IDEAS home Printed from https://ideas.repec.org/a/sae/risrel/v237y2023i5p897-909.html
   My bibliography  Save this article

Subset simulation for optimal sensors positioning based on value of information

Author

Listed:
  • Seyed Mojtaba Hoseyni
  • Francesco Di Maio
  • Enrico Zio

Abstract

Greedy and non-greedy optimization methods have been proposed for maximizing the Value of Information (VoI) for equipment health monitoring by optimal sensors positioning. These methods provide good solutions, but still with limitations and challenges: greedy optimization does not guarantee to find the optimal solution, due to the non-submodularity of the VoI; non-greedy optimization does not suffer from the non-submodularity of the VoI but requires computationally expensive and tedious simulations to find the optimal solution. In this work, the Subset Simulation (SS) method is originally proposed to address these limitations and challenges. A real case study is considered concerning the condition monitoring of a Steam Generator (SG) of a Prototype Fast Breeder Reactor (PFBR). Results show that SS, even if initialized with a small number of Monte Carlo samples, is capable of finding the optimal set of sensors positions in a very short computational time and is insensitive to the non-submodularity of VoI.

Suggested Citation

  • Seyed Mojtaba Hoseyni & Francesco Di Maio & Enrico Zio, 2023. "Subset simulation for optimal sensors positioning based on value of information," Journal of Risk and Reliability, , vol. 237(5), pages 897-909, October.
    • Handle: RePEc:sae:risrel:v:237:y:2023:i:5:p:897-909
    DOI: 10.1177/1748006X221118432
    as

    Download full text from publisher

    File URL: https://journals.sagepub.com/doi/10.1177/1748006X221118432
    Download Restriction: no
    File URL: https://libkey.io/10.1177/1748006X221118432?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
    ---><---

    References listed on IDEAS

    as
    1. Urmila M. Diwekar, 2020. "Introduction to Applied Optimization," Springer Optimization and Its Applications, Springer, edition 3, number 978-3-030-55404-0, June.
    2. Jeffrey M. Keisler & Zachary A. Collier & Eric Chu & Nina Sinatra & Igor Linkov, 2014. "Value of information analysis: the state of application," Environment Systems and Decisions, Springer, vol. 34(1), pages 3-23, March.
    Full references (including those not matched with items on IDEAS)

