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Many companies experienced a halt of operation because their production machines are damaged. As a result, customer demand is not fulfilled; such productivity decreases. This study conducted at PT. PG Candi Baru Sidoarjo. They often experience a suffered engine damage on their rolling and grinding station. The purposes of this study were to improve their machine performance at the grinding station by using the Total Productive Maintenance (TPM) and Failure Mode and Effect Analysis (FMEA), to measure the value of Total Productive Maintenance (TPM), and to determine the type of damage that often occurs using the Age Replacement method in order to improve engine maintenance schedule. As the results, the Overall Equipment Effectiveness (OEE) at the grinding station decreased from 2015 to 2016 in the amount of 74.6% to 69.7%. The most frequent types of damage were the IMC chain abrasion, IMC chain breaking, dropping/off track and slip mill. For the type of squashed IMC damage, treatment was carried out on the 12th day at the cost of IDR 3,806,425.92. The dropped/exited IMC from the operation line was repaired on the 13th day at the expense of IDR 5,614,466.88 For the type of rolling slip damage, treatedment done on the 10th day at the cost of IDR 34,272,482.34.

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Queues are waiting for lines from customers to get service. The queue is caused by the needs of consumers to be served beyond the ability of service facilities, so consumers who come cannot immediately get service. Queue problems at ports often occur every day. Ship loading and unloading services is a queuing phenomenon in daily life. This queue can be caused by damage to the equipment that supports loading and unloading, labor, availability of warehouses, and the limited capacity of berths at berths and others. In maintaining optimal port services, it is necessary to avoid long waiting times and low queuing system utilities. Queues at the mooring service system occur due to mismatch between planning and realization. Waiting time for vessels inside and outside the port area is calculated using the simulation method in queuing theory so that it becomes a queuing model. Until finally, it produces the optimum berthing service system. Based on the simulation results obtained value, and which is much shorter than the conditions on realization. The potential causes of these conditions are divided into three factors, namely, internal factors, external factors, and weather factors.