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Multi-distribution multi-commodity multistate flow network model and its reliability evaluation algorithm

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  • Hao, Zhifeng
  • Yeh, Wei-Chang
  • Zuo, Ming
  • Wang, Jing

Abstract

Multi-state flow networks (MFNs), which allow components to have various states and satisfy the flow conservation law, are widely used to model current real-life networks. The multi-commodity MFN (MMFN) is an extension of the MFN that considers more than one commodity (e.g., material, media, resources, products, and items) in the MFN. Network reliability is an important tool for the evaluation of the performance of various networks. The applications and studies of MMFNs are now more important than ever before. However, to date, only one MMFN has been developed, namely the weighted MMFN (WMMFN). In each component of the WMMFN, all commodities share the same state distribution (the states and their occurrence probabilities); the flows of different commodities are simply summed up for the calculation of the WMMFN reliability. Thus, in this study, a novel multi-distribution MMFN (MMMFN) is proposed that allows each commodity to have its own state distribution on components to complement the WMMFN. A new path-based algorithm is presented for the calculation of the proposed novel MMMFN reliability. The correctness and time complexity of the proposed path-based algorithm will be analyzed and proven. Numerical cases are adopted to demonstrate the proposed MMMFN and the proposed algorithm.

Suggested Citation

  • Hao, Zhifeng & Yeh, Wei-Chang & Zuo, Ming & Wang, Jing, 2020. "Multi-distribution multi-commodity multistate flow network model and its reliability evaluation algorithm," Reliability Engineering and System Safety, Elsevier, vol. 193(C).
    • Handle: RePEc:eee:reensy:v:193:y:2020:i:c:s0951832018311530
    DOI: 10.1016/j.ress.2019.106668
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    References listed on IDEAS

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    Cited by:

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    3. Yeh, Wei-Chang, 2023. "Novel recursive inclusion-exclusion technology based on BAT and MPs for heterogeneous-arc binary-state network reliability problems," Reliability Engineering and System Safety, Elsevier, vol. 231(C).
    4. He, Zhichao & Wang, Yanhui & Xia, Weifu & Shen, Yue & Hao, Yucheng & Ren, Qiuyang, 2023. "A method for reliability assessment of complex electromechanical system based on improved network connectivity entropy," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 632(P1).
    5. Yeh, Wei-Chang, 2023. "QB-II for evaluating the reliability of binary-state networks," Reliability Engineering and System Safety, Elsevier, vol. 230(C).
    6. Lin, Shuai & Jia, Limin & Zhang, Hengrun & Zhang, Pengzhu, 2022. "Reliability of high-speed electric multiple units in terms of the expanded multi-state flow network," Reliability Engineering and System Safety, Elsevier, vol. 225(C).
    7. Xiao, Jun & Qu, Yuqing & She, Buxin & Song, Chenhui, 2023. "Operational boundary of flow network," Reliability Engineering and System Safety, Elsevier, vol. 231(C).
    8. Cui, Hongjun & Wang, Fei & Ma, Xinwei & Zhu, Minqing, 2022. "A novel fixed-node unconnected subgraph method for calculating the reliability of binary-state networks," Reliability Engineering and System Safety, Elsevier, vol. 226(C).

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