Flexibility configurations and preventive maintenance impact on job-shop manufacturing systems

Abstract

Manufacturing systems need to be able to work under the dynamic and uncertain production environment. Machine and routing flexibility combined with preventive maintenance actions can improve the performance of the manufacturing systems under dynamic conditions. This paper evaluates different levels of machine and routing flexibility combined with different degrees of preventive maintenance policy. The performance measures considered are throughput, work in process and throughput. The performance measures are compared with a system without any flexibility and no preventive maintenance actions. Different levels of flexibility and preventive maintenance actions are examined under a simulation environment. The simulation results highlight more important factors for the performance measures and the best combination of the factors to improve the performance.

A constructive algorithm to maximize the useful life of a mechanical system subjected to ageing, with non-resuppliable spares parts

“…Briefly: -spares parts are characterized by intermittent, irregular or lumpy demand, that is very hard to be forecasted (Willemain et al, 2004;Vaughan, 2005;Costantino et al, 2018); -demand is influenced or even dictated by the adopted mix of maintenance policies (Godoy et. al., 2013;Yang & Kang, 2017) and it could also be met through cannibalization of other parts or units (Rajpal et al, 2006;Sheng & Prescott, 2017;Renna, 2017); -inventory policies should be dynamically modified, depending on the life cycle stage of the equipment where spare parts are installed (Teunter & Fortuin, 1999, Teunter & Hanevled, 2002. For instance, when a new mechanical system is installed, reliability data are not available and a major problem concerns the choice of the initial set of spare parts that should be purchased (Do Rego & De Mesquita, 2011).…”