Articles liés à Inventory Optimization: Models and Simulations
Synopsis
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.
Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.
À propos de l?auteur
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.
Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.
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Inventory Optimization: Models and Simulations
Edité par
De Gruyter, 2020
ISBN 10 : 3110673916
ISBN 13 : 9783110673913
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Inventory Optimization: Models and Simulations
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De Gruyter (edition 1), 2020
ISBN 10 : 3110673916
ISBN 13 : 9783110673913
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Inventory Optimization: Models and Simulations
Edité par
De Gruyter, 2020
ISBN 10 : 3110673916
ISBN 13 : 9783110673913
Ancien ou d'occasion
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Inventory Optimization: Models and Simulations (Paperback or Softback)
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de Gruyter 10/1/2020, 2020
ISBN 10 : 3110673916
ISBN 13 : 9783110673913
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Inventory Optimization: Models and Simulations
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INVENTORY OPTIMIZATION
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Inventory Optimization
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Paperback. Etat : New. 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. 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 SandO Industry practice of PwC Belgium; Bram Desmet, professor of operations and 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 Forecasting (IBF):https://youtu.be/565fDQMJEEg. N° de réf. du vendeur LU-9783110673913
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Inventory Optimization : Models and Simulations
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Inventory Optimization
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Inventory Optimization: Models and Simulations
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