Research on Demand Forecast of Project Materials Based on Classifier

Jun-jun GAO, Peng-peng TIAN, Fang-hua HONG

Abstract


Based on the phenomenon that companies often encounter difficult multi-project management with a variety of project materials, this paper put forward a project material demand forecasting model on the basis of classifier. First, C4.5 decision tree classification algorithm was applied to training set data, which generated classifier. Then, the classifier was used to sort out test set data. Finally, demand forecasting about the post-classified project materials was conducted. The empirical results showed that this classification method has improved the accuracy of project materials demand plan.

Keywords


Multi-project Management, Project Materials Demand, Classifier, Demand Forecasting

Publication Date


2016-11-29 00:00:00


DOI
10.12783/dtem/icem2016/4097

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