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A novel approach for inventory problem in the pharmaceutical supply chain

BACKGROUND: In pharmaceutical enterprises, keeping up with global market conditions is possible with properly selected supply chain management policies. Generally; demand-driven classical supply chain model is used in the pharmaceutical industry. In this study, a new mathematical model is developed...

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Autores principales: Candan, Gökçe, Yazgan, Harun Reşit
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4765047/
https://www.ncbi.nlm.nih.gov/pubmed/26912354
http://dx.doi.org/10.1186/s40199-016-0144-y
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author Candan, Gökçe
Yazgan, Harun Reşit
author_facet Candan, Gökçe
Yazgan, Harun Reşit
author_sort Candan, Gökçe
collection PubMed
description BACKGROUND: In pharmaceutical enterprises, keeping up with global market conditions is possible with properly selected supply chain management policies. Generally; demand-driven classical supply chain model is used in the pharmaceutical industry. In this study, a new mathematical model is developed to solve an inventory problem in the pharmaceutical supply chain. METHOD: Unlike the studies in literature, the “shelf life and product transition times” constraints are considered, simultaneously, first time in the pharmaceutical production inventory problem. The problem is formulated as a mixed-integer linear programming (MILP) model with a hybrid time representation. The objective is to maximize total net profit. Effectiveness of the proposed model is illustrated considering a classical and a vendor managed inventory (VMI) supply chain on an experimental study. RESULTS: To show the effectiveness of the model, an experimental study is performed; which contains 2 different supply chain policy (Classical and VMI), 24 and 30 months planning horizon, 10 and 15 different cephalosporin products. Finally the mathematical model is compared to another model in literature and the results show that proposed model is superior. CONCLUSION: This study suggest a novel approach for solving pharmaceutical inventory problem. The developed model is maximizing total net profit while determining optimal production plan under shelf life and product transition constraints in the pharmaceutical industry. And we believe that the proposed model is much more closed to real life unlike the other studies in literature.
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spelling pubmed-47650472016-02-25 A novel approach for inventory problem in the pharmaceutical supply chain Candan, Gökçe Yazgan, Harun Reşit Daru Research Article BACKGROUND: In pharmaceutical enterprises, keeping up with global market conditions is possible with properly selected supply chain management policies. Generally; demand-driven classical supply chain model is used in the pharmaceutical industry. In this study, a new mathematical model is developed to solve an inventory problem in the pharmaceutical supply chain. METHOD: Unlike the studies in literature, the “shelf life and product transition times” constraints are considered, simultaneously, first time in the pharmaceutical production inventory problem. The problem is formulated as a mixed-integer linear programming (MILP) model with a hybrid time representation. The objective is to maximize total net profit. Effectiveness of the proposed model is illustrated considering a classical and a vendor managed inventory (VMI) supply chain on an experimental study. RESULTS: To show the effectiveness of the model, an experimental study is performed; which contains 2 different supply chain policy (Classical and VMI), 24 and 30 months planning horizon, 10 and 15 different cephalosporin products. Finally the mathematical model is compared to another model in literature and the results show that proposed model is superior. CONCLUSION: This study suggest a novel approach for solving pharmaceutical inventory problem. The developed model is maximizing total net profit while determining optimal production plan under shelf life and product transition constraints in the pharmaceutical industry. And we believe that the proposed model is much more closed to real life unlike the other studies in literature. BioMed Central 2016-02-24 /pmc/articles/PMC4765047/ /pubmed/26912354 http://dx.doi.org/10.1186/s40199-016-0144-y Text en © Candan and Yazgan. 2016 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research Article
Candan, Gökçe
Yazgan, Harun Reşit
A novel approach for inventory problem in the pharmaceutical supply chain
title A novel approach for inventory problem in the pharmaceutical supply chain
title_full A novel approach for inventory problem in the pharmaceutical supply chain
title_fullStr A novel approach for inventory problem in the pharmaceutical supply chain
title_full_unstemmed A novel approach for inventory problem in the pharmaceutical supply chain
title_short A novel approach for inventory problem in the pharmaceutical supply chain
title_sort novel approach for inventory problem in the pharmaceutical supply chain
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4765047/
https://www.ncbi.nlm.nih.gov/pubmed/26912354
http://dx.doi.org/10.1186/s40199-016-0144-y
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