Two metaheuristics for solving the reliability redundancy allocation problem to maximize mean time to failure of a series–parallel system

Najafi, Amir Abbas; Karimi, Hamid; Chambari, Amirhossain; Azimi, Fatemeh

doi:10.1016/j.scient.2012.12.022

Cited by 9 publications

(5 citation statements)

References 20 publications

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“…Many studies from the systems engineering literature examine the pros and cons of different configurations of redundancies for a variety of systems. For example, system elements may be placed in series or parallel to create redundancy (Najafi et al, 2013). In a series system, redundancy may be built at the component level to prevent the failure of each component, or at the system level to prevent the failure of any component in the primary system (Hazra & Nanda, 2014).…”

Section: Recommendations For Resource Managersmentioning

confidence: 99%

Comparing contingency fire containment strategies using simulated random scenarios

Wei

Thompson

Belval

et al. 2020

Natural Resource Modeling

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Contingency firelines can be used to back up primary lines to increase probability of fire containment, decrease fire losses, and improve firefighter safety. In this study, we classify firelines into primary, contingency, and response lines. We design a modeling process to iteratively implement a mixed integer programming model to evaluate contingency strategies under randomly generated fireline breaching scenarios. Our objectives include: (1) gaining conceptual understanding of the effectiveness of using contingency containers in a fireline network, and (2) suggesting future data collection and model improvement directions to support contingency strategy planning. We evaluate the effectiveness of several model generated containment strategies: only responding to observed primary line breaches, being proactive by implementing a system-level contingency plan, or constructing contingency lines to back up a proportion of a primary container. Data from the Ferguson Fire in California are used to derive a set of hypothetical test cases with different fireline breaching risks to support sensitivity analysis. For comparison, we also test a contingency plan inspired by the Ferguson Fire operation. Analyses

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Section: Recommendations For Resource Managersmentioning

confidence: 99%

Comparing contingency fire containment strategies using simulated random scenarios

Wei

Thompson

Belval

et al. 2020

Natural Resource Modeling

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“…[14] has applied this method. However, experimentally we found that it does not perform as well as the method which we are going to describe.…”

Section: 4mentioning

confidence: 99%

Design and analysis of the redundancy allocation problem using a greedy technique

Nanda¹,

Sharma²,

Kundnani³

et al. 2016

IOSR

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“…Due to the complexity of the RRAP, most of the researches has focused on developing heuristic and metaheuristic approaches. In this regard, we can refer to Simulated Annealing (SA) [8], Genetic Algorithm (GA) [4,[9][10][11][12], Particle Swarm Optimization (PSO) [5,6,[13][14][15][16], Artificial bee colony algorithm [3,17], Artificial immune search [18], Biogeography-based optimization (BBO) [19], fruit fly optimization algorithm [20], Markov decision process [21], Stochastic Fractal Search (SFS) [22], and hybrid algorithms such as SFS-GA [23]. In addition to heuristic and metaheuristic algorithms, simulation-based solution approaches [24] and exact solution methods such as implicit enumeration, branch-and-bound, and dynamic programming have also been used to solve RRAP [23].…”

Section: Introductionmentioning

confidence: 99%

Reliability-redundancy allocation Problem of a queueing system considering energy consumption

Sabri-Laghaie¹,

Fathi²

2022

Scientia Iranica

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In Reliability Redundancy Allocation Problem (RRAP), the reliability and redundancy of components in a given system configuration are determined while concerning some problem-specific constraints. RRAP can be applied to various industries. Moreover, queueing systems are among the most common systems in the manufacturing and service industries. Failure in queueing systems can result in unwanted severe damages. Reliability analysis of queueing systems should be undertaken concerning their performance measures. Therefore, an RRAP of a queueing system considering queueing costs is studied in this article. The proposed cost function includes queueing, repair, and energy consumption costs. A memetic algorithm is used to obtain optimal redundancy and failure rates of components and the system's service rate, which affects the energy consumption level. Extensive numerical experiments and sensitivity analyses are performed to present the problem's applicability and the proposed algorithm.

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Two metaheuristics for solving the reliability redundancy allocation problem to maximize mean time to failure of a series–parallel system

Cited by 9 publications

References 20 publications

Comparing contingency fire containment strategies using simulated random scenarios

Comparing contingency fire containment strategies using simulated random scenarios

Design and analysis of the redundancy allocation problem using a greedy technique

Reliability-redundancy allocation Problem of a queueing system considering energy consumption

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