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A game theory data science-based mechanism for licensed pharmaceutical products concerning their deterioration: a case of a micro, small, and medium enterprise in Iran
One of the main characteristics of health systems and pharmaceutical supply chains is their significant costs in the public sector, which has forced governments and companies active in this field to find ways to reduce costs. In this paper, the deterioration of imported pharmaceutical items is inves...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer US
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10204692/ https://www.ncbi.nlm.nih.gov/pubmed/37361076 http://dx.doi.org/10.1007/s10479-023-05360-z |
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author | Mostofi, Amirhossein Jain, Vipul Kumar, Sameer Mei, Yi Chandra, Charu |
author_facet | Mostofi, Amirhossein Jain, Vipul Kumar, Sameer Mei, Yi Chandra, Charu |
author_sort | Mostofi, Amirhossein |
collection | PubMed |
description | One of the main characteristics of health systems and pharmaceutical supply chains is their significant costs in the public sector, which has forced governments and companies active in this field to find ways to reduce costs. In this paper, the deterioration of imported pharmaceutical items is investigated as one of the challenges of the supply chain of pharmaceutical firms. Specifically, the micro, small medium enterprise (MSME), and a collaborative strategy to reduce its costs is presented. The technical solution of the cooperative strategy is the formation of a partnership alliance between the foreign patent holder of brand drugs and a domestic manufacturer through an exclusive license contract in the local country. This leads to a significant reduction of costs in the distribution network of the pharmaceutical supply chain. On the other hand, supply chain management techniques in the cooperative strategy provide the necessary motivation for its practical implementation by splitting fair profits between producers and other members, namely local government, distributors, and pharmacies. For these purposes, a cooperative game theory-based contract is utilized to set the parameters of the license agreement, and then a profit-sharing mechanism is introduced that splits the benefits of cooperation among the supply chain members based on their afforded costs. The most important contribution of the current research is to propose an integrated framework that combines the logistics network models, valuation methods, and profit split mechanisms that embody more facts from real-world problems than separate models in this regard in previous studies. Moreover, results of the proposed strategy in the supply chain of a drug for thalassemia patients in Iran indicate the effectiveness of the proposed strategy in reducing costs and deterioration. Further, it is shown that the higher the ordering costs of the imported drugs, the lower the market share of the patent holder, and the lower the financing expenses of the cooperative alliance, the more efficient is the proposed strategy. |
format | Online Article Text |
id | pubmed-10204692 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Springer US |
record_format | MEDLINE/PubMed |
spelling | pubmed-102046922023-05-25 A game theory data science-based mechanism for licensed pharmaceutical products concerning their deterioration: a case of a micro, small, and medium enterprise in Iran Mostofi, Amirhossein Jain, Vipul Kumar, Sameer Mei, Yi Chandra, Charu Ann Oper Res Original Research One of the main characteristics of health systems and pharmaceutical supply chains is their significant costs in the public sector, which has forced governments and companies active in this field to find ways to reduce costs. In this paper, the deterioration of imported pharmaceutical items is investigated as one of the challenges of the supply chain of pharmaceutical firms. Specifically, the micro, small medium enterprise (MSME), and a collaborative strategy to reduce its costs is presented. The technical solution of the cooperative strategy is the formation of a partnership alliance between the foreign patent holder of brand drugs and a domestic manufacturer through an exclusive license contract in the local country. This leads to a significant reduction of costs in the distribution network of the pharmaceutical supply chain. On the other hand, supply chain management techniques in the cooperative strategy provide the necessary motivation for its practical implementation by splitting fair profits between producers and other members, namely local government, distributors, and pharmacies. For these purposes, a cooperative game theory-based contract is utilized to set the parameters of the license agreement, and then a profit-sharing mechanism is introduced that splits the benefits of cooperation among the supply chain members based on their afforded costs. The most important contribution of the current research is to propose an integrated framework that combines the logistics network models, valuation methods, and profit split mechanisms that embody more facts from real-world problems than separate models in this regard in previous studies. Moreover, results of the proposed strategy in the supply chain of a drug for thalassemia patients in Iran indicate the effectiveness of the proposed strategy in reducing costs and deterioration. Further, it is shown that the higher the ordering costs of the imported drugs, the lower the market share of the patent holder, and the lower the financing expenses of the cooperative alliance, the more efficient is the proposed strategy. Springer US 2023-05-23 /pmc/articles/PMC10204692/ /pubmed/37361076 http://dx.doi.org/10.1007/s10479-023-05360-z Text en © The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2023, Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic. |
spellingShingle | Original Research Mostofi, Amirhossein Jain, Vipul Kumar, Sameer Mei, Yi Chandra, Charu A game theory data science-based mechanism for licensed pharmaceutical products concerning their deterioration: a case of a micro, small, and medium enterprise in Iran |
title | A game theory data science-based mechanism for licensed pharmaceutical products concerning their deterioration: a case of a micro, small, and medium enterprise in Iran |
title_full | A game theory data science-based mechanism for licensed pharmaceutical products concerning their deterioration: a case of a micro, small, and medium enterprise in Iran |
title_fullStr | A game theory data science-based mechanism for licensed pharmaceutical products concerning their deterioration: a case of a micro, small, and medium enterprise in Iran |
title_full_unstemmed | A game theory data science-based mechanism for licensed pharmaceutical products concerning their deterioration: a case of a micro, small, and medium enterprise in Iran |
title_short | A game theory data science-based mechanism for licensed pharmaceutical products concerning their deterioration: a case of a micro, small, and medium enterprise in Iran |
title_sort | game theory data science-based mechanism for licensed pharmaceutical products concerning their deterioration: a case of a micro, small, and medium enterprise in iran |
topic | Original Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10204692/ https://www.ncbi.nlm.nih.gov/pubmed/37361076 http://dx.doi.org/10.1007/s10479-023-05360-z |
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