Inventory Optimization: Models and Simulations [Perfect Paperback] Vandeput, Nicolas
Inventory Optimization: Models and Simulations [Perfect Paperback] Vandeput, Nicolas
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Return Policy 1. Return Window - Eligible for return within 30 days of delivery. 1940. Return Conditions - The book must be brand new (unused, unmarked, and undamaged). Important Notes: If the returned book is damaged or missing components, the refund may be denied. If the book arrives damaged (e.g., due to shipping issues), a full refund will be issued. For returns due to non-quality issues (e.g., buyer’s change of mind), the customer must cover return shipping costs.
ABOUT THE AUTHOR
Excelente libro como muy buena base e incluso códigos para diseñar una politica de inventarios robusta. Muy recomendable para todo quien este en las areas de Planeacion de la Cadena de Suministro.
Good introduction to inventory management!
Day to day applicability of the inventory policies formulas are well explained.. completed the deterministic supply chain part..about to start the stochastic version ( 2 parts of the book)
Very well explained, lot of ideas and formulas. Now only meed to learn Python
If you are a reasonably well-learnèd inventory manager who understands basic statistics, Excel, and Python you will adore this book. I use this book as my go-to field manual when designing inventory optimization at work. The two best books on SCM that I have ever found are this book and Vandeput's other book on Data Science for Supply Chain Forecasting. Your IQ does need to be somewhat high to get anything out of this book (if you failed statistics don't bother), but if you have the background and you're passionate about technical things you will eat this up.I highly recommend this if you're an advanced practitioner attempting to do stochastic inventory control for your firm. I highly recommend this for anyone who is in any sort of masters program in SCM too — I would say it's equivalent to roughly 8 semester hours of credits in academia.A final word: if you're into this stuff, please do yourself a favor and get on Linux. WSL on Windows + VSCode editor running WSL remote is where most people should start (if you're a business type locked into Excel). From there you can deploy your stuff on with Docker to cloud for automated compute. Mac probably works too, just stay away from native Windows for the Python ecosystem tools, that's why Microsoft put Linux into Windows so you could have the best of both worlds for prototyping things rapidly.
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