IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v16y2024i3p979-d1324885.html
   My bibliography  Save this article

Sustainability Indices and RAM Analysis for Maintenance Decision Making Considering Environmental Sustainability

Author

Listed:
  • Giacomo Barbieri

    (Department of Mechanical Engineering, Universidad de Los Andes, Bogotá 111711, Colombia)

  • Jose Daniel Hernandez

    (Department of Mechanical Engineering, Universidad de Los Andes, Bogotá 111711, Colombia)

Abstract

Maintenance is becoming an increasingly green process, aiming to simultaneously minimize the impact of assets on the economy, society, and the surrounding environment while also mitigating any adverse consequences arising from maintenance activities. To manage maintenance from a sustainable perspective, appropriate indices able to represent environmental assessment results in an aggregated and synthetic way are necessary, along with rational decision-making tools able to simulate different maintenance alternatives considering various sustainability dimensions. In response to this challenge, a methodology rooted in sustainability indices and RAM analysis is proposed to support decision making with respect to sustainable maintenance practices. By applying the proposed methodology to a proof of concept we demonstrate that the approach enables the evaluation of both the environmental and economic impacts of different maintenance activities. Furthermore, the methodology facilitates the identification of specific environmental dimensions that need improvement, in addition to discerning the distinct contributions of individual components to the environmental and economic impacts at the system level. These insights offer valuable information to support informed decision making regarding the allocation of internal resources for impact mitigation. The obtained results underscore the potential applicability of this approach to industrial systems, signifying its contribution to the goal of achieving sustainable maintenance practices.

