This paper describes a new maintenance selection and scheduling approach for bulk transmission equipment that is based on the cumulative long-term risk caused by each piece of equipment. This approach not only accounts for equipment failure probability and equipment damage, as do most state of the art reliability centered maintenance (RCM) approaches, but it also accounts for the outage consequ...

There are many examples of knowledge-based fault diagnosis advisors for corrective maintenance of complex equipment. However, such advisors are only part of an overall maintenance solution. To be used effectively, diagnostic advisors must be integrated with other existing and forthcoming systems, such as Automated Test Equipment and maintenance databases. Successful fielding of knowledge-based ...

This article presents a case for practical application of the GAMM method, which has been developed and published by the authors. The GAMM method supports decision making in the overall maintenance management, through the visualization and graphical analysis of data. In addition, it allows for the identification of anomalous behavior in the equipment analyzed, whether derived from its own opera...

In this article we develop a model to help a maintenance decision-making situation of a given equipment. We propose a novel model to determine optimal life-cycle duration and intervals between overhauls by minimizing global maintenance costs. We consider a situation where the customer, which owns the equipment, may negotiate a better warranty contract by offering an improved preventive maintena...

We analyze the integrated tactical capacity planning of spare parts supply and workforce allocation in maintenance logistics of advanced equipment. The equipment time-to-failure, spare parts replenishment time, and equipment repair time are random and independent of each other.

For modern semiconductor manufacturing, a large number of interrelated equipment data are automatically collected. These data are usually used for fault detection and classification (FDC). However, unusual measurements may reflect a wafer defect or a change in equipment conditions. Early detection of the equipment condition changes assists with efficient maintenance. This study aimed to develop...

by the U.S. industry, and it is estimated that approximately 80% of this is spent on correcting chronic failure of machines, system and people.” This clearly indicates the pressing need to reduce these non-product investments, and, in particular, maintenance costs in manufacturing facilities. Another important aspect of non-product investment, especially in the automotive industry, is that moni...

In this paper, we propose a new method for scheduling of maintenance operations in a manufacturing system using the continuous assessment and prediction of the level of performance degradation of manufacturing equipment, as well as the complex interaction between the production process and maintenance operations. Effects of any maintenance schedule are evaluated through a discrete-event simulat...

We describe a methodology for developing repair parts inventories for deploying Marine Corps units, including data collection and sparing models. Deployed units provide an excellent opportunity to make local corrections to systemic data collection and maintenance problems. We show how to use that data to establish spares levels for Class IX repair parts with an availability-based sparing model.

conclusion radiology equipment in tehran university of medical sciences have potential capacity, but they need repair, and better maintenance and management and application of standards for the imaging system needs organized supervisory mechanisms. materials and methods the study was performed in 16 hospitals, 4 faculties and three healthcare centers of tehran university of medical sciences. we...