Redundancy allocation problem with multi-state component systems and reliable supplier selection

Zaretalab, Arash; Hajipour, Vahid; Tavana, Madjid

doi:10.1016/j.ress.2019.106629

Cited by 27 publications

(7 citation statements)

References 52 publications

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“…Wang et al (2020) proposed a model of the multi-objective production system to solve RRAP. Zaretalab (2020) proposed a mathematical model to optimize the multiple RRAP. Kim (2018) studied the optimal design for system reliability in RAP of mixed components and introduced the idea of sequencing the optimal components for cold standby subsystems to enhance system reliability.…”

Section: Literature Surveymentioning

confidence: 99%

Novel Heuristic Algorithm & its Application for Reliability Optimization

Dahiya,

Vashishth,

Garg

et al. 2023

Int. j. math. eng. manag. sci.

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Heuristic algorithms are practical, easy to implement, and work fast to provide short-term, feasible solutions for any kind of problem within economical budgets as compared to other meta-heuristic algorithms. This paper presents a novel heuristic algorithm named the Dahiya-Garg Heuristic Algorithm (DG-Alg) to find the optimal solution for constrained reliability redundancy allocation optimization problems. The cornerstone of the novel DG-Alg is its novel selection factor, which is a mathematical formula that helps the heuristic algorithm search for optimal subsystems for reliability optimization. A novel formulated selection factor in DG-Alg has increased its effectiveness and efficiency. To analyze the performance of the proposed heuristic algorithm and the other three existing heuristic algorithms, they are applied to a problem taken from a pharmaceutical manufacturing plant named Yaris Pharmaceuticals. During the application of the heuristic algorithms, it was ensured that redundancy allocation was done within stipulated cost constraints. Further, a comparative analysis of the obtained results has been done to judge the performance of the proposed heuristic algorithm. It is deduced that the proposed heuristic algorithm gives optimized and computationally efficient results in comparison to the other existing heuristic algorithms.

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Section: Literature Surveymentioning

confidence: 99%

Novel Heuristic Algorithm & its Application for Reliability Optimization

Dahiya,

Vashishth,

Garg

et al. 2023

Int. j. math. eng. manag. sci.

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“…Moreover, they applied an improved version of the particle swarm optimization algorithm with a flexible design. Zaretalab et al [15] considered a multistate component in RAP. In this research, the reliability of the supplier is investigated.…”

Section: Literature Reviewmentioning

confidence: 99%

Application of an Intelligent Hybrid Metaheuristic Algorithm for Multiobjective Redundancy Allocation Problem with Sustainable Maintenance

Tjahjono

Mavaluru

Fathima

et al. 2021

Mathematical Problems in Engineering

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The present study aimed to optimize the redundancy allocation problem based on sustainable maintenance. For this purpose, the goal is to design a complex system based on redundancy allocation by considering the weight and reliability criteria of the system and the maintenance and repair costs through the sustainability approach. In this regard, a mathematical model has been developed. This model minimizes system reliability and system weight simultaneously. There are also budget constraints on repair costs, environmental costs, purchase of spare parts, and energy risk costs. In order to optimize this model, a hybrid algorithm based on Whale Optimization Algorithm (WOA), Genetic Algorithm (GA), and Simulated Annealing (SA) is proposed. Accordingly, 81 test problems are provided and optimized by the proposed algorithm. The obtained numerical results indicate that, with increasing failure time of each component, the system’s reliability increases and the weight of the whole system increases. Moreover, changing the Weibull distribution parameters directly affects the total amount of system reliability, but does not have a definite and accurate effect on the total weight of the system. Moreover, increasing the budget for maintenance leads to finding solutions with more reliability and less weight.

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“…On the other hand, owing to the indispensable role of SS in supply chain management, over the recent years, so many studies have been published about the models based on which the best suppliers are selected. Nevertheless, because of several contributing factors such as time, discipline, and studies' purpose, each of these researches has followed various models with different priorities so that some studies have taken into account the sustainability factor in their SS problem [23,34], someone emphasizes on resiliency [8], some other scholars have worked on reliability [45] and undoubtedly greenness has also been one of the most popular criteria in the SS models [23,18,15] so that a large number of researchers have considered varying aspects of the green suppliers selecting; specifically they have focused on the evaluation and ranking of the weighting factors critical in choosing of green suppliers [41]. In addition, in so many works, researchers have considered two terms of risk and cost in their studies regarding SS because of their undeniable significance in realistic situations.…”

Section: Introductionmentioning

confidence: 99%

A Multidimensional Decision Making for Supplier Selection in the presence of Information Systems

Kazemitash¹,

Fazlollahtabar

2022

Croat. oper. res. rev. (Online)

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Information Systems (IS) have turned into vital means for companies to survive in the contemporary technology-oriented environment. Subsequently, over the last decades, this has brought about the heavy investment of companies in ISs to guarantee high-quality products and services. Similarly, supplier selection (SS) plays an inescapable role in today’s business. In addition, there are several studies published showing the importance of the ISs in the SS problem. However, there has not been any work evaluating the effectiveness of ISs on the SS problem, including a comprehensive and up-to date SS model. Therefore, this study proposed a complete model including six criteria that are almost most important and shared in the literature: sustainability, reliability, resiliency, greenness, risk and cost, and 31 sub-criteria. Then the effectiveness of 10 ISs on the SS problem has been shown through using BWM in two consecutive stages, and then the model conducted in Emdadkhodro automotive company to show its practicality and accuracy.

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Redundancy allocation problem with multi-state component systems and reliable supplier selection

Cited by 27 publications

References 52 publications

Novel Heuristic Algorithm & its Application for Reliability Optimization

Novel Heuristic Algorithm & its Application for Reliability Optimization

Application of an Intelligent Hybrid Metaheuristic Algorithm for Multiobjective Redundancy Allocation Problem with Sustainable Maintenance

A Multidimensional Decision Making for Supplier Selection in the presence of Information Systems

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