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Inventory Analytics - cover image

Copyright

Roberto Rossi

Published On

2021-05-24

ISBN

Paperback978-1-80064-176-1
PDF978-1-80064-177-8

Language

  • English

Print Length

184 pages (184)

Dimensions

Paperback210 x 13 x 297 mm(8.268" x 0.51" x 11.693")

Weight

Paperback1356g (47.83oz)

OCLC Number

1255461993

LCCN

2020447493

BIC

  • KCA
  • BUS
  • JHBC
  • K
  • PBWL
  • KJ
  • KJMV
  • PBT

BISAC

  • BUS044000
  • BUS069030
  • MAT029000
  • BUS001010

LCC

  • TS160

Keywords

  • inventory control
  • supply chain planning
  • inventory systems
  • deterministic inventory control
  • demand forecasting
  • stochastic inventory control
  • Python

Inventory Analytics

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.

Reviews

Presents an applied, hands-on approach to inventory control theory, focusing on the implementation of solution methods for problems typically faced by a manager who juggles day-to-day inventory control challenges.

Journal of Economic Literature, vol. 59, no. 4,

Contents

Inventory Systems

(pp. 25–38)
  • Roberto Rossi
  • Roberto Rossi

Demand Forecasting

(pp. 75–116)
  • Roberto Rossi
  • Roberto Rossi
  • Roberto Rossi

Appendix

(pp. 167–178)
  • Roberto Rossi

Introduction

(pp. 23–24)
  • Roberto Rossi