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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.

Inventory Analytics
Roberto Rossi | May 2021
184pp. | colour | 8.26" x 11.69" (297 x 210 mm)
ISBN Paperback: 9781800641761
ISBN Digital (PDF): 9781800641778
DOI: 10.11647/OBP.0252
Subject Codes: BIC: KCA (Economic theory and philosophy), BUS (Micro-economics and economic theory), JHBC (Social research and statistics), K (Economics, finance, business and management), PBWL (Stochastics), KJ (Business and management), KJMV (Management of specific areas), PBT (Probability and statistics); BISAC: BUS044000 (BUSINESS & ECONOMICS / Economics / Microeconomics), BUS069030 (BUSINESS & ECONOMICS / Economics / Theory), MAT029000 (MATHEMATICS / Probability & Statistics / General), BUS001010 (BUSINESS & ECONOMICS / Accounting / Financial). OCLC Number: 1255461993.