Please use this identifier to cite or link to this item: https://repository.iimb.ac.in/handle/2074/12757
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dc.contributor.authorMuckstadt, John A
dc.contributor.authorSapra, Amar
dc.date.accessioned2020-06-29T15:15:18Z-
dc.date.available2020-06-29T15:15:18Z-
dc.date.issued2010
dc.identifier.isbn9780387689487
dc.identifier.isbn9780387244921
dc.identifier.isbn9781493938636
dc.identifier.issn1431-8598
dc.identifier.urihttps://repository.iimb.ac.in/handle/2074/12757-
dc.description.abstractInventories 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.
dc.publisherSpringer-Verlag New York
dc.relation.ispartofseriesSpringer Series in Operations Research and Financial Engineering
dc.subjectInventory Management
dc.subjectEconomics
dc.titlePrinciples of inventory control: when you are down to four order more
dc.typeBook
dc.pagesXVIII, 339p.
Appears in Collections:2010-2019
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