000 04290nam a22006015i 4500
001 978-0-387-27288-7
003 DE-He213
005 20161121230924.0
007 cr nn 008mamaa
008 100301s2005 xxu| s |||| 0|eng d
020 _a9780387272887
_9978-0-387-27288-7
024 7 _a10.1007/b138879
_2doi
050 4 _aHD30.23
072 7 _aKJT
_2bicssc
072 7 _aKJMD
_2bicssc
072 7 _aBUS049000
_2bisacsh
082 0 4 _a658.40301
_223
100 1 _aMuckstadt, John A.
_eauthor.
245 1 0 _aAnalysis and Algorithms for Service Parts Supply Chains
_h[electronic resource] /
_cby John A. Muckstadt.
264 1 _aNew York, NY :
_bSpringer New York,
_c2005.
300 _aXVIII, 278 p. 57 illus.
_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 _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 _aBusiness.
650 0 _aOperations research.
650 0 _aDecision making.
650 0 _aApplied mathematics.
650 0 _aEngineering mathematics.
650 0 _aMathematical models.
650 0 _aCalculus of variations.
650 0 _aProbabilities.
650 0 _aEngineering economics.
650 0 _aEngineering economy.
650 1 4 _aBusiness and Management.
650 2 4 _aOperation 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
912 _aZDB-2-SMA
950 _aMathematics and Statistics (Springer-11649)
999 _c505977
_d505977