Intermittent Demand Forecasting - Context, methods and applications covers the entire breadth of work in intermittent demand forecasting and the very latest research findings in the following topics: * time series (parametric) methods * bootstrapping, both parametric and non-parametric * causal models * neural networks In order to enable a full understanding of how these methods may be implemented and how they may complement existing operational functions, other chapters include: * demand classification (what exactly constitutes intermittence and how it may be distinguished from other patterns in operational terms) * measures for assessing intermittent demand forecasting accuracy * interactions between forecasting and stock control * qualitative considerations (soft managerial issues that should be taken into account) The methods and approaches used in forecasting intermittent demands is relevant to many industries such as the military, aerospace, automotive, and information technology.
John E. Boylan is Professor of Business Analytics at Lancaster University, an Editor-in-Chief of the Journal of the Operational Research Society, and President of the International Society for Inventory Research.
Aris A. Syntetos is Professor of Operational Research and Operations Management at Cardiff University, an Editor-in-Chief of the IMA Journal of Management Mathematics, and Director of the International Institute of Forecasters.
Title: Intermittent Demand Forecasting: Context, Methods and Applications
Author: Boylan, John E.,Syntetos, Aris A.
ISBN: 9781119976080
Binding:
Publisher: John Wiley and Sons Ltd
Publication Date: 2021-06-17
Number of Pages: 400
Weight: 0.8621 kg
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. Spyros Makridakis, 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. Suresh Acharya, 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. Thomas R. Willemain, Professor Emeritus, Rensselaer Polytechnic Institute