Description
In this book . . . Nicolas Vandeput hacks his way through the maze of quantitative supply chain optimizations. This book illustrates how the quantitative optimization of 21st century supply chains should be crafted and executed. . . . Vandeput is at the forefront of a new and better way of doing supply chains, and thanks to a richly illustrated book, where every single situation gets its own illustrating code snippet, so could you.
--Joannes Vermorel, CEO, Lokad
Inventory Optimization argues that mathematical inventory models can only take us so far with supply chain management. In order to optimize inventory policies, we have to use probabilistic simulations. The book explains how to implement these models and simulations step-by-step, starting from simple deterministic ones to complex multi-echelon optimization.
The first two parts of the book discuss classical mathematical models, their limitations and assumptions, and a quick but effective introduction to Python is provided. Part 3 contains more advanced models that will allow you to optimize your profits, estimate your lost sales and use advanced demand distributions. It also provides an explanation of how you can optimize a multi-echelon supply chain based on a simple--yet powerful--framework. Part 4 discusses inventory optimization thanks to simulations under custom discrete demand probability functions.
Inventory managers, demand planners and academics interested in gaining cost-effective solutions will benefit from the do-it-yourself examples and Python programs included in each chapter.
Author: Nicolas Vandeput
Publisher: de Gruyter
Published: 10/01/2020
Pages: 318
Binding Type: Paperback
Weight: 1.40lbs
Size: 9.40h x 6.70w x 0.90d
ISBN13: 9783110673913
ISBN10: 3110673916
BISAC Categories:
- Business & Economics | Leadership
- Business & Economics | Infrastructure
- Business & Economics | Operations Research
About the Author
Nicolas Vandeput, Founder, SupChains; Co-founder SKU Science, Belgium