Abstract:
This research presents a comparison study of spare part inventory management policies
for machine maintenance. The study focused on spare part items that are used in critical machine
in the process with low and uncertain but behaviorally identifiable demand. The spare part items
with Normal, Exponential, Weibull and Lognormal, Empirical and Poisson distribution were
compared based on the total cost and service level using three control policies Q-r, T-S and
Max-Min. The comprehensive comparison study was performed using the Process analyzer
function of ARENA. The result indicated that the Max-Min and Q-r policies provided the best but
insignificantly different total cost and service level. Therefore, it can be concluded from the result
of this research that the Max-Min and Q-r policies should be implemented in managing and
controlling of spare part to support the maintenance function of critical machines in the process
regardless of demand distribution type.