• Title: Inventory Analytics: A Practicable, Python-Driven Approach
• Author(s) Roberto Rossi
• Publisher: Open Book Publishers (May 31, 2021); eBook (Creative Commons Licensed)
• License(s): CC BY 4.0
• Hardcover/Paperback: 186 pages
• eBook: HTML and PDF
• Language: English
• ISBN-10/ASIN: 1800641761
• ISBN-13: 978-1800641761
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Book 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.

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• Operations Research (OR), Optimization, etc.
• Computational Simulations and Modeling
• Python Programming
• Financial Mathematics and Engineering

• Inventory Analytics: A Practicable, Python-Driven Approach (Roberto Rossi)
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