Service Parts Management: Demand Forecasting and Inventory Control

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.