability and patient demand uncertainty has a significant effect on improving the expected return of in vitro diagnostic reagent supply chain, and as the random output probability of reagent manufacturers and patient consumption demand uncertainty increase, the strategy of managing inventory by distributors in collaboration is always better than the strategy of managing inventory by hospitals' own warehouses, which can achieve higher expected return and better inventory quantity, but when the out-of-stock cost of hospitals is too high above a certain threshold, the hospital will tend to adopt the self-inventory strategy. Hindawi 2022-04-21 /pmc/articles/PMC9050331/ /pubmed/35542757 http://dx.doi.org/10.1155/2022/5046141 Text en Copyright © 2022 Lingling Li et al. https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Article Li, Lingling Liu, Zheng Qian, Qingshan Zhao, Zhao Zhao, Yuanjun Pharmaceutical Reagent Inventory Strategy Based on Contract Shelf Life and Patient Demand |
title | Pharmaceutical Reagent Inventory Strategy Based on Contract Shelf Life and Patient Demand |
title_full | Pharmaceutical Reagent Inventory Strategy Based on Contract Shelf Life and Patient Demand |
title_fullStr | Pharmaceutical Reagent Inventory Strategy Based on Contract Shelf Life and Patient Demand |
title_full_unstemmed | Pharmaceutical Reagent Inventory Strategy Based on Contract Shelf Life and Patient Demand |
title_short | Pharmaceutical Reagent Inventory Strategy Based on Contract Shelf Life and Patient Demand |
title_sort | pharmaceutical reagent inventory strategy based on contract shelf life and patient demand |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9050331/ https://www.ncbi.nlm.nih.gov/pubmed/35542757 http://dx.doi.org/10.1155/2022/5046141 |
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