IDEAS home Printed from https://ideas.repec.org/a/gam/jijerp/v18y2021i9p4849-d547668.html
   My bibliography  Save this article

A Methodology for Harmonizing Safety and Health Scales in Occupational Risk Assessment

Author

Listed:
  • Zuzhen Ji

    (Department of Mechanical Engineering, University of Canterbury, Christchurch, Canterbury 8140, New Zealand)

  • Dirk Pons

    (Department of Mechanical Engineering, University of Canterbury, Christchurch, Canterbury 8140, New Zealand)

  • John Pearse

    (Department of Mechanical Engineering, University of Canterbury, Christchurch, Canterbury 8140, New Zealand)

Abstract

Successful implementation of Health and Safety (H&S) systems requires an effective mechanism to assess risk. Existing methods focus primarily on measuring the safety aspect; the risk of an accident is determined based on the product of severity of consequence and likelihood of the incident arising. The health component, i.e., chronic harm, is more difficult to assess. Partially, this is due to both consequences and the likelihood of health issues, which may be indeterminate. There is a need to develop a quantitative risk measurement for H&S risk management and with better representation for chronic health issues. The present paper has approached this from a different direction, by adopting a public health perspective of quality of life. We have then changed the risk assessment process to accommodate this. This was then applied to a case study. The case study showed that merely including the chronic harm scales appeared to be sufficient to elicit a more detailed consideration of hazards for chronic harm. This suggests that people are not insensitive to chronic harm hazards, but benefit from having a framework in which to communicate them. A method has been devised to harmonize safety and harm risk assessments. The result was a comprehensive risk assessment method with consideration of safety accidents and chronic health issues. This has the potential to benefit industry by making chronic harm more visible and hence more preventable.

Suggested Citation

  • Zuzhen Ji & Dirk Pons & John Pearse, 2021. "A Methodology for Harmonizing Safety and Health Scales in Occupational Risk Assessment," IJERPH, MDPI, vol. 18(9), pages 1-15, May.
  • Handle: RePEc:gam:jijerp:v:18:y:2021:i:9:p:4849-:d:547668
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1660-4601/18/9/4849/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1660-4601/18/9/4849/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Richard Todd Niemeier & Pamela R.D. Williams & Alan Rossner & Jane E. Clougherty & Glenn E. Rice, 2020. "A Cumulative Risk Perspective for Occupational Health and Safety (OHS) Professionals," IJERPH, MDPI, vol. 17(17), pages 1-19, August.
    2. Peeters, J.F.W. & Basten, R.J.I. & Tinga, T., 2018. "Improving failure analysis efficiency by combining FTA and FMEA in a recursive manner," Reliability Engineering and System Safety, Elsevier, vol. 172(C), pages 36-44.
    3. James E. Smith & Ralph L. Keeney, 2005. "Your Money or Your Life: A Prescriptive Model for Health, Safety, and Consumption Decisions," Management Science, INFORMS, vol. 51(9), pages 1309-1325, September.
    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. Mauricio A. Ramírez-Moreno & Patricio Carrillo-Tijerina & Milton Osiel Candela-Leal & Myriam Alanis-Espinosa & Juan Carlos Tudón-Martínez & Armando Roman-Flores & Ricardo A. Ramírez-Mendoza & Jorge de, 2021. "Evaluation of a Fast Test Based on Biometric Signals to Assess Mental Fatigue at the Workplace—A Pilot Study," IJERPH, MDPI, vol. 18(22), pages 1-20, November.
    2. Zuzhen Ji & Dirk Pons & Zhouyang Su & Zichong Lyu & John Pearse, 2022. "Integrating Occupational Health and Safety Risk and Production Economics for Sustainable SME Growth," Sustainability, MDPI, vol. 14(21), pages 1-19, November.

