Research of online analytical processing and data mining for production cost of coal enterprises
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摘要: 针对煤炭企业生产成本分析与控制存在准确性低、决策支持不够等问题,提出了一种生产成本管理与决策支持设计方案。该方案采用数据集市采集整个生产范围内的生产成本,并对生产成本进行实时归集和核算,采用联机分析处理和数据挖掘技术获得隐藏在生产成本内部的规律和趋势,从而为决策者提供决策支持。实际应用表明,该方案实现了生产成本的实时分析与控制。Abstract: In view of problems of low accuracy and inadequate decision support existed in analysis and control of production cost of coal enterprises, the paper proposed a design scheme of production cost management and decision support. The scheme uses data market to collect the production cost in whole production range and make real-time collection and assignment for the production cost, and it uses technologies of online analytical processing and data mining to get law and trend hided in internal of the production cost, so as to provide decision support for decision-maker. The actual application shows that the scheme realizes real-time analysis and control for the production cost.
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Key words:
- coal enterprise /
- production cost /
- data market /
- online analytical processing /
- data mining /
- decision tree
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