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In den WarenkorbPaperback. Zustand: Fine.
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Anbieter: PBShop.store UK, Fairford, GLOS, Vereinigtes Königreich
EUR 43,32
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In den WarenkorbPAP. Zustand: New. New Book. Shipped from UK. Established seller since 2000.
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In den WarenkorbPAP. Zustand: New. New Book. Shipped from UK. Established seller since 2000.
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Zustand: very good. Gut/Very good: Buch bzw. Schutzumschlag mit wenigen Gebrauchsspuren an Einband, Schutzumschlag oder Seiten. / Describes a book or dust jacket that does show some signs of wear on either the binding, dust jacket or pages.
EUR 53,08
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In den WarenkorbHRD. Zustand: New. New Book. Shipped from UK. Established seller since 2000.
Anbieter: Revaluation Books, Exeter, Vereinigtes Königreich
EUR 44,36
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In den WarenkorbPaperback. Zustand: Brand New. 2nd ed. edition. 280 pages. 9.44x6.69x0.79 inches. In Stock.
Anbieter: Revaluation Books, Exeter, Vereinigtes Königreich
EUR 46,93
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In den WarenkorbPaperback. Zustand: Brand New. 280 pages. 9.44x6.69x0.87 inches. In Stock.
Anbieter: Ria Christie Collections, Uxbridge, Vereinigtes Königreich
EUR 51,58
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In den WarenkorbZustand: New. In.
Anbieter: Ria Christie Collections, Uxbridge, Vereinigtes Königreich
EUR 54,26
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In den WarenkorbZustand: New. In.
Sprache: Englisch
Verlag: Walter de Gruyter, Incorporated, 2021
ISBN 10: 3110671107 ISBN 13: 9783110671100
Anbieter: Majestic Books, Hounslow, Vereinigtes Königreich
EUR 61,60
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In den WarenkorbZustand: New. pp. 280.
Anbieter: Majestic Books, Hounslow, Vereinigtes Königreich
EUR 65,00
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In den WarenkorbZustand: New.
Zustand: New. 2021. 2nd ed. Paperback. . . . . . Books ship from the US and Ireland.
Anbieter: Ria Christie Collections, Uxbridge, Vereinigtes Königreich
EUR 66,30
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In den WarenkorbZustand: New. In.
EUR 69,61
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In den WarenkorbPaperback. Zustand: Brand New. 200 pages. 9.25x7.37x0.50 inches. In Stock.
Zustand: New. 2020. Paperback. . . . . . Books ship from the US and Ireland.
Softcover. Zustand: Gut bis sehr gut. 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.
EUR 82,89
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In den WarenkorbPaperback. Zustand: Brand New. 200 pages. 9.25x7.37x0.50 inches. In Stock.
Zustand: New. I had a chance to review the manuscript. It is a very good book. For the supply chain managers out there, you should read at least the first few chapters, and then have others on your team read the rest of it and act on it . you can have close to sta.
Zustand: New. 2023. 1st Edition. Paperback. . . . . . Books ship from the US and Ireland.
Zustand: New.
EUR 55,80
Anzahl: 7 verfügbar
In den WarenkorbZustand: NEW.
Sprache: Englisch
Verlag: Walter De Gruyter Mär 2021, 2021
ISBN 10: 3110671107 ISBN 13: 9783110671100
Anbieter: buchversandmimpf2000, Emtmannsberg, BAYE, Deutschland
Taschenbuch. Zustand: Neu. Neuware -Using data science in order to solve a problem requires a scientific mindset more than coding skills. Data Science for Supply Chain Forecasting, Second Edition contends that a true scientific method which includes experimentation, observation, and constant questioning must be applied to supply chains to achieve excellence in demand forecasting.Walter de Gruyter, Genthiner Straße 13, 10785 Berlin 282 pp. Englisch.
Zustand: New. Über den AutorNicolas Vandeput is a supply chain data scientist specialising in demand forecasting and inventory optimisation. He founded his consultancy company SupChains in 2016, delivering models and training .
Sprache: Englisch
Verlag: Walter De Gruyter Aug 2020, 2020
ISBN 10: 3110673916 ISBN 13: 9783110673913
Anbieter: buchversandmimpf2000, Emtmannsberg, BAYE, Deutschland
Taschenbuch. Zustand: Neu. Neuware -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.Walter de Gruyter, Genthiner Straße 13, 10785 Berlin 292 pp. Englisch.
Taschenbuch. Zustand: Neu. Data Science for Supply Chain Forecasting | Nicolas Vandeput | Taschenbuch | XXVIII | Englisch | 2021 | Walter de Gruyter | EAN 9783110671100 | Verantwortliche Person für die EU: Walter de Gruyter GmbH, De Gruyter GmbH, Genthiner Str. 13, 10785 Berlin, productsafety[at]degruyterbrill[dot]com | Anbieter: preigu.
Sprache: Englisch
Verlag: Walter De Gruyter Mär 2021, 2021
ISBN 10: 3110671107 ISBN 13: 9783110671100
Anbieter: AHA-BUCH GmbH, Einbeck, Deutschland
Taschenbuch. Zustand: Neu. Neuware - Using data science in order to solve a problem requires a scientific mindset more than coding skills. Data Science for Supply Chain Forecasting, Second Edition contends that a true scientific method which includes experimentation, observation, and constant questioning must be applied to supply chains to achieve excellence in demand forecasting. This second edition adds more than 45 percent extra content with four new chapters including an introduction to neural networks and the forecast value added framework. Part I focuses on statistical 'traditional' models, Part II, on machine learning, and the all-new Part III discusses demand forecasting process management. The various chapters focus on both forecast models and new concepts such as metrics, underfitting, overfitting, outliers, feature optimization, and external demand drivers. The book is replete with do-it-yourself sections with implementations provided in Python (and Excel for the statistical models) to show the readers how to apply these models themselves. This hands-on book, covering the entire range of forecasting-from the basics all the way to leading-edge models-will benefit supply chain practitioners, forecasters, and analysts looking to go the extra mile with demand forecasting. 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; Spyros Makridakis, professor at the University of Nicosia and director of the Institute For the Future (IFF); and Edouard Thieuleux, founder of AbcSupplyChain, discuss the general issues and challenges of demand forecasting and provide insights into best practices (process, models) and discussing how data science and machine learning impact those forecasts.The event will be moderated by Michael Gilliland, marketing manager for SAS forecasting software:https://youtu.be/1rXjXcabW2s.
Taschenbuch. Zustand: Neu. Inventory Optimization | Models and Simulations | Nicolas Vandeput | Taschenbuch | XXVI | Englisch | 2020 | Walter de Gruyter | EAN 9783110673913 | Verantwortliche Person für die EU: Walter de Gruyter GmbH, De Gruyter GmbH, Genthiner Str. 13, 10785 Berlin, productsafety[at]degruyterbrill[dot]com | Anbieter: preigu.
Sprache: Englisch
Verlag: Walter De Gruyter Aug 2020, 2020
ISBN 10: 3110673916 ISBN 13: 9783110673913
Anbieter: AHA-BUCH GmbH, Einbeck, Deutschland
Taschenbuch. Zustand: Neu. Neuware - 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 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 Forecasting (IBF):https://youtu.be/565fDQMJEEg.