    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. James K. Hammitt, 2020. "Valuing mortality risk in the time of COVID-19," Journal of Risk and Uncertainty, Springer, vol. 61(2), pages 129-154, October.
    2. Mary A. Fox & Richard Todd Niemeier & Naomi Hudson & Miriam R. Siegel & Gary Scott Dotson, 2021. "Cumulative Risks from Stressor Exposures and Personal Risk Factors in the Workplace: Examples from a Scoping Review," IJERPH, MDPI, vol. 18(11), pages 1-12, May.
    3. Zhou, Jing & Liu, Yu & Liang, Decui & Tang, Maochun, 2023. "A new risk analysis approach to seek best production action during new product introduction," International Journal of Production Economics, Elsevier, vol. 262(C).
    4. William B. Haskell & Wenjie Huang & Huifu Xu, 2018. "Preference Elicitation and Robust Optimization with Multi-Attribute Quasi-Concave Choice Functions," Papers 1805.06632, arXiv.org.
    5. Ehsan Taheri & Chen Wang, 2018. "Eliciting Public Risk Preferences in Emergency Situations," Decision Analysis, INFORMS, vol. 15(4), pages 223-241, December.
    6. James E. Smith & James S. Dyer, 2021. "On (Measurable) Multiattribute Value Functions: An Expository Argument," Decision Analysis, INFORMS, vol. 18(4), pages 247-256, December.
    7. Richard Cookson & Owen Cotton-Barrett & Matthew Adler & Miqdad Asaria & Toby Ord, 2016. "Years of good life based on income and health: Re-engineering cost-benefit analysis to examine policy impacts on wellbeing and distributive justice," Working Papers 132cherp, Centre for Health Economics, University of York.
    8. Baruch Keren & Joseph Pliskin, 2011. "Optimal timing of joint replacement using mathematical programming and stochastic programming models," Health Care Management Science, Springer, vol. 14(4), pages 361-369, November.
    9. Bruno S. Frey & David A. Savage & Benno Torgler, 2009. "Surviving the Titanic Disaster: Economic, Natural and Social Determinants," CESifo Working Paper Series 2551, CESifo Group Munich.
    10. Ievgen Babeshko & Oleg Illiashenko & Vyacheslav Kharchenko & Kostiantyn Leontiev, 2022. "Towards Trustworthy Safety Assessment by Providing Expert and Tool-Based XMECA Techniques," Mathematics, MDPI, vol. 10(13), pages 1-25, June.
    11. Benjamin Cabanes & Stéphane Hubac & Pascal Le Masson & Benoit Weil, 2021. "Improving reliability engineering in product development based on design theory: the case of FMEA in the semiconductor industry," Post-Print hal-03143866, HAL.
    12. Zhi-Jiao Du & Zhi-Xiang Chen & Su-Min Yu, 2021. "Improved Failure Mode and Effect Analysis: Implementing Risk Assessment and Conflict Risk Mitigation with Probabilistic Linguistic Information," Mathematics, MDPI, vol. 9(11), pages 1-20, May.
    13. Lo, Huai-Wei & Liou, James J.H. & Huang, Chun-Nen & Chuang, Yen-Ching, 2019. "A novel failure mode and effect analysis model for machine tool risk analysis," Reliability Engineering and System Safety, Elsevier, vol. 183(C), pages 173-183.
    14. James S. Dyer & James E. Smith, 2021. "Innovations in the Science and Practice of Decision Analysis: The Role of Management Science," Management Science, INFORMS, vol. 67(9), pages 5364-5378, September.
    15. Donnelly, Catherine & Guillén, Montserrat & Nielsen, Jens Perch, 2014. "Bringing cost transparency to the life annuity market," Insurance: Mathematics and Economics, Elsevier, vol. 56(C), pages 14-27.
    16. Hammitt, James K. & Tuncel, Tuba, 2023. "Monetary values of increasing life expectancy: sensitivity to shifts of the survival curve," TSE Working Papers 23-1416, Toulouse School of Economics (TSE).
    17. Hansen, Kristian S. & Moreno-Ternero, Juan D. & Østerdal, Lars P., 2024. "Quality- and productivity-adjusted life years: From QALYs to PALYs and beyond," Journal of Health Economics, Elsevier, vol. 95(C).
    18. Bolbot, Victor & Theotokatos, Gerasimos & Bujorianu, Luminita Manuela & Boulougouris, Evangelos & Vassalos, Dracos, 2019. "Vulnerabilities and safety assurance methods in Cyber-Physical Systems: A comprehensive review," Reliability Engineering and System Safety, Elsevier, vol. 182(C), pages 179-193.
    19. Pi, Shiqiang & Liu, Ying & Chen, Haiyan & Deng, Yan & Xiao, Longyuan, 2021. "Probability of loss of assured safety in systems with weak and strong links subject to dependent failures and random shocks," Reliability Engineering and System Safety, Elsevier, vol. 209(C).
    20. Chen, Yinuo & Tian, Zhigang & He, Rui & Wang, Yifei & Xie, Shuyi, 2023. "Discovery of potential risks for the gas transmission station using monitoring data and the OOBN method," Reliability Engineering and System Safety, Elsevier, vol. 232(C).

    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:jijerp:v:18:y:2021:i:9:p:4849-:d:547668. 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.