From the results of observations at the company, the main problem found is that maintenance activities have not been carried out properly due to the tight production schedule. It is the reason for replacing components, only when the machine is damaged suddenly. The purpose of the study is to determine the type of machine that requires periodic maintenance, and critical components, along with how much reliability if applied through an information system. The case study method carried out is a quantitative method by processing data according to preventive maintenance. The analysis is carried out by determining the engine and critical components and then calculating the meantime to failure (MTTF) and mean time to repair (MTTR) to get the value of age replacement, availability, reliability, and downtime. The results achieved are increased availability and reliability and decreased total downtime by implementing proposed preventive maintenance for ladle, auto spray and heater components
Preventive Maintenance Modeling on Die Casting Machines with Information Systems
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