John A. Muckstadt, Amar Sapra

Principles of Inventory Management (eBook, PDF)

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• Format: PDF

Produktbeschreibung

This textbook presents models and solutions in inventory management. It begins with a "must-read" chapter discussing basic terminology, concepts, taxonomy, and tenets of inventory system and common mathematical assumptions underlying the models. With a systematic organization, it then presents various models such as the EOQ model, lot-sizing models, Newsvendor model, periodic review models with variable and fixed ordering cost, and a continuous time model. Additionally, it discusses methods in multiechelon systems. In summary it tries to establish relationships between the dicussed models and real situations and discusses some examples in detail. Not directly competitive with other textbooks in this field, (more mathematical than some, less than others) this graduate textbook will appeal to senior and first year graduate students in operations research, industrial engineering, and quantitative MBA programs and can also serve as a reference to persons in the industry.

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Produktdetails

• Verlag: Springer US
• Seitenzahl: 339
• Erscheinungstermin: 20. März 2010
• Englisch
• ISBN-13: 9780387689487
• Artikelnr.: 37287514

Inhaltsangabe

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.

Rezensionen

From the reviews:
"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)