Introduction
8.2 Normal Demand
8.3 Poisson Demand
8.4 Compound Poisson Demand
8.5 Variable Lead Times
8.6 Chapter Summary
Technical Notes
16 9 Accuracy and Its Implications 9.1 Introduction 9.2 Forecast Evaluation 9.3 Error Measures in Common Usage 9.4 Criteria for Error Measures 9.5 Mean Absolute Percentage Error and its Variants 9.6 Measures Based on the Mean Absolute Error 9.7 Measures Based on the Mean Error 9.8 Measures Based on the Mean Square Error 9.9 Accuracy of Predictive Distributions 9.10 Accuracy Implication Measures 9.11 Chapter Summary Technical Notes
17 10 Judgement, Bias, and Mean Square Error 10.1 Introduction 10.2 Judgemental Forecasting 10.3 Forecast Bias 10.4 The Components of Mean Square Error 10.5 Chapter Summary Technical Notes
18 11 Classification Methods 11.1 Introduction 11.2 Classification Schemes 11.3 ABC Classification 11.4 Extensions to the ABC Classification 11.5 Conceptual Clarifications 11.6 Classification Based on Demand Sources 11.7 Forecasting‐based Classifications 11.8 Chapter Summary Technical Notes
19 12 Maintenance and Obsolescence 12.1 Introduction 12.2 Maintenance Contexts 12.3 Causal Forecasting 12.4 Time Series Methods 12.5 Forecasting in Context 12.6 Chapter Summary Technical Notes
20 13 Non‐parametric Methods 13.1 Introduction 13.2 Empirical Distribution Functions 13.3 Non‐overlapping and Overlapping Blocks 13.4 Comparison of Approaches 13.5 Resampling Methods 13.6 Limitations of Simple Bootstrapping 13.7 Extensions to Simple Bootstrapping 13.8 Chapter Summary Technical Notes
21 14 Model‐based Methods 14.1 Introduction 14.2 Models and Methods 14.3 Integer Autoregressive Moving Average (INARMA) Models 14.4 INARMA Parameter Estimation 14.5 Identification of INARMA Models 14.6 Forecasting Using INARMA Models 14.7 Predicting the Whole Demand Distribution 14.8 State Space Models for Intermittence 14.9 Chapter Summary Technical Notes
22 15 Software for Intermittent Demand 15.1 Introduction 15.2 Taxonomy of Software 15.3 Framework for Software Evaluation 15.4 Software Features and Their Availability 15.5 Training 15.6 Forecast Support Systems 15.7 Alternative Perspectives 15.8 Way Forward 15.9 Chapter Summary Technical Note
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