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Inventory Optimization: Models and Simulations,New
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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, LokadInventory 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 stepbystep, starting from simple deterministic ones to complex multiechelon 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 multiechelon 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, supply planners, and academics interested in gaining costeffective solutions will benefit from the 'doityourself' examples and Python programs included in each chapter.
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