Supply chain network design based on Big Data Analytics: heuristic-simulation method in a pharmaceutical case study ...
Taylor & Francis, 2024
academicJournal
Zugriff:
Digital technology is a pivotal aspect of the ongoing digital transformation upon which supply chain networks (SCNs) heavily rely. Through the utilization of Big Data Analytics (BDA), organizations can gain insights into sales, production and formulate decision support systems. The pharmaceutical supply chain emerges as a crucial player in producing and distributing medications vital for treating COVID-19 patients. In this study, we have innovatively designed a multi-echelon Pharmaceutical Supply Chain Network (PSCN) using BDA during the COVID-19 pandemic. We have developed a novel Mixed-Integer Non-Linear Programming model addressing allocation, production planning, and inventory control decisions, known as the LAPI problem. A transformation method is employed to convert the non-linear model into a linear one to enhance computational efficiency. The primary objective of our mathematical model is to minimize the total cost and CO 2 emissions of the transportation system and established centres while ...
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Supply chain network design based on Big Data Analytics: heuristic-simulation method in a pharmaceutical case study ...
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Autor/in / Beteiligte Person: | Goodarzian, Fariba ; Ghasemi, Peiman ; Appolloni, Andrea ; Ali, Irfan ; Cárdenas-Barrón, Leopoldo Eduardo |
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Veröffentlichung: | Taylor & Francis, 2024 |
Medientyp: | academicJournal |
DOI: | 10.6084/m9.figshare.25867431.v1 |
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