Track: Reliability and Maintenance

Abstract

The trend of coal production in Indonesia has been increasing since 2020. This increase in coal production also has an impact on sales of heavy equipment. Heavy equipment sales have increased from 2020 to the first semester of 2022. Mining haul trucks are currently equipped with industrial 4.0 technology, namely IoT, which can be used to monitor equipment health. Through predictive maintenance or maintenance 4.0, companies can manage resources and energy efficiently. The complexity of technology and this digital revolution if not managed properly will have a negative impact, one of them is reducing the competitiveness of a company. This study aims to identify maturity levels of maintenance in coal mining actors in Indonesia, especially about data driven asset management. There are four maintenance maturity levels that will be assessed: visual inspections, instrument inspections, real time monitoring, and predictive maintenance in industry 4.0. It will be combined with three data maturity levels: initial, established, and advanced. Questionnaire is used to collect opinions of maintenance managers as the owner of maintenance process about their experience in conducting maintenance. It is then summarized to state maturity level of maintenance practices in an Indonesian coal mining contracting company. It is concluded that maintenance characteristics in this company mostly fit with predictive maintenance in industry 4.0 characteristics.