Inventory Optimization: Models and Simulations
Language: English
Published by De Gruyter, 2020
- Softcover
- Used
Seller: Jasmin Berger, Sassnitz, GermanyJasmin Berger
AbeBooks seller since October 30, 2019
Condition: Used - Near fine
£ 26.34
Quantity: 1 available
Add to basketItem description from seller
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 simpleyet powerfulframework. 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. Events around the book Link to a De Gruyter Online Event in which the author Nicolas Vandeput together with Stefan de Kok, supply chain innovator and CEO of Wahupa; Koen Cobbaert, Director in the S&O Industry practice of PwC Belgium; Bram Desmet, professor of operations & supply chain at the Vlerick Business School in Ghent; and Karl-Eric Devaux, Planning Consultant, Hatmill, discuss about models for inventory optimization.The event will be moderated by Eric Wilson, Director of Thought Leadership for Institute of Business Forecastin.…
Seller Inventory # a632
- Title
- Inventory Optimization: Models and Simulations
- Author
- Vandeput, Nicolas
- Publisher
- De Gruyter
- Publication year
- 2020
- Condition
- Gut bis sehr gut
- Binding
- Softcover
- Language
- English
- ISBN 10
- 3110673916
- ISBN 13
- 9783110673913
--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.
"Synopsis" may belong to another edition of this title.
About the Author
"About the title" may belong to another edition of this title.
Jasmin Berger
Sassnitz, Germany
AbeBooks seller since October 30, 2019
Shipping rates from Germany to U.S.A.
| Item | 25 to 45 business days | 25 to 45 business days |
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| First item | £ 46.88 | £ 46.88 |
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