In this study, a new strategic model called Markov-based cold standby combined with components mixing (RRAP-CM-MCCS), is proposed to improve system reliability. The optimization method used here simplified swarm (SSO), in which SSO adopts multi-role resource sharing strategy provide the diverse required by RRAP-CM-MCCS. diversity lies providing every component subsystem its own failure rate as ...

The redundancy allocation problem involves the selection of components and the appropriate levels of redundancy to maximize reliability or minimize cost of a series-parallel system given design constraints. Different optimization approaches have been previously applied to the problem including dynamic programming, integer programming, and mixed integer and nonlinear programming. However these a...

A new column generation decomposition algorithm is described and demonstrated to determine efficient solutions for the reliability-redundancy allocation problem. The problem is a well-known nonlinear mixed integer programming problem which involves the maximization of system reliability by simultaneously selecting component reliability levels and redundancy levels as part of systems engineering...

This paper presents a new mathematical model of a redundancy allocation problem with mixing components redundant in subsystems of a series-parallel system when the redundancy strategy can be chosen for individual subsystems. In practice both active and coldstandby redundancies are used within a particular system design, and the choice of the redundancy strategy becomes an additional decision va...

The Redundancy Allocation Problem (RAP) is well-known in the field of reliability optimization. In this paper, RAP investigated assuming that distribution time to failure components has form an Erlang with a time-dependent rate parameter and considering choice redundancy for each subsystem can be none, active, standby or mixed. A genetic algorithm used solve problem optimal allocation. To analy...