Two-stage simplified swarm optimization for the redundancy allocation problem in a multi-state bridge system

Lai, Chyh-Ming; Yeh, Wei-Chang

doi:10.1016/j.ress.2016.07.025

Cited by 40 publications

(22 citation statements)

References 35 publications

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“…Consequently, it is more helpful to approximate network reliability in managing and evaluating network reliability [1]- [15], [17], [19], [20], [35], [43]- [48]. This study thus only focuses on determining exact network reliability.…”

Section: There Are Different Methods Used For Calculating Networkmentioning

confidence: 99%

“…Network reliability has been a research topic of interest since the early days of reliability engineering, and it has been a popular tool to evaluate and validate the performance of many real-world modern systems [1]- [40] such as grid and cloud computing [9], computer and communication systems [10], sensor networks [11], [12], traffic service networks [13], [14], the Internet of Things [15], [16], system design [17]- [19], and production systems [20].…”

Section: Introductionmentioning

confidence: 99%

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A New Node-Based Concept for Solving the Minimal Path Problem in General Networks

et al. 2019

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The validation and evaluation of network reliability are significant issues in the planning, design, and control of systems. The minimal path (MP, an edge set) set is one of the main tools used in measuring network reliability. A new node-based concept to find all MPs is proposed by simply searching all of the ordered node subsets with a time complexity O(ne n), where n is the number of nodes. The proposed concept is implemented in a newly proposed node-based MP algorithm using depth-first search (DFS). Because O(m) = O(n 2), where m is the number of edges, the proposed node-based MP algorithm is theoretically more efficient than conventional edge-based algorithms, which all use time complexity O(n2 m) to search for all MPs. Finally, a series of numerical experiments is implemented to test the performance of the proposed algorithm. INDEX TERMS General networks, reliability, minimal path (MP), node-based concept.

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Section: There Are Different Methods Used For Calculating Networkmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

A New Node-Based Concept for Solving the Minimal Path Problem in General Networks

et al. 2019

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“…Similar to all major AI, in the first generation of SSO, all solutions are randomly initialized [5,7,8,[25][26][27][28][29][30][31][32][33][34][35][36][37][38][39][40][41][42][43]. The basic idea of the update mechanism SSO in updating xi,j is based on the following stepwise functions [5,7,8,[25][26][27][28][29][30][31][32][33][34][35][36][37][38][39][40][41][42][43].…”

Section: Overview Of Ssomentioning

confidence: 99%

A novel boundary swarm optimization method for reliability redundancy allocation problems

Yeh

2019

Reliability Engineering & System Safety

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“…Generally, research related to reliability optimization assumes that each production unit is independent, but in this study, there is a comparison of the reliability of systems that are independent and correlated. Reliability analysis on the multi-state manufacturing network has been carried out in Macchi et al [3]; Chang et al [2]; Chang [6]; Chang, et al [7]; Lai and Yeh [8]. Macchi et al [3] researched this study by performing throughput analysis as support in developing maintenance strategy decisions.…”

Section: Introductionmentioning

confidence: 99%

“…This study uses joint buffers to improve the reliability of the MSMN system. Lai and Yeh [8] applies the redundancy allocation problem (RAP) to multi-state systems. System availability cannot be evaluated on a multi-state system directly because the system configuration cannot be changed.…”

Section: Introductionmentioning

confidence: 99%

Throughput Analysis on a Multi-state Manufacturing System by Considering Availability

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Siswanto

Widodo

et al. 2019

jti

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Manufacturing technology becomes more complex as customer demand increases. Most manufacturing companies consist of multi-state manufacturing networks. Therefore, the reliability and availability parameters become an important issue to satisfy customer demand. Unavailability can result in reducing throughput because of decreasing operational production time. To resolve this problem, the buffer inventory can minimize the occurrence of material starving and production blocking during the equipment downtime. This paper will focus on experimenting with buffer inventory levels and the capacity of a multi-state manufacturing network to increase the production throughput on a company that has 70,000 tons per year of capacity. However, due to the unavailability problem, the existing system capacity decreases to 62,175 tons per year. The simulation model is used to improve throughput by modeling the failure interruption and the buffer inventory logics during the production process.

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Two-stage simplified swarm optimization for the redundancy allocation problem in a multi-state bridge system

Cited by 40 publications

References 35 publications

A New Node-Based Concept for Solving the Minimal Path Problem in General Networks

A New Node-Based Concept for Solving the Minimal Path Problem in General Networks

A novel boundary swarm optimization method for reliability redundancy allocation problems

Throughput Analysis on a Multi-state Manufacturing System by Considering Availability

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