PT. XYZ is engaged in the production of snacks. This company makes products from raw materials to finished products. In packaging section using a machine called CingFong, problem that often occurs there buildup due waiting for machines have not maintenance so it can reduce productivity this factory. Overall method used Preventive Maintenance by looking Mean Time To Failure (MTTF) identify criti...

We consider a production control problem in a manufacturing system with failure-prone machines and a constant demand rate. The objective is to minimise a discounted inventory holding and backlog cost over an infinite planning horizon. The availability of the machines is improved through a corrective maintenance strategy. The decision variables are the production and the machine repair rates, wh...

This research explores the appropriateness of unbalancing the workload per machine in certain types of flexible manufacturing systems (FMSs) configured as pooled machines of unequal sizes. Studies are conducted to examine the applicability of following an objective to unbalance workloads when solving the FMS planning problems of selecting part types to be machined together and determining their...

The main aim of predictive maintenance is to minimize downtime, failure risks and costs in manufacturing systems. Over the past few years, machine learning methods gained ground with diverse successful applications area maintenance. This study shows that performing preprocessing techniques such as oversampling features selection for prediction, promising. For instance, handle imbalanced data, S...

The recent advances in manufacturing systems motivate several studies to focus on Economic Production Quantity (EPQ) problem. Althuogh there are several extentions to the EPQ, this paper provides a new extension by considering some of the real world parameters like: (a) shortages in the form of partial backordering, (b) inventory can deteriorate stochastically, (c) machine can break down stocha...

In this paper we present an integration of optirnisation, priority setting, planning and combining of maintenance activities. We use a framework which covers several optimisation models, like the block replacement, a minimal repair and an efficiency model, and develop a uniform analysis for all these models. From this analysis penalty functions are derived which can act as priority criterion fu...

We consider a single machine, subject to breakdown, that produces items to inventory, continuously and uniformly. While the machine is working (an ON period), there is a deterministic net ow into the bu er. There are also two di erent types of OFF periods; one is a repair operation initiated after a breakdown, and the other is a preventive maintenance operation. The length of an OFF period depe...

Machine service and maintenance is an intricate specialist task and machine builders often have to provide worldwide service at short notice. Machine builders would benefit enormously from the possibility to monitor and diagnose equipment operating at distant locations – both for condition-based preventive maintenance and for diagnostic purposes before flying in qualified maintenance personnel ...

The paper proposes a preventive maintenance (PM) planning model for the performance improvement of cellular manufacturing systems (CMS) in terms of machine reliability, and resource utilization. In a CMS, parts are processed by a group of interdependent machines, where machine reliability plays an important role in the performance improvement of the cell. Assuming that machine failure times fol...