10 Chapter 11Figure 11.1 Customer demand and forecasting.Figure 11.2 Categorisation of non‐normal demand patterns.Figure 11.3 Categorisation based on sources of demand characteristics.Figure 11.4 Categorisation by mean square error: SES (issue points,
) vs. C...Figure 11.5 Categorisation by mean square error: SES vs. SBA.
11 Chapter 12Figure 12.1 Maintenance generated demand and forecasting.Figure 12.2 Life cycle stages.Figure 12.3 TSB and Croston forecasts.Figure 12.4 Forecasting in context.Figure 12.5 Inventory‐forecasting interactions.
12 Chapter 13Figure 13.1 Intermittent series.Figure 13.2 Cumulative frequency percentages: three‐month overlapping blocks...Figure 13.3 Proportional reduction in variance of CDF estimates by using OB ...Figure 13.4 Cumulative frequency percentages (OB, NOB, and bootstrap).
13 Chapter 14Figure 14.1 Demand transitions from one period to the next.
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Intermittent Demand Forecasting
Context, Methods and Applications
John E. Boylan
Lancaster University
Lancaster, UK
Aris A. Syntetos
Cardiff University
Cardiff, UK

This edition first published 2021
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