OPTIMIZATION OF DETERMINING MAINTENANCE INTERVALS WITH THE MARKOV CHAIN METHOD TO MINIMIZE MAINTENANCE COSTS IN PT. BBI

Abstract

PT BBI is a company engaged in producing machinery, industrial equipment,
and foundry. PT BBI has overgrown as a company that focuses on manufacturing and
delivering products such as oil and gas/refinery/petrochemical industries, power
plans, iron castings, precision machinery centers, etc. PT BBI uses various kinds of
machines to support its production process. Some devices have often experienced
damage and caused downtime in recent years, namely radial drilling machines and
overhead cranes. In addition, machine damage also causes cost overruns due to
damage that can harm the company. Engine damage caused is due to the company's
poor maintenance policy. Judging from these problems, planning a maintenance
system with a suitable method will help the machines and production equipment
owned by PT. BBI is protected from damage that occurs periodically. The Markov
Chain method was chosen because it has advantages over other maintenance methods
because it produces more optimal maintenance costs with a regular maintenance
scheduling system. The processing results obtained a total savings of 33% by applying
the Markov Chain proposed maintenance method with maintenance intervals every 5
months for radial drilling machines and once every 3 months for 10T overhead cranes.