* Economic order quantity (EOQ) model
* Power-of-two policies
* Dynamic lot sizing
* Single and multi-period stochastic models
* Echelon-based approaches
* Multi-echelon systems
* Single and multi-item models
With exercises at the end of each chapter and a clear, systematic exposition, this textbook will appeal to advanced undergraduate and first-year graduate students in operations research, industrial engineering, and quantitative MBA programs. It also serves as a reference for professionals in both industry and government worlds. The prerequisitecourses include introductory optimization methods, probability theory (non-measure theoretic), and stochastic processes.
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"This book on inventory management is based on a collection of lectures at Cornell University and consists of 10 chapters. ... The book has been written in a form so that sections can be mostly independently read. Each chapter finishes with some exercises. This textbook is particularly suitable for graduate students which are familiar with basic optimization methods, probability theory and stochastic processes. In addition, it can also be used by practitioners as a reference tool." (Frank Werner, Zentralblatt MATH, Vol. 1186, 2010)