The market fluctuations can reduce drastically the performance of manufacturing systems. Among several configurations, the configuration with a reminder machine/cell in a manufacturing system has been recently studied. The remainder machine is able to perform all the manufacturing operations needed in the manufacturing system. This paper investigates the effect of a hybrid preventive/corrective maintenance policy in a manufacturing system with reminder machine. The maintenance policy proposed is a trade off between the preventive and corrective approach. A simulation environment developed by Rockwell ARENA is proposed to test the proposed approach. The maintenance policy is tested in static and very dynamic environment. The performance measures are compared to a model with pure corrective policy. The simulation results show that the proposed maintenance policy with the use of reminder machine can improve significantly the performance of manufacturing systems.

Maintenance policy in job-shop manufacturing systems with reminder cell

RENNA, PAOLO
2016-01-01

Abstract

The market fluctuations can reduce drastically the performance of manufacturing systems. Among several configurations, the configuration with a reminder machine/cell in a manufacturing system has been recently studied. The remainder machine is able to perform all the manufacturing operations needed in the manufacturing system. This paper investigates the effect of a hybrid preventive/corrective maintenance policy in a manufacturing system with reminder machine. The maintenance policy proposed is a trade off between the preventive and corrective approach. A simulation environment developed by Rockwell ARENA is proposed to test the proposed approach. The maintenance policy is tested in static and very dynamic environment. The performance measures are compared to a model with pure corrective policy. The simulation results show that the proposed maintenance policy with the use of reminder machine can improve significantly the performance of manufacturing systems.
2016
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11563/120514
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