DEVELOPING AUTO-ASSIGN TECHNICIAN SYSTEM USING HUNGARIAN ALGORITHM TO INCREASE AVAILABILITY ON AUTO ROOTING AREA AT COMPANY X

Abstract

Maintenance strategies are important in manufacturing companies, where the right maintenance strategies could achieve high performance of the machine. In Company X, the auto rooting area has the largest number of machines, it has 319 machines. Therefore the downtime in the area is also high, which causes low availability of the machine. Low availability has two kinds of contribution: low reliability measured by MTBF and low maintainability measured by MTTR. Currently, the MTTR is 138.04 minutes in the auto rooting area, and the MTBF is 1,505.33 minutes. Thus, the availability is 91.60% which is still below the target. The main problem is the technician who handles the downtime is not expert enough since they are not assigned to the downtime. Therefore, this research's improvement is to develop an auto-assign system using Hungarian algorithm in Python programming language to assign technicians with the lowest reparation duration time every downtime occur. The assignment will show on the monitor, representing the machine condition in the area. By implementing the auto-assign system, the MTTR is reduced to 86.59 minutes, and the MTBF is increased to 1,652.61 minutes. The availability also increased to 95.02%.