Inventory Optimization by Nicolas Vandeput

Inventory Optimization by Nicolas Vandeput

Regular price
Checking stock...
Regular price
Checking stock...
Proud to be B-Corp

Our business meets the highest standards of verified social and environmental performance, public transparency and legal accountability to balance profit and purpose. In short, we care about people and the planet.

The feel-good place to buy books
  • Free delivery in Australia
  • Supporting authors with AuthorSHARE
  • 100% recyclable packaging
  • Proud to be a B Corp – A Business for good
  • Buy-back with Ziffit

Inventory Optimization by Nicolas Vandeput

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.
Nicolas Vandeput is a supply chain data scientist specialized in demand forecasting and inventory optimization. He founded his consultancy company SupChains in 2016 and co-founded SKU Science—a smart online platform for supply chain management—in 2018. He enjoys discussing new quantitative models and how to apply them to business reality. Passionate about education, Nicolas is both an avid learner and enjoys teaching at universities: he has taught forecasting and inventory optimization to master students since 2014 in Brussels, Belgium.
SKU Unavailable
ISBN 13 9783110673913
ISBN 10 3110673916
Title Inventory Optimization
Author Nicolas Vandeput
Condition Unavailable
Binding Type Paperback
Publisher De Gruyter
Year published 2020-08-24
Number of pages 318
Cover note Book picture is for illustrative purposes only, actual binding, cover or edition may vary.
Note Unavailable