A method for analyzing and optimizing
changeover events in production processes of a manufacturing
system by a smart algorithms (compute which uses data captured by a standalone Overall Equipment Effectiveness (OEE) measurement
system, the following steps of Identifying minimum data requirements and extracting them from the captured data, in particular a manufacturing equipment name, timestamps for the start and end of a task, a description of an executed task, at least one manufacturing
batch number, a quantity number for produced products in a production event and available operator remarks; Sorting the extracted minimum data requirements for the identified
changeover events by the computer through using a lookup- table which contains standard acronyms which are defined by operations for a
changeover class or availability loss categories, resulting in a
data set for each category; Analyzing every
data set with regard to the identified changeover events for different scenarios with different production
process conditions, wherein the data in all datasets is assembled in chronological order for an equipment; Optimizing the data by the computer through assigning a changeover category to the identified changeover events via a look-up table containing a
list of key changeover types, merging any identified sub-sequent changeover events to a final changeover event, and assigning all available associated user-defined attributes to the identified and analyzed changeover events; Visualizing the data to a user via a
user interface; and Adapting the production processes in the manufacturing
system to improve its operational efficiency by the user, comprising.