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pro vyhledávání: '"Mekler, Philipp"'
Autor:
Canci, Jung Kyu, Mekler, Philipp, Mu, Gang
This open access book explores the field of life science business from a multidisciplinary perspective. Applying statistical, mathematical, game-theoretic, and data science tools to pharmaceutical and biotechnology business endeavors, the book descri
Externí odkaz:
https://library.oapen.org/handle/20.500.12657/60155
Publikováno v:
Proceedings of the National Academy of Sciences of the United States of America, 1986 Apr . 83(8), 2599-2603.
Externí odkaz:
https://www.jstor.org/stable/27332
Publikováno v:
Hammler, Patric; Riesterer, Nicolas; Mu, Gang; Braun, Torsten (2023). Multi-Echelon Inventory Optimization Using Deep Reinforcement Learning. In: Canci, Jung Kyu; Mekler, Philipp; Mu, Gang (eds.) Quantitative Models in Life Science Business. SpringerBriefs in economics (pp. 73-93). Springer 10.1007/978-3-031-11814-2_5
Quantitative Models in Life Science Business ISBN: 9783031118135
Quantitative Models in Life Science Business ISBN: 9783031118135
In this chapter, we provide an overview of inventory management within the pharmaceutical industry and how to model and optimize it. Inventory management is a highly relevant topic, as it causes high costs such as holding, shortage, and reordering co
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0a363bf6b33f9c23f0a7fb4eb0cc02fe