Open Access Open Access  Restricted Access Subscription Access

A Holistic Team Approach (HTA) Model to Curb Machinery Accidents in Power Plants


Affiliations
1 Department of Chemical Engineering, Universiti Teknologi PETRONAS, 32610 Seri Iskandar, Malaysia
2 School of Engineering, Robert Gordon University, AB10 7GJ Aberdeen, United Kingdom
3 Department of Finance, Putra Business School, 43400 Serdang, Malaysia
4 Department of Civil Engineering, Universiti Teknologi PETRONAS, 32610 Seri Iskandar, Malaysia
 

Machinery accidents have been an important aspect that needs proper attention in all work places in recent years especially power plants. A large number of accident cases have been reported from the year 2018 to 2022. Accident report from DOSH (Department of Safety and Health Malaysia) indicates that a significant number of machinery accident cases occur in power plants while PERKESO (Social Security Organisation Malaysia)has investigated and tabulated accidents based on area of workplace and injury. Research shows that most statistical studies do not comprise of a preventive model to curb machinery accidents, which involves employees and management. A model that comprises of Machinery or Area of work (M) and the type of injury (I) is identified and summed in a form of a scientific equation which results in the possible accident type (α) which is the accident occurred. A Holistic Team Approach (HTA) model is designed that involves a team for each element M and I which comprises of engineers, technicians and operators working in the same area of equipment and a management representative. Each team is assigned to specific accidents according to the M and I element and classified as α-combinations. Teams are sent for incident investigation where preventive actions and reporting are discussed. A decision analysis is performed based on the model that emphasizes two Process Safety Management (PSM) elements which are accident investigation and employee participation. The HTA model is able to reduce machinery accidents by involving the elements of machinery and injury types, which is applicable to workplaces worldwide.

Keywords

Employee, Injury, Management, Occupational safety, Process safety.
User
Notifications
Font Size

  • Shaluf I M, Ahmadun F R, Mustapha S, Said A M & Sharif R, Bright Sparklers fire and explosions: The lessons learned, Disaster Prev Manag, 11(3) (2002) 214–221, doi: 10.1108/09653560210435812.
  • Zainal A H F, Hassan K H & Zainol Z A, Regulating Risk of Nanomaterials for Workers through Soft Law Approach, Nanoethics, 14(2) (2020) 155–167, doi: 10.1007/S11569- 020-00363-7/METRICS.
  • Yazid M F H A, Ta G C & Mokhtar M, Classified Chemicals in Accordance with the Globally Harmonized System of Classification and Labeling of Chemicals: Comparison of Lists of the European Union, Japan, Malaysia and New Zealand, Saf Health Work, 11(2) (2020) 152–158, doi: 10.1016/J.SHAW.2020.03.002.
  • https://www.dosh.gov.my/index.php/statistic-v (5 March 2023)
  • Fu G, Xie X, Jia Q, Li Z, Chen P & Ge Y, The development history of accident causation models in the past 100 years: 24 Model, a more modern accident causation model, Process Saf Environ Prot, 134 (2020) 47–82, doi:10.1016/j.psep. 2019.11.027.
  • Sarkar S, Vinay S, Raj R, Maiti J & Mitra P, Application of optimized machine learning techniques for prediction of occupational accidents, Comput Oper Res, 106 (2019) 210- 224, doi: 10.1016/j.cor.2018.02.021.
  • Syakirah W, Abdullah W, Osman M, Zainal M & Ab A, The Potential and Status of Renewable Energy, Energies, 12(2437) (2019) 1–16, doi :10.3390/en12122437.
  • Beresford N A, Scott E M & Copplestone D, Field effects studies in the Chernobyl Exclusion Zone: Lessons to be learnt, J Environ Radioact, 211 (2020) 105893, doi: 10.1016/J.JENVRAD.2019.01.005.
  • Heinrich H W, Industrial accident prevention: A safety management approach (McGraw-Hill, New York) 1980, 468.
  • Bird F E, Loss control management (Institute Press) 1982, 562.
  • Lu Y, Ding E J, Du J, Chen G C & Zheng Y, Safety detection approach in industrial equipment based on RSSD with adaptive parameter optimization algorithm, Safety Sci, 125 (2020) 104605, doi: 10.1016/j.ssci.2020.104605.
  • Azadeh A, Saberi M, Rouzbahman M & Valianpour F, A neuro-fuzzy algorithm for assessment of health, safety, environment and ergonomics in a large petrochemical plant, J Loss Prev Process Ind, 34 (2015) 100–114, doi:10.1016/j.jlp.2015.01.008.
  • Ge H, Asgarpoor S & Hou J, Aging equipment maintainability assessment for management of critical utility assets, Proc IEEE PES (IEEE, USA) 2011, 127, doi:10.1109/PES.2011.6039217.
  • Jocelyn S, Ouali M S & Chinniah Y, Estimation of probability of harm in safety of machinery using an investigation systemic approach and Logical Analysis of Data, Safety Sci, 105 (2018) 32–45, doi:10.1016/ j.ssci.2018.01.018.
  • Martón I, Martorell P, Mullor R, Sánchez A I & Martorell S, Optimization of test and maintenance of ageing components consisting of multiple items and addressing effectiveness, Reliab Eng Syst Saf, 153 (2018) 151–158, doi:10.1016/ j.ress.2016.04.015.
  • Che H, Zeng S & Guo J, Reliability assessment of manmachine systems subject to mutually dependent machine degradation and human errors, Reliab Eng Syst Saf, 190 (2019) 106504, doi:10.1016/j.ress.2019.106504.
  • Ancione G, Bragatto P & Milazzo M F, A Bayesian networkbased approach for the assessment and management of ageing in major hazard establishments, J Loss Prev Process Ind, 64 (2020) 104080, doi:10.1016/j.jlp.2020.104080.
  • Chen W, Xu C, Shi Y, Ma J & Lu S, A hybrid Krigingbased reliability method for small failure probabilities,Reliab Eng Syst Saf, 189 (2019) 31–41, doi:10.1016/ j.ress.2019.04.003.
  • Okoh P & Haugen S, Maintenance-related major accidents: Classification of causes and case study, J Loss Prev Process Ind, 26(6) (2013) 1060–1070, doi:10.1016/ j.jlp.2013.04.002.
  • Kidam K & Hurme M, Analysis of equipment failures as contributors to chemical process accidents, Process Saf Environ Prot, 91(1–2) (2013) 61–78, doi: 10.1016/j. psep.2012.02.001.
  • Sui Y, Ding R & Wang H, A novel approach for occupational health and safety and environment risk assessment for nuclear power plant construction project, J Clean Prod, 258 (2020) 120945, doi:10.1016/J.JCLEPRO. 2020.120945.
  • Hanvold T N, Kines P, Nykänen M, Thomée S, Holte K A, Vuori J, Wærsted M & Veiersted K B, Occupational Safety and Health Among Young Workers in the Nordic Countries: A Systematic Literature Review, Saf Health Work, 10(1) (2019) 3–2, doi:10.1016/j.shaw.2018.12.003.
  • Milazzo M F & Bragatto P, A framework addressing a safe ageing management in complex industrial sites: The Italian experience in Seveso establishments, J Loss Prev Process Ind, 58 (2019) 70–81, doi:10.1016/ j.jlp.2019.01.005.
  • Laal F, Pouyakian M, Madvari R F, Khoshakhlagh A H & Halvani G H, Investigating the Impact of Establishing Integrated Management Systems on Accidents and Safety Performance Indices: A Case Study, Saf Health Work, 10(1) (2019) 54–60, doi:10.1016/J.SHAW.2018.04.001.
  • Wang X, He H & Li L, A Hierarchical Deep Domain Adaptation Approach for Fault Diagnosis of Power Plant Thermal System, IEEE Trans Ind Inform, 15(9) (2019) 5139–5148, doi:10.1109/TII.2019.2899118.
  • Chen T, Xing J & Huo X, Study on nonparametric statistic method applied to nuclear criticality safety analysis of spent fuel rack, Ann Nucl Energy, 137 (2020) 107065, doi: 10.1016/J.ANUCENE.2019.107065.
  • Feriyanto D, Abdulmalik S S & Zakaria S, Occupational Safety and Health (OSH) Practices and Its Influenced Factor - Review OSH in Malaysia, Int J Mech Mechatron Eng, 1(3) (2020) 108–117, doi:10.37869/IJATEC.V1I3.36.
  • Yon H, The Compliance Status of Chemical Management among Industries in Malaysia: The USECHH after 20 years, J Energy Resour Technol, 5(1) (2022) 7–20, doi:10.11113/ JEST.V5N1.99.
  • Samsuddin S & Ismail N, Trends of Workers Health Expenditure in Malaysia: Case Study on EIS's Contributors, SOCSO, Sains Humanika, 11(1) (2019) 11–16, doi:10. 11113/SH.V11N1.1245.
  • https://www.perkeso.gov.my/en/about-us/corporateinformation/ online-statistic-transaction.html (7February 2023).
  • Rukijkanpanich J & Mingmongkol M, Enhancing performance of maintenance in solar power plant, J Qual Maint Eng, 26(4) (2020) 575–591, doi:10.1108/JQME-11- 2018-0098/FULL/XML.

