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Books > Business & Economics > Business & management > Management & management techniques > Operational research
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Inventory Optimization - Models and Simulations (Paperback)
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Inventory Optimization - Models and Simulations (Paperback)
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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,
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.
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