    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. Jeffrey M. Keisler, 2014. "Value of information: facilitating targeted information acquisition in decision processes," Environment Systems and Decisions, Springer, vol. 34(1), pages 1-2, March.
    2. Cavazza, F. & Galioto, F. & Raggi, M. & Viaggi, D., 2018. "Changes in the information environment of water management: the role of ICT," 2018 Conference, July 28-August 2, 2018, Vancouver, British Columbia 277247, International Association of Agricultural Economists.
    3. Andrija S Grustam & Nasuh Buyukkaramikli & Ron Koymans & Hubertus J M Vrijhoef & Johan L Severens, 2019. "Value of information analysis in telehealth for chronic heart failure management," PLOS ONE, Public Library of Science, vol. 14(6), pages 1-23, June.
    4. Emanuele Borgonovo & Alessandra Cillo & Curtis L. Smith, 2018. "On the Relationship between Safety and Decision Significance," Risk Analysis, John Wiley & Sons, vol. 38(8), pages 1541-1558, August.
    5. Emanuele Borgonovo & Alessandra Cillo, 2017. "Deciding with Thresholds: Importance Measures and Value of Information," Risk Analysis, John Wiley & Sons, vol. 37(10), pages 1828-1848, October.
    6. Feuerriegel, Stefan & Bodenbenner, Philipp & Neumann, Dirk, 2016. "Value and granularity of ICT and smart meter data in demand response systems," Energy Economics, Elsevier, vol. 54(C), pages 1-10.
    7. Luhede, Amelie & Yaqine, Houda & Bahmanbijari, Reza & Römer, Michael & Upmann, Thorsten, 2024. "The value of information in water quality monitoring and management," Ecological Economics, Elsevier, vol. 219(C).
    8. Haag, Fridolin & Chennu, Arjun, 2023. "Assessing whether decisions are more sensitive to preference or prediction uncertainty with a value of information approach," Omega, Elsevier, vol. 121(C).
    9. Stéphane Couture & Stéphane Lemarié & Sabrina Teyssier & Pascal Toquebeuf, 2024. "The value of information under ambiguity: a theoretical and experimental study on pest management in agriculture," Theory and Decision, Springer, vol. 96(1), pages 19-47, February.
    10. Eva D. Regnier & Joel W. Feldmeier, 2022. "D Minus Months: Strategic Planning for Weather-Sensitive Decisions," Decision Analysis, INFORMS, vol. 19(1), pages 1-20, March.
    11. Marco Pastori & Angel Udias & Luigi Cattaneo & Magda Moner-Girona & Awa Niang & Cesar Carmona-Moreno, 2021. "Bioenergy Potential of Crop Residues in the Senegal River Basin: A Cropland–Energy–Water-Environment Nexus Approach," Sustainability, MDPI, vol. 13(19), pages 1-23, October.
    12. Oussama Ouramdane & Elhoussin Elbouchikhi & Yassine Amirat & Ehsan Sedgh Gooya, 2021. "Optimal Sizing and Energy Management of Microgrids with Vehicle-to-Grid Technology: A Critical Review and Future Trends," Energies, MDPI, vol. 14(14), pages 1-45, July.
    13. Anna Heath & Ioanna Manolopoulou & Gianluca Baio, 2017. "A Review of Methods for Analysis of the Expected Value of Information," Medical Decision Making, , vol. 37(7), pages 747-758, October.
    14. Zou, Guang & Faber, Michael Havbro & González, Arturo & Banisoleiman, Kian, 2021. "Computing the value of information from periodic testing in holistic decision making under uncertainty," Reliability Engineering and System Safety, Elsevier, vol. 206(C).
    15. Mayuran Sivapalan & Jerome Bowen, 2020. "Decision frameworks for restoration & adaptation investment–Applying lessons from asset-intensive industries to the Great Barrier Reef," PLOS ONE, Public Library of Science, vol. 15(11), pages 1-20, November.
    16. Francesco Cavazza & Francesco Galioto & Meri Raggi & Davide Viaggi, 2020. "Digital Irrigated Agriculture: Towards a Framework for Comprehensive Analysis of Decision Processes under Uncertainty," Future Internet, MDPI, vol. 12(11), pages 1-16, October.
    17. Dohyeong Kim & Zachary Brown & Richard Anderson & Clifford Mutero & Marie Lynn Miranda & Jonathan Wiener & Randall Kramer, 2017. "The Value of Information in Decision‐Analytic Modeling for Malaria Vector Control in East Africa," Risk Analysis, John Wiley & Sons, vol. 37(2), pages 231-244, February.
    18. Hans Olav Vogt Myklebust & Jo Eidsvik & Iver Bakken Sperstad & Debarun Bhattacharjya, 2020. "Value of Information Analysis for Complex Simulator Models: Application to Wind Farm Maintenance," Decision Analysis, INFORMS, vol. 17(2), pages 134-153, June.
    19. Mercedes Boncompte Pons & María del Mar Guerrero Manzano, 2024. "The value of perfect information for the problem: a sensitivity analysis," Environment Systems and Decisions, Springer, vol. 44(4), pages 980-993, December.
    20. Liesiö, Juuso & Salo, Ahti & Keisler, Jeffrey M. & Morton, Alec, 2021. "Portfolio decision analysis: Recent developments and future prospects," European Journal of Operational Research, Elsevier, vol. 293(3), pages 811-825.

    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:sae:risrel:v:237:y:2023:i:5:p:897-909. 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: SAGE Publications (email available below). General contact details of provider: .

    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.