Please use this identifier to cite or link to this item: https://hdl.handle.net/10419/270840 
Authors: 
Year of Publication: 
2021
Publisher: 
Open Book Publishers, Cambridge, UK
Abstract: 
"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."
Subjects: 
demand forecasting
deterministic inventory control
inventory control
inventory systems
Python
stochastic inventory control
supply chain planning
Persistent Identifier of the first edition: 
ISBN: 
978-1-80064-177-8
Creative Commons License: 
cc-by Logo
Document Type: 
Book
Document Version: 
Published Version

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