Scheduled Maintenance Policies Research Articles

PERENCANAAN PENJADWALAN DAN PERSEDIAAN SPAREPART DENGAN METODE RELIABILITY CENTERED MAINTENANCE (RCM) DI PT.X

<p>PT.X is a supplier company that manufactures plastic bottles. Currently PT.X has a<br />production capacity of 4.3 million bottles per day. The production capacity can be met if the<br />production machine running well and in a reliable state. PT.X not currently have a machine<br />maintenance activities are laid out well. This often caused many damage occurs unscheduled<br />engine which causes the cost of lost opportunity (opportunity cost) for the manufacture of<br />products and the high costs of component inventory. The method used in solving the problem in<br />this study is the use of Reliability Centered Maintenance analysis in determining the policy of<br />treatment and then seek maintenance intervals based on the minimum cost. The results obtained<br />are contained 8 components that have critical categories with each scheduled maintenance policy<br />is age replacement, with this calculation obtained a saving of approximately 44% on inventory<br />costs and increased reliability component approximately 42% -64%.</p>

Economic production quantity with maintenance interruptions under random and correlated yields

This paper considers an economic production quantity with imperfect items where the quality of items produced within the same production run is correlated. Production and scheduled maintenance policies for a correlated binomial production system are investigated. We study the impact of correlation on the system performance measures and draw insights in terms of the effect of correlation on the production and maintenance policies. We also illustrate that the popular and commonly used interrupted geometric production systems can be analysed by an equivalent correlated binomial production model.

Evaluating record history of medical devices using association discovery and clustering techniques

In this research, association discovery and clustering techniques were utilized for improving the efficiency of a hospital’s service and of the maintenance tasks in a clinical engineering department. The indicator in this study is service requests. The association discovery techniques revealed problems in users’ training (errors in operating procedures), intrinsic failures in medical devices, and badly scheduled maintenance policies. Clustering techniques uncovered the main causes of failures. With the evidence obtained corrective actions were taken. The service request average dropped dramatically from 6.4 to 0.4 during the analyzed period.

Optimal production run length and maintenance schedule for a deteriorating production system

This study considers manufacturing cost, inventory holding cost, system setup and maintenance costs, restoration cost, and warranty cost to a deteriorating production system whose state can be classified into in-control or out-of-control state at any time. This study develops a framework of simultaneous determination of optimal production run length and maintenance schedule and shows that there exists a unique optimal production run length and scheduled maintenance policy that minimize the expected total cost per item. The mathematical conditions to the optimal production run length and scheduled maintenance policy for a production cycle are deduced.

Incorporating maintenance activities into production planning; integration at the master schedule versus material requirements level

SUMMARY This study evaluates the impact of incorporating alternative scheduled maintenance policies or predicted emergency maintenance activities into the MRP system. The results indicate that it is critical to evaluate the failure and utilization characteristics of each machine individually so an appropriate maintenance policy can be established. Otherwise, a firm may implement scheduled maintenance when the costs of the policy actually outweigh the benefits gained by reducing emergency maintenance. Additional results suggest that by incorporating emergency maintenance into the MRP system as a dependent demand item, firms may be able to plan and allocate their resources more efficiently.

Analyzing scheduled maintenance policies for repairable computer systems

A solution method is developed to analyze various scheduled maintenance policies for repairable computer systems. The analysis is applicable to systems with behavior (exclusive of the scheduled maintenance policy) that can be modeled by a continuous-time Markov process, and thus important characteristics can be included in the model. Furthermore, the assumption of perfect repair, which is unrealistic for most systems, is not used. Both transient and steady-state measures are obtained. The measures considered include expected availability, expected number of unscheduled repairs (repairs that are performed outside of the scheduled maintenance period), and the probability of an unscheduled repair. The solution approach is based on the randomization technique and possesses advantage such as numerical stability and ease of implementation. >