This paper discusses the determination of an optimal maintenance policy for a repairable system exhibiting a linearly increasing hazard rate, a constant repair rate and a predetermined availability. Under the preventive maintenance policy, the system availability is guaranteed and the time interval between preventive maintenance actions incurring minimal cost is analysed and presented.

We present a fast simulated annealing algorithm for the problem of fault covering of redundant RAMS. The algorithm has been implemented and tested on various benchmark problems and has performed very well. Our simulations also indicate that the algorithm is very fast. For all the repairable chips tested, it took less than one second to find a repair solution.

Software maintenance is expensive and difficult because software is complex and maintenance requires understanding code written by someone else. A key component of maintainability is program understanding. Program understanding, however, is problematic for software developed on the web because web applications comprise a mix of technologies and because the rapid pace of web development often me...

In large scale distributed storage systems (DSS) deployed in cloud computing, correlated failures resulting in simultaneous failure (or, unavailability) of blocks of nodes are common. In such scenarios, the stored data or a content of a failed node can only be reconstructed from the available live nodes belonging to the available blocks. To analyze the resilience of the system against such bloc...

This paper discusses the performance evaluation and availability analysis of ammonia synthesis unit of a fertilizer plant. The fertilizer plant is a complex and repairable engineering system comprises of various units viz. shell gasification and carbon recovery, desulphurization, co-shift conversion, decarbonation, nitrogen wash and ammonia synthesis etc. One of the most important functionaries...

The aim of this talk is to present the software tool MARS (Maintenance Assessment of Repairable Systems), developed by EDF R&D and Grenoble University. MARS implements imperfect maintenance (virtual age) models and estimates jointly the effects of ageing and maintenance (preventive and/or corrective) efficiency on real data sets from field feedback.

We study a repairable item inventory system under limited repair capacity and nonstationary Poisson demands, motivated by corrective maintenance of military equipment. Our goal is to minimize the cost of both spare and repair resource allocation. We propose an efficient analytical model that combines optimization modeling and queuing theory.

Developing industrial Case–Based Reasoning (CBR) applications has become much easier since the advent of the INRECA methodology [BBG99] which employs software process modelling techniques [VR95] to describe CBR system development tasks and uses the experience factory approach [BCR94] to store experience gained in the realization of CBR projects. empolis (and its former INRECA project partner ka...