000			04069nam a22005055i 4500
001			978-0-387-27288-7
003			DE-He213
005			20250710083938.0
007			cr nn 008mamaa
008			100301s2005 xxu| s |||| 0|eng d
020			_a9780387272887 _a99780387272887
024	7		_a10.1007/b138879 _2doi
082	0	4	_a658.40301 _223
100	1		_aMuckstadt, John A. _eauthor.
245	1	0	_aAnalysis and Algorithms for Service Parts Supply Chains _h[recurso electrónico] / _cby John A. Muckstadt.
264		1	_aNew York, NY : _bSpringer New York, _c2005.
300			_aXVII, 277 p. _bonline resource.
336			_atext _btxt _2rdacontent
337			_acomputer _bc _2rdamedia
338			_arecurso en línea _bcr _2rdacarrier
347			_atext file _bPDF _2rda
490	1		_aSpringer Series in Operations Research and Financial Engineering, _x1431-8598
505	0		_aBackground: Analysis of (s-1, s) and Order-Up-To Policies -- Background Concepts: An Introduction to the (s-1, s) Policy under Poisson and Compound Poisson Demand -- An Exact Model for a Depot-Base Two Echelon Inventory and Repair System -- Tactical Planning Models for Managing Recoverable Items -- A Continuous Time, Multi-Echelon, Multi-Item System with Time-Based Service Level Constraints -- Lateral Resupply and Pooling in Multi-Echelon Systems -- Capacity-limited Systems -- Extension of Palm's Theorem to Nonstationary Demand Processes -- Real-time Execution Systems.
520			_aServices requiring parts has become a $1.5 trillion business annually worldwide, creating a tremendous incentive to manage the logistics of these parts efficiently by making planning and operational decisions in a rational and rigorous manner. This book provides a broad overview of modeling approaches and solution methodologies for addressing service parts inventory problems found in high-powered technology and aerospace applications. The focus in this work is on the management of high cost, low demand rate service parts found in multi-echelon settings. This unique book, with its breadth of topics and mathematical treatment, begins by first demonstrating the optimality of an order-up-to policy [or (s-1,s)] in certain environments. This policy is used in the real world and studied throughout the text. The fundamental mathematical building blocks for modeling and solving applications of stochastic process and optimization techniques to service parts management problems are summarized extensively. A wide range of exact and approximate mathematical models of multi-echelon systems is developed and used in practice to estimate future inventory investment and part repair requirements. The text may be used in a variety of courses for first-year graduate students or senior undergraduates, as well as for practitioners, requiring only a background in stochastic processes and optimization. It will serve as an excellent reference for key mathematical concepts and a guide to modeling a variety of multi-echelon service parts planning and operational problems.
650		0	_aECONOMICS.
650		0	_aMATHEMATICS.
650		0	_aMATHEMATICAL OPTIMIZATION.
650		0	_aDISTRIBUTION (PROBABILITY THEORY).
650		0	_aENGINEERING ECONOMY.
650	1	4	_aECONOMICS/MANAGEMENT SCIENCE.
650	2	4	_aOPERATIONS RESEARCH/DECISION THEORY.
650	2	4	_aPROBABILITY THEORY AND STOCHASTIC PROCESSES.
650	2	4	_aAPPLICATIONS OF MATHEMATICS.
650	2	4	_aMATHEMATICAL MODELING AND INDUSTRIAL MATHEMATICS.
650	2	4	_aCALCULUS OF VARIATIONS AND OPTIMAL CONTROL; OPTIMIZATION.
650	2	4	_aENGINEERING ECONOMICS, ORGANIZATION, LOGISTICS, MARKETING.
710	2		_aSpringerLink (Online service)
773	0		_tSpringer eBooks
776	0	8	_iPrinted edition: _z9780387227153
830		0	_aSpringer Series in Operations Research and Financial Engineering, _x1431-8598
856	4	0	_uhttp://dx.doi.org/10.1007/b138879 _zVer el texto completo en las instalaciones del CICY
912			_aZDB-2-SBE
942			_2ddc _cER
999			_c56655 _d56655