Title: Maintenance policy in job-shop manufacturing systems with reminder cell

Authors: Paolo Renna

Addresses: School of Engineering, University of Basilicata, Via dell'Ateneo Lucano, 10, 85100 Potenza, Italy

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.

Keywords: maintenance policy; job shops; discrete event simulation; DES; reminder cells; manufacturing industry; remainder machines; preventive maintenance; corrective maintenance.

DOI: 10.1504/IJSOM.2016.077783

International Journal of Services and Operations Management, 2016 Vol.24 No.4, pp.459 - 483

Received: 19 Nov 2014
Accepted: 04 Jan 2015

Published online: 15 Jul 2016 *

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