Service parts management : demand forecasting and inventory control

With 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 o...

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Altres autors: Altay, Nezih (Director editorial), Litteral, Lewis A., 1953- (Director editorial)
Format: Livre numérique
Idioma:Anglais
Publicat: London : Springer London [20..].
Cham : Springer Nature
Edició:1st ed. 2011.
Accés en línia:Accès sur la plateforme de l'éditeur
Accès sur la plateforme Istex
Accès Université d'Orléans
Accès INSA CVL
Nota: Archives Springer e-books (Licence nationale)
Archives Springer e-books (Licence nationale)
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Edition sous un autre format:• Service Parts Management, Texte imprimé, 9780857290380
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505 1 |a 1. 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 
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520 |a With 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 
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