Reliability evaluation and big data analytics architecture for a stochastic flow network with time attribute
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Publication:2115786
DOI10.1007/S10479-019-03427-4zbMath1485.90029OpenAlexW2980650923MaRDI QIDQ2115786
Publication date: 21 March 2022
Published in: Annals of Operations Research (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1007/s10479-019-03427-4
Weibull distributionreliability evaluationstochastic flow networkminimal component vectorstime attribute
Stochastic network models in operations research (90B15) Reliability, availability, maintenance, inspection in operations research (90B25) Reliability and life testing (62N05) Flows in graphs (05C21)
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Cites Work
- Unnamed Item
- Double resource optimization for a robust computer network subject to a transmission budget
- A new approach for Weibull modeling for reliability life data analysis
- Extend the quickest path problem to the system reliability evaluation for a stochastic-flow network
- Evaluation of system reliability for a stochastic delivery-flow distribution network with inventory
- Reliability evaluation of a multi-state air transportation network meeting multiple travel demands
- Reliability Bounds for Multistate Systems with Multistate Components
- Reliability Evaluation of Multistate Systems with Multistate Components
- Reliability evaluation of a limited-flow network in terms of minimal cutsets
- ON A MULTICOMMODITY FLOW NETWORK RELIABILITY MODEL AND ITS APPLICATION TO A CONTAINER-LOADING TRANSPORTATION PROBLEM
- Algorithms for the quickest time distribution of dynamic stochastic-flow networks
- On reliability evaluation of a capacitated‐flow network in terms of minimal pathsets
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