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008 150903s2011 xxk| o |||| 0|eng d
020 _a9780857290397
_99780857290397
024 7 _a10.1007/9780857290397
_2doi
035 _avtls000333784
039 9 _a201509030218
_bVLOAD
_c201404130532
_dVLOAD
_c201404092321
_dVLOAD
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_zstaff
040 _aMX-SnUAN
_bspa
_cMX-SnUAN
_erda
050 4 _aTA177.4-185
100 1 _aAltay, Nezih.
_eeditor.
_9306360
245 1 0 _aService Parts Management :
_bDemand Forecasting and Inventory Control /
_cedited by Nezih Altay, Lewis A. Litteral.
264 1 _aLondon :
_bSpringer London,
_c2011.
300 _axiv, 311 páginas 93 ilustraciones
_brecurso en línea.
336 _atexto
_btxt
_2rdacontent
337 _acomputadora
_bc
_2rdamedia
338 _arecurso en línea
_bcr
_2rdacarrier
347 _aarchivo de texto
_bPDF
_2rda
500 _aSpringer eBooks
505 0 _a1. Intermittent Demand: Estimation and Statistical Properties -- 2. Distributional Assumptions for Parametric Forecasting of Intermittent Demand -- 3. Decision Trees for Forecasting Trended Demand -- 4. The Impact of Aggregation Level on Lumpy Demand Management -- 5. Bayesian Forecasting of Spare Parts Using Simulation -- 6. A Review of Bootstrapping for Spare Parts Forecasting -- 7. A New Inventory Model for Aircraft Spares -- 8. Forecasting and Inventory Management for Spare Parts: An Installed Base Approach -- 9. A Decision Making Framework for Managing Maintenance Spare Parts In Case of Lumpy Demand: Action Research in the Avionic Sector -- 10. Configuring Single-Echelon Systems using Demand Categorization -- 11. Optimal and Heuristic Solutions for the Spare Parts Inventory Control Problem -- 12. Reliable Stopping Rules for Stocking Spare Parts with Observed Demand of No More Than One Unit -- 13. Reactive Tabu Search for Large Scale Service Parts Logistics Network Design and Inventory Problems -- 14. Common Mistakes and Guidelines for Change in Service Parts Management.
520 _aWith the pressure of time-based competition increasing, and customers demanding faster service, availability of service parts becomes a critical component of manufacturing and servicing operations. Service Parts Management first focuses on intermittent demand forecasting and then on the management of service parts inventories. It guides researchers and practitioners in finding better management solutions to their problems and is both an excellent reference for key concepts and a leading resource for further research. Demand forecasting techniques are presented for parametric and nonparametric approaches, and multi echelon cases and inventory pooling are also considered. Inventory control is examined in the continuous and periodic review cases, while the following are all examined in the context of forecasting: • error measures, • distributional assumptions, and • decision trees. Service Parts Management provides the reader with an overview and a detailed treatment of the current state of the research available on the forecasting and inventory management of items with intermittent demand. It is a comprehensive review of service parts management and provides a starting point for researchers, postgraduate students, and anyone interested in forecasting or managing inventory.
590 _aPara consulta fuera de la UANL se requiere clave de acceso remoto.
700 1 _aLitteral, Lewis A.
_eeditor.
_9306361
710 2 _aSpringerLink (Servicio en línea)
_9299170
776 0 8 _iEdición impresa:
_z9780857290380
856 4 0 _uhttp://remoto.dgb.uanl.mx/login?url=http://dx.doi.org/10.1007/978-0-85729-039-7
_zConectar a Springer E-Books (Para consulta externa se requiere previa autentificación en Biblioteca Digital UANL)
942 _c14
999 _c281028
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