IDEAS home Printed from https://ideas.repec.org/a/spr/cejnor/v27y2019i2d10.1007_s10100-018-0577-0.html
   My bibliography  Save this article

Synthesis algorithms for the reliability analysis of processing systems

Author

Listed:
  • Z. Kovacs

    (Pazmany Peter Catholic University)

  • A. Orosz

    (University of Pannonia)

  • F. Friedler

    (Pazmany Peter Catholic University)

Abstract

Reliability is naturally one of the most important properties of processing systems, still there is no general method that is capable of simultaneously considering the reliability during the design procedure. Consequently, the optimality of the decisions in process design cannot be guaranteed. The main reason of the lack of general method is that the process design and the reliability engineering are based on different types of mathematical modelling tools. While process design traditionally considered as mixed-integer optimization, reliability engineering is based on probability theory, therefore, a general modelling tool is required that can conveniently cover these two areas. In the present work, it has been shown that the formerly developed combinatorial approach to process network synthesis, the so-called P-graph framework, can conveniently cover and integrate these two areas. The method for reliability analysis of processing systems is general and can effectively analyze complex, highly interconnected networks. Furthermore, the reliability analysis method given here can be embedded to process design tools. A formerly unavailable formula, the system reliability formula has also been defined for processing networks. The focus of the present work is on structures of processing systems, all statements and algorithms are general and proved. The solutions of challenging real problems are also given.