Suggested Citation

  • Giacomo Barbieri & Jose Daniel Hernandez, 2024. "Sustainability Indices and RAM Analysis for Maintenance Decision Making Considering Environmental Sustainability," Sustainability, MDPI, vol. 16(3), pages 1-23, January.
    • Handle: RePEc:gam:jsusta:v:16:y:2024:i:3:p:979-:d:1324885
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/16/3/979/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/16/3/979/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Bohringer, Christoph & Jochem, Patrick E.P., 2007. "Measuring the immeasurable -- A survey of sustainability indices," Ecological Economics, Elsevier, vol. 63(1), pages 1-8, June.
    2. Muchiri, Peter & Pintelon, Liliane & Gelders, Ludo & Martin, Harry, 2011. "Development of maintenance function performance measurement framework and indicators," International Journal of Production Economics, Elsevier, vol. 131(1), pages 295-302, May.
    3. Hongzhou Wang & Hoang Pham, 2006. "Reliability and Optimal Maintenance," Springer Series in Reliability Engineering, Springer, number 978-1-84628-325-3, June.
    4. Ghaleb, Mageed & Taghipour, Sharareh, 2022. "Assessing the impact of maintenance practices on asset's sustainability," Reliability Engineering and System Safety, Elsevier, vol. 228(C).
    5. Hamzeh Soltanali & A.H.S Garmabaki & Adithya Thaduri & Aditya Parida & Uday Kumar & Abbas Rohani, 2019. "Sustainable production process: An application of reliability, availability, and maintainability methodologies in automotive manufacturing," Journal of Risk and Reliability, , vol. 233(4), pages 682-697, August.
    6. David Sanchez-Londono & Giacomo Barbieri & Luca Fumagalli, 2023. "Smart retrofitting in maintenance: a systematic literature review," Journal of Intelligent Manufacturing, Springer, vol. 34(1), pages 1-19, January.
    7. Sharma, Rajiv Kumar & Kumar, Sunand, 2008. "Performance modeling in critical engineering systems using RAM analysis," Reliability Engineering and System Safety, Elsevier, vol. 93(6), pages 913-919.
    8. Regattieri, A. & Giazzi, A. & Gamberi, M. & Gamberini, R., 2015. "An innovative method to optimize the maintenance policies in an aircraft: General framework and case study," Journal of Air Transport Management, Elsevier, vol. 44, pages 8-20.
    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. Patrick Zschech & Kai Heinrich & Raphael Bink & Janis S. Neufeld, 2019. "Prognostic Model Development with Missing Labels," Business & Information Systems Engineering: The International Journal of WIRTSCHAFTSINFORMATIK, Springer;Gesellschaft für Informatik e.V. (GI), vol. 61(3), pages 327-343, June.
    2. Asadzadeh, S.M. & Azadeh, A., 2014. "An integrated systemic model for optimization of condition-based maintenance with human error," Reliability Engineering and System Safety, Elsevier, vol. 124(C), pages 117-131.
    3. António Abreu & Rúben Piedade, 2018. "Decision Support Model in the Strategic Management of the Portuguese Air Force Alpha Jet Fleet," Asian Journal of Social Sciences and Management Studies, Asian Online Journal Publishing Group, vol. 5(3), pages 72-81.
    4. Hashemi, M. & Asadi, M. & Zarezadeh, S., 2020. "Optimal maintenance policies for coherent systems with multi-type components," Reliability Engineering and System Safety, Elsevier, vol. 195(C).
    5. Yuqian Xu & Lingjiong Zhu & Michael Pinedo, 2020. "Operational Risk Management: A Stochastic Control Framework with Preventive and Corrective Controls," Operations Research, INFORMS, vol. 68(6), pages 1804-1825, November.
    6. Povellato, Andrea & Bodini, Antonella & Longhitano, Davide & Scardera, Alfonso, 2012. "Assessing farm sustainability. An application with the Italian FADN sample," 2012 First Congress, June 4-5, 2012, Trento, Italy 124381, Italian Association of Agricultural and Applied Economics (AIEAA).
    7. Yashi Vishwakarma & S. P. Sharma, 2016. "Uncertainty analysis of an industrial system using Intuitionistic Fuzzy Set Theory," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 7(1), pages 73-83, March.
    8. Cynthia H. Stahl, 2014. "Out of the Land of Oz: the importance of tackling wicked environmental problems without taming them," Environment Systems and Decisions, Springer, vol. 34(4), pages 473-477, December.
    9. Izquierdo, J. & Márquez, A. Crespo & Uribetxebarria, J. & Erguido, A., 2020. "On the importance of assessing the operational context impact on maintenance management for life cycle cost of wind energy projects," Renewable Energy, Elsevier, vol. 153(C), pages 1100-1110.
    10. Finkelstein, Maxim & Cha, Ji Hwan & Langston, Amy, 2023. "Improving classical optimal age-replacement policies for degrading items," Reliability Engineering and System Safety, Elsevier, vol. 236(C).
    11. Nisreen Salti & Jad Chaaban & Alexandra Irani & Rima Al Mokdad, 2021. "A Multi-Dimensional Measure of Well-being among Youth: The Case of Palestinian Refugee Youth in Lebanon," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 154(1), pages 1-34, February.
    12. Daniela Cristina Momete & Manuel Mihail Momete, 2021. "Map and Track the Performance in Education for Sustainable Development across the European Union," Sustainability, MDPI, vol. 13(23), pages 1-14, November.
    13. Anil Kr. Aggarwal & Sanjeev Kumar & Vikram Singh, 2017. "Performance modeling of the serial processes in refining system of a sugar plant using RAMD analysis," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 8(2), pages 1910-1922, November.
    14. Ben Mabrouk, A. & Chelbi, A. & Radhoui, M., 2016. "Optimal imperfect maintenance strategy for leased equipment," International Journal of Production Economics, Elsevier, vol. 178(C), pages 57-64.
    15. Duck Bong Kim, 2019. "An approach for composing predictive models from disparate knowledge sources in smart manufacturing environments," Journal of Intelligent Manufacturing, Springer, vol. 30(4), pages 1999-2012, April.
    16. Daniela C. Momete, 2016. "Building a Sustainable Healthcare Model: A Cross-Country Analysis," Sustainability, MDPI, vol. 8(9), pages 1-15, August.
    17. Ji Hwan Cha & Maxim Finkelstein, 2020. "On optimal life extension for degrading systems," Journal of Risk and Reliability, , vol. 234(3), pages 487-495, June.
    18. Ernest Reig‐Martínez & José A. Gómez‐Limón & Andrés J. Picazo‐Tadeo, 2011. "Ranking farms with a composite indicator of sustainability," Agricultural Economics, International Association of Agricultural Economists, vol. 42(5), pages 561-575, September.
    19. Franks, Jeremy & Frater, Poppy, 2013. "Measuring agricultural sustainability at the farm-level: A pragmatic approach," International Journal of Agricultural Management, Institute of Agricultural Management, vol. 2(4), pages 1-19, July.
    20. Zhicheng Lai & Lei Li & Zhuomin Tao & Tao Li & Xiaoting Shi & Jialing Li & Xin Li, 2023. "Spatio-Temporal Evolution and Influencing Factors of Ecological Well-Being Performance from the Perspective of Strong Sustainability: A Case Study of the Three Gorges Reservoir Area, China," IJERPH, MDPI, vol. 20(3), pages 1-25, January.

    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:gam:jsusta:v:16:y:2024:i:3:p:979-:d:1324885. 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: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.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.