9781800641778.pdf

"Inventory Analytics provides a comprehensive and accessible introduction to the theory and practice of inventory control – a significant research area central to supply chain planning. The book outlines the foundations of inventory systems and surveys prescriptive analytics models for determin...

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Γλώσσα:English
Έκδοση: Open Book Publishers 2021
Διαθέσιμο Online:https://www.openbookpublishers.com/product/1399
id oapen-20.500.12657-49414
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spelling oapen-20.500.12657-494142021-06-10T06:42:39Z Inventory Analytics Rossi, Roberto demand forecasting; deterministic inventory control; inventory control; inventory systems; Python; stochastic inventory control; supply chain planning; bic Book Industry Communication::K Economics, finance, business & management::KC Economics::KCA Economic theory & philosophy bic Book Industry Communication::B Biography & True Stories bic Book Industry Communication::J Society & social sciences::JH Sociology & anthropology::JHB Sociology::JHBC Social research & statistics bic Book Industry Communication::K Economics, finance, business & management bic Book Industry Communication::P Mathematics & science::PB Mathematics::PBW Applied mathematics::PBWL Stochastics bic Book Industry Communication::K Economics, finance, business & management::KJ Business & management bic Book Industry Communication::K Economics, finance, business & management::KJ Business & management::KJM Management & management techniques::KJMV Management of specific areas bic Book Industry Communication::P Mathematics & science::PB Mathematics::PBT Probability & statistics "Inventory Analytics provides a comprehensive and accessible introduction to the theory and practice of inventory control – a significant research area central to supply chain planning. The book outlines the foundations of inventory systems and surveys prescriptive analytics models for deterministic inventory control. It further discusses predictive analytics techniques for demand forecasting in inventory control and also examines prescriptive analytics models for stochastic inventory control. Inventory Analytics is the first book of its kind to adopt a practicable, Python-driven approach to illustrating theories and concepts via computational examples, with each model covered in the book accompanied by its Python code. Originating as a collection of self-contained lectures, Inventory Analytics will be an indispensable resource for practitioners, researchers, teachers, and students alike." 2021-06-04T09:21:14Z 2021-06-04T09:21:14Z 2021 book 9781800641761 https://library.oapen.org/handle/20.500.12657/49414 eng application/pdf Attribution 4.0 International 9781800641778.pdf https://www.openbookpublishers.com/product/1399 Open Book Publishers 10.11647/OBP.0252 10.11647/OBP.0252 23117811-c361-47b4-8b76-2c9b160c9a8b 9781800641761 ScholarLed 184 open access
institution OAPEN
collection DSpace
language English
description "Inventory Analytics provides a comprehensive and accessible introduction to the theory and practice of inventory control – a significant research area central to supply chain planning. The book outlines the foundations of inventory systems and surveys prescriptive analytics models for deterministic inventory control. It further discusses predictive analytics techniques for demand forecasting in inventory control and also examines prescriptive analytics models for stochastic inventory control. Inventory Analytics is the first book of its kind to adopt a practicable, Python-driven approach to illustrating theories and concepts via computational examples, with each model covered in the book accompanied by its Python code. Originating as a collection of self-contained lectures, Inventory Analytics will be an indispensable resource for practitioners, researchers, teachers, and students alike."
title 9781800641778.pdf
spellingShingle 9781800641778.pdf
title_short 9781800641778.pdf
title_full 9781800641778.pdf
title_fullStr 9781800641778.pdf
title_full_unstemmed 9781800641778.pdf
title_sort 9781800641778.pdf
publisher Open Book Publishers
publishDate 2021
url https://www.openbookpublishers.com/product/1399
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