000			04167nam a22005415i 4500
001			978-0-387-68948-7
003			DE-He213
005			20140220084454.0
007			cr nn 008mamaa
008			100715s2010 xxu| s |||| 0|eng d
020			_a9780387689487 _9978-0-387-68948-7
024	7		_a10.1007/978-0-387-68948-7 _2doi
050		4	_aQA402-402.37
050		4	_aT57.6-57.97
072		7	_aKJT _2bicssc
072		7	_aKJM _2bicssc
072		7	_aBUS049000 _2bisacsh
072		7	_aBUS042000 _2bisacsh
082	0	4	_a519.6 _223
100	1		_aMuckstadt, John A. _eauthor.
245	1	0	_aPrinciples of Inventory Management _h[electronic resource] : _bWhen You Are Down to Four, Order More / _cby John A. Muckstadt, Amar Sapra.
250			_a1.
264		1	_aNew York, NY : _bSpringer New York, _c2010.
300			_aXVIII, 339 p. _bonline resource.
336			_atext _btxt _2rdacontent
337			_acomputer _bc _2rdamedia
338			_aonline resource _bcr _2rdacarrier
347			_atext file _bPDF _2rda
490	1		_aSpringer Series in Operations Research and Financial Engineering, _x1431-8598
505	0		_aInventories 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 ( − 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.
520			_aInventories 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.
650		0	_aMathematics.
650		0	_aOperations research.
650		0	_aIndustrial engineering.
650	1	4	_aMathematics.
650	2	4	_aOperations Research, Mathematical Programming.
650	2	4	_aOperations Research/Decision Theory.
650	2	4	_aApplications of Mathematics.
650	2	4	_aIndustrial and Production Engineering.
700	1		_aSapra, Amar. _eauthor.
710	2		_aSpringerLink (Online service)
773	0		_tSpringer eBooks
776	0	8	_iPrinted edition: _z9780387244921
830		0	_aSpringer Series in Operations Research and Financial Engineering, _x1431-8598
856	4	0	_uhttp://dx.doi.org/10.1007/978-0-387-68948-7
912			_aZDB-2-SMA
999			_c109766 _d109766