Principles of Inventory Management : When You Are Down to Four Order More Inventories Are Everywhere EOQ Model Power of Two Policies Dynamic Lot Sizing with Deterministic Demand Single Period Models Inventory Planning over Multiple Time Periods: Linear Cost Case Background Concepts: An Introduction to the ( #x2212; 1 ) Policy under Poisson Demand A Tactical Planning Model for Managing Recoverable Items in Multi Echelon Systems Reorder Point Lot Size Models: The Continuous Review Case Lot Sizing Models: The Periodic Review Case. Inventories are prevalent everywhere in the commercial world whether it be in retail stores manufacturing facilities government stockpile material Federal Reserve banks or even your own household. This textbook examines basic mathematical techniques used to sufficiently manage inventories by using various computational methods and mathematical models. Such models discussed include: EOQ model and extensions power of two models single and multi period models probabilistic lot sizing models multi echelon stochastic models Laplace and Normal demand models exact Poisson model and many more. Principles of Inventory Management begins with an introductory chapter in which the basics of inventory systems and mathematical assumptions for all models are grouped together. The text is presented in a way such that each section can be read independently and so the order in which the reader approaches the book can be inconsequential. It contains both deterministic and stochastic models along with algorithms that can be employed to find solutions to a variety of inventory control problems. Key topics include: * 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 prerequisite courses include introductory optimization methods probability theory (non measure theoretic) and stochastic processes.