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http://dx.doi.org/10.12812/ksms.2017.19.3.97

A study on service parts demand forecasting considering parts life cycle  

Kwon, Ick-Hyun (Department of Industrial and Management Engineering, Inje University)
Publication Information
Journal of the Korea Safety Management & Science / v.19, no.3, 2017 , pp. 97-107 More about this Journal
Abstract
This research studies on the demand forecasting for service parts considering parts life cycle, that gets relatively less attentions in the field of forecasting. Our goal is to develop forecasting method robust across many situations, not necessarily optimal for a limited number of specific situations. For this purpose, we first extensively analyze the drawbacks of the existing forecasting methods, then we propose the new demand forecasting method by using these findings and reinforcement leaning technique. Using simulation experiments, we proved that the proposed forecasting method is better than the existing methods under various experimental environments.
Keywords
Demand forecasting; Service part; Life cycle; Inventory obsolescence; Reinforcement learning;
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