Research on Overall Equipment Effectiveness for Cigarette Equipments Based on Data Mart and Data Mining

Li Lin, Huang Xiu, Wan Yunfei, Wang Guangchao

Abstract


In the basis of building data mart, this paper uses data mining clusters and association rule algorithms from people, machines, materials, regulations, environments and measurement systems to excavate the key influencing factors which influence the overall equipment effectiveness for cigarette equipments. It has a great significance for equipment management decision support, optimizing the equipment management assessment mechanism and enhancing the level of equipment management.


DOI
10.12783/dtetr/apetc2017/11291

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