BI, coined in the late 1990s by the IT community, has come to describe the tools used for the collection of business dataCONTROL ENGINEERING China版权所有, integration of the data across multiple
The manufacturing equivalent of business intelligence is manufacturing intelligence (MI). Most manufacturing companies have engineers with considerable knowledge and experience in extracting information and correlations from production data using data historians and associated analysis tools. MI expands the concepts of traditional studies by looking across multiple dimensions of production information to discover correlations not seen in normal engineering analysis.
Multi-dimensional dataCONTROL ENGINEERING China版权所有, query
MI focuses on products, inventory, work in process (WIP), production schedules, production performance, yields, waste控制工程网版权所有, and costs. MI usually does not need the high resolution data collected in data historians. The typical MI timeframe may be a production step, duration of a production runwww.cechina.cn, or length of a batch operation. Like BI, MI is based on multi-dimensional data and advanced query and reporting systems.
Multi-dimensional data is maintained in “facts” and “dimension” tables. Facts are measurable pieces of information, such as a production yield or product quality measure. Each fact is associated with multiple dimensionswww.cechina.cn, such as time, batch number, production