A Fuzzy Associative Memory Modeling for Production Equipment Status Assessment

Overall Equipment Effectiveness or OEE is the most common method to measure the performance of production particularly for equipment status assessment. OEE comprises of three elements such as availability, performance and quality. The three elements consist of at least two factors which are known as parts of Six Big Losses. However, OEE itself is most sufficient to provide information to triggers a proper maintenance response for performance improvement. This paper proposed a model to determine the maintenance status of production equipment. Fuzzy Associative Memory (FAM) is customized to meet the requirement for performing analytical capability. Basically, it analyses the proportion of events that reduced an equipment's utilization which is caused nearly by equipment. FAM aids the assessment to map a relationship between the factors and the status. The model gives two points in hedonic scale to machine with two events happened caused by machine itself. Thus the condition is interpretable for that machine maintenance requirement. Model implementable as one of modules used in Enterprise Resource Planning for production improvement.