It is expected that nano-scale devices and interconnections will introduce unprecedented level of defects in the substrates, and architectural designs need to accommodate the uncertainty inherent at such scales. This consideration motivates the search for new architectural paradigms based on redundancy based defect-tolerant designs. However, redundancy is not always a solution to the reliabilit...

The Redundancy Allocation Problem (RAP) is a reliability optimization problem in designing series-parallel systems. The reliability optimization process is intended to select multiple components with appropriate levels of redundancy by maximizing the system reliability under some predefined constraints. Several methods have been proposed to solve the RAPs. However, most of these methods often t...

In this paper we address the possibility to improve the reliability of small to middle-size circuits without employing redundancy. Circuits’ reliability is improved by reducing the logic depth of critical paths since the probability of failure of each output of the circuit depends no the logic depth of critical paths. Circuits of the same size were considered, as well as different synthesized v...

In this paper, we investigate the optimum way to allocate redundancy of finite-length nested codes for modern nonvolatile memories suffering from both permanent defects and transient errors (erasures or random errors). A nested coding approach such as partitioned codes can handle both permanent defects and transient errors by using two parts of redundancy: 1) redundancy to deal with permanent d...

Reliability optimization plays an important role in design, operation and management of the industrial systems. System reliability can be easily enhanced by improving the reliability of unreliable components and/or by using redundant configuration with subsystems/components in parallel. Redundancy Allocation Problem (RAP) was studied in this research. A mixed integer programming model was propo...

This paper attempts to provide a more realistic approach to the characterization of system reliability when handling redundancy allocation problems: it considers repairable series-parallel systems comprised of components subjected to corrective maintenance actions with failure-repair cycles modeled by renewal processes. A multiobjective optimization approach is applied since increasing the numb...

Distributed control systems in power plants are the latest trends to optimize and control performance. Reliability prediction of input-output components of distributed control systems have a key role to play in the power plant scenario. Triple modular redundancy is a means of increasing reliability of systems. Triple modular redundancy of three modules each containing m cards is studied in this...

<p style='text-indent:20px;'>Redundancy allocation problem (RAP) is a common technique for increasing the reliability of systems. In this paper, new model RAP introduced that takes into account warm standby and mixed strategy, dynamics, type strategy in redundancy problems. A recursive formula first obtained function dynamic strategies leverages success mode analysis works any arbitrary f...

Using meta-heuristic approaches to solve reliability and redundancy allocation problems (RRAP) has become attractive for researchers in recent years. In this paper, an optimization model is presented to maximize system reliability and minimize system cost simultaneously for multi-state weighted k-out-of-n systems. The model tends to optimize system design and maintenance activities over functio...