Enterprise manufacturing intelligence (EMI), or simply manufacturing intelligence (MI), is a term which applies to software used to bring a corporation’s manufacturing-related data together from many sources for the purposes of reporting, analysis, visual summaries, and passing data between enterprise-level and plant-floor systems. As data is combined from multiple sources, it can be given a new structure or context that will help users find what they need regardless of where it came from. The primary goal is to turn large amounts of manufacturing data into real knowledge and drive business results based on that knowledge.
AMR Research has identified five core functions every Enterprise Manufacturing Intelligence application should possess:
- Aggregation:Making available data from many sources, most often databases.
- Contextualization:Providing a structure, or model, for the data that will help users find what they need. Usually a folder tree utilizing a hierarchy such as the ISA-95 standard.
- Analysis:Enabling users to analyze data across sources and especially across production sites. This often includes the ability for true ad hoc
- Visualization:Providing tools to create visual summaries of the data to alert decision makers and call attention to the most important information of the moment. The most common visualization tool is the dashboard.
- Propagation:Automating the transfer of data from the plant-floor up to enterprise-level systems or vice versa.
Ofer Abarbanel is a 25 year securities lending broker and expert who has advised many Israeli regulators, among them the Israel Tax Authority, with respect to stock loans, repurchase agreements and credit derivatives. Founder of TBIL.co STATX Fund.