Designing Early Warning System as Preventive Maintenance to Maintain Agile Resilience of Mineral Water Production Process

Mineral water is the most consumed drinking water in the world; it requires good quality because it affects health. PT Indra Karya produces bottled mineral water that has a variety of 330ml, 600ml, and gallon packaging. The occurrence of damage to the Tacung Cartridge Filter machine caused one batch of mineral water production to be discarded because it did not meet the pH and ozone standards, which caused turbidity. Preventive maintenance of the machine is needed so that the production of mineral water is continuous and according to the specified standards. The purpose of the research is to conduct preventive maintenance with an Early Warning System approach to maintain resilience in the mineral water production process.

The first research step is the calculation of Mean Time to Failure, after which the calculation of machine reliability is carried out. The second step, the application of the Early Warning System, provides timely information about potential risks and preventive steps that need to be taken. The third step is to calculate the Agile Resilience Index by filling out the checklist.

The results of the Mean Time to Failure calculation obtained that the Air Filter component has an optimal time of use for 118 days, the Seals and O-Ring component has 120 days, and the Support Core component for 123 days. The results of the reliability calculation after the Mean Time to Failure calculation obtained a reliability of 88%. The time interval data obtained and calculated using MTTF results in the optimal time used as a measuring tool in the application of preventive maintenance with the Early Warning System. An Agile Resilience Index value of 4.55 was obtained. This value shows that the company has implemented resilience and agile practices after preventive maintenance.

The research is expected to improve adaptation, recovery of the company from disruptions, and help determine the maintenance and spare parts needed and decision-making related to costs.