John E. Boylan - Intermittent Demand Forecasting
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- Название:Intermittent Demand Forecasting
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Intermittent Demand Forecasting: краткое содержание, описание и аннотация
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The first text to focus on the methods and approaches of intermittent, rather than fast, demand forecasting
Intermittent Demand Forecasting No prior knowledge of intermittent demand forecasting or inventory management is assumed in this book. The key formulae are accompanied by worked examples to show how they can be implemented in practice. For those wishing to understand the theory in more depth, technical notes are provided at the end of each chapter, as well as an extensive and up-to-date collection of references for further study. Software developments are reviewed, to give an appreciation of the current state of the art in commercial and open source software.
“Intermittent demand forecasting may seem like a specialized area but actually is at the center of sustainability efforts to consume less and to waste less. Boylan and Syntetos have done a superb job in showing how improvements in inventory management are pivotal in achieving this. Their book covers both the theory and practice of intermittent demand forecasting and my prediction is that it will fast become the bible of the field.” —
, Professor, University of Nicosia, and Director, Institute for the Future and the Makridakis Open Forecasting Center (MOFC).
“We have been able to support our clients by adopting many of the ideas discussed in this excellent book, and implementing them in our software. I am sure that these ideas will be equally helpful for other supply chain software vendors and for companies wanting to update and upgrade their capabilities in forecasting and inventory management.”—
, VP, Research and Development, Blue Yonder.
“As product variants proliferate and the pace of business quickens, more and more items have intermittent demand. Boylan and Syntetos have long been leaders in extending forecasting and inventory methods to accommodate this new reality. Their book gathers and clarifies decades of research in this area, and explains how practitioners can exploit this knowledge to make their operations more efficient and effective.”—
, Professor Emeritus, Rensselaer Polytechnic Institute.
.
). To assess the effect of different OUT levels (
) on the fill rate (
), the formula given in Eq. (3.3)is often used.
is the demand over the protection interval (
) and
is the long‐run average demand per (single) period. We shall refer to this as the traditional fill rate calculation.
and
;
).
)



)
)
, is found as a weighted average of the probabilities of demand in a single period (see Table 3.7). The calculation is:
. This value, and the overall values for expected unsatisfied demand per period are substituted into Eq. (3.3)to give the fill rates of 84.4% and 93.8% for OUT levels of seven and eight units, respectively.