Advances in Intermittent-Demand Forecasting

John Boylan and Aris Syntetos

Foresight: The International Journal of Applied Forecasting, 2022, issue 64, 4-8

Abstract: one of the most productive research partnerships in this generation of business forecasting has driven colleagues John Boylan (Lancaster U.) and Aris Syntetos (Cardiff) to craft major improvements to the methods employed to forecast demands for difficult data series. John and Aris have also presented new perspectives for understanding linkages between forecasting methods and requirements for production and inventory management. These threads now come together in their new book Intermittent Demand Forecasting: Context, Methods and Applications (Wiley, 2021). John had authored a tutorial, "Intermittent and Lumpy Demands: A Forecasting Challenge," in the inaugural issue of Foresight (2005), and the board thought the occasion of the new book would be perfect for an update on advances in the field these past 15 years. The authors agreed. Thus, our feature section in this issue begins with John and Aris's presentation Advances in Intermittent-Demand Forecasting (IDf). Copyright International Institute of Forecasters, 2022

Date: 2022
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