Suggested Citation

  • Z. Kovacs & A. Orosz & F. Friedler, 2019. "Synthesis algorithms for the reliability analysis of processing systems," Central European Journal of Operations Research, Springer;Slovak Society for Operations Research;Hungarian Operational Research Society;Czech Society for Operations Research;Österr. Gesellschaft für Operations Research (ÖGOR);Slovenian Society Informatika - Section for Operational Research;Croatian Operational Research Society, vol. 27(2), pages 573-595, June.
    • Handle: RePEc:spr:cejnor:v:27:y:2019:i:2:d:10.1007_s10100-018-0577-0
    DOI: 10.1007/s10100-018-0577-0
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s10100-018-0577-0
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.
    File URL: https://libkey.io/10.1007/s10100-018-0577-0?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Kim, Youngsuk & Kang, Won-Hee, 2013. "Network reliability analysis of complex systems using a non-simulation-based method," Reliability Engineering and System Safety, Elsevier, vol. 110(C), pages 80-88.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Orosz, Ákos & Kovács, Zoltán & Friedler, Ferenc, 2019. "Synthesis of heat integrated processing systems taking into account reliability," Energy, Elsevier, vol. 181(C), pages 214-225.
    2. Botond Bertók & Tibor Csendes & Gábor Galambos, 2021. "Operations research in Hungary: VOCAL 2018," Central European Journal of Operations Research, Springer;Slovak Society for Operations Research;Hungarian Operational Research Society;Czech Society for Operations Research;Österr. Gesellschaft für Operations Research (ÖGOR);Slovenian Society Informatika - Section for Operational Research;Croatian Operational Research Society, vol. 29(2), pages 379-386, June.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Bistouni, Fathollah & Jahanshahi, Mohsen, 2015. "Evaluating failure rate of fault-tolerant multistage interconnection networks using Weibull life distribution," Reliability Engineering and System Safety, Elsevier, vol. 144(C), pages 128-146.
    2. Dharmaraja, S. & Vinayak, Resham & Trivedi, Kishor S., 2016. "Reliability and survivability of vehicular ad hoc networks: An analytical approach," Reliability Engineering and System Safety, Elsevier, vol. 153(C), pages 28-38.
    3. Di Maio, Francesco & Pettorossi, Chiara & Zio, Enrico, 2023. "Entropy-driven Monte Carlo simulation method for approximating the survival signature of complex infrastructures," Reliability Engineering and System Safety, Elsevier, vol. 231(C).
    4. Kawahara, Jun & Sonoda, Koki & Inoue, Takeru & Kasahara, Shoji, 2019. "Efficient construction of binary decision diagrams for network reliability with imperfect vertices," Reliability Engineering and System Safety, Elsevier, vol. 188(C), pages 142-154.
    5. Cai, Wei & Zhao, Jingyi & Zhu, Ming, 2020. "A real time methodology of cluster-system theory-based reliability estimation using k-means clustering," Reliability Engineering and System Safety, Elsevier, vol. 202(C).
    6. Bistouni, Fathollah & Jahanshahi, Mohsen, 2014. "Analyzing the reliability of shuffle-exchange networks using reliability block diagrams," Reliability Engineering and System Safety, Elsevier, vol. 132(C), pages 97-106.
    7. Li, Jian & Dueñas-Osorio, Leonardo & Chen, Changkun & Shi, Congling, 2016. "Connectivity reliability and topological controllability of infrastructure networks: A comparative assessment," Reliability Engineering and System Safety, Elsevier, vol. 156(C), pages 24-33.
    8. Bistouni, Fathollah & Jahanshahi, Mohsen, 2017. "Remove and contraction: A novel method for calculating the reliability of Ethernet ring mesh networks," Reliability Engineering and System Safety, Elsevier, vol. 167(C), pages 362-375.
    9. Muriel-Villegas, Juan E. & Alvarez-Uribe, Karla C. & Patiño-Rodríguez, Carmen E. & Villegas, Juan G., 2016. "Analysis of transportation networks subject to natural hazards – Insights from a Colombian case," Reliability Engineering and System Safety, Elsevier, vol. 152(C), pages 151-165.
    10. Cavalieri, Francesco, 2020. "Seismic risk assessment of natural gas networks with steady-state flow computation," International Journal of Critical Infrastructure Protection, Elsevier, vol. 28(C).
    11. Kondakci, Suleyman, 2015. "Analysis of information security reliability: A tutorial," Reliability Engineering and System Safety, Elsevier, vol. 133(C), pages 275-299.
    12. Salman, Abdullahi M. & Li, Yue & Bastidas-Arteaga, Emilio, 2017. "Maintenance optimization for power distribution systems subjected to hurricane hazard, timber decay and climate change," Reliability Engineering and System Safety, Elsevier, vol. 168(C), pages 136-149.
    13. Yi Yang & Sixin Wang & Wei Xu & Kunlun Wei, 2018. "Reliability evaluation of wireless multimedia sensor networks based on instantaneous availability," International Journal of Distributed Sensor Networks, , vol. 14(11), pages 15501477188, November.
    14. Dehghani, Nariman L. & Zamanian, Soroush & Shafieezadeh, Abdollah, 2021. "Adaptive network reliability analysis: Methodology and applications to power grid," Reliability Engineering and System Safety, Elsevier, vol. 216(C).
    15. Tong, Yanjie & Tien, Iris, 2019. "Analytical probability propagation method for reliability analysis of general complex networks," Reliability Engineering and System Safety, Elsevier, vol. 189(C), pages 21-30.
    16. Sadoughi, Mohammadkazem & Li, Meng & Hu, Chao, 2018. "Multivariate system reliability analysis considering highly nonlinear and dependent safety events," Reliability Engineering and System Safety, Elsevier, vol. 180(C), pages 189-200.
    17. Joshua L. Pulsipher & Victor M. Zavala, 2020. "Measuring and optimizing system reliability: a stochastic programming approach," TOP: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 28(3), pages 626-645, October.
    18. You Zhou & Chuan He, 2022. "A Review on Reliability of Integrated Electricity-Gas System," Energies, MDPI, vol. 15(18), pages 1-22, September.
    19. Mo, Yuchang & Xing, Liudong & Zhong, Farong & Pan, Zhusheng & Chen, Zhongyu, 2014. "Choosing a heuristic and root node for edge ordering in BDD-based network reliability analysis," Reliability Engineering and System Safety, Elsevier, vol. 131(C), pages 83-93.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:cejnor:v:27:y:2019:i:2:d:10.1007_s10100-018-0577-0. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.