Abstract Views: 112

PDF Views: 57




  • A Holistic Team Approach (HTA) Model to Curb Machinery Accidents in Power Plants

Abstract Views: 112  |  PDF Views: 57

Authors

Kartikeyan Patma Nesan
Department of Chemical Engineering, Universiti Teknologi PETRONAS, 32610 Seri Iskandar, Malaysia
Azizul Buang
Department of Chemical Engineering, Universiti Teknologi PETRONAS, 32610 Seri Iskandar, Malaysia
Sivabalan Kaniapan
School of Engineering, Robert Gordon University, AB10 7GJ Aberdeen, United Kingdom
Dzulkarnain Zaini
Department of Chemical Engineering, Universiti Teknologi PETRONAS, 32610 Seri Iskandar, Malaysia
Vaashinni Patma Nesan
Department of Finance, Putra Business School, 43400 Serdang, Malaysia
Michael John Maria Razal
Department of Civil Engineering, Universiti Teknologi PETRONAS, 32610 Seri Iskandar, Malaysia

Abstract


Machinery accidents have been an important aspect that needs proper attention in all work places in recent years especially power plants. A large number of accident cases have been reported from the year 2018 to 2022. Accident report from DOSH (Department of Safety and Health Malaysia) indicates that a significant number of machinery accident cases occur in power plants while PERKESO (Social Security Organisation Malaysia)has investigated and tabulated accidents based on area of workplace and injury. Research shows that most statistical studies do not comprise of a preventive model to curb machinery accidents, which involves employees and management. A model that comprises of Machinery or Area of work (M) and the type of injury (I) is identified and summed in a form of a scientific equation which results in the possible accident type (α) which is the accident occurred. A Holistic Team Approach (HTA) model is designed that involves a team for each element M and I which comprises of engineers, technicians and operators working in the same area of equipment and a management representative. Each team is assigned to specific accidents according to the M and I element and classified as α-combinations. Teams are sent for incident investigation where preventive actions and reporting are discussed. A decision analysis is performed based on the model that emphasizes two Process Safety Management (PSM) elements which are accident investigation and employee participation. The HTA model is able to reduce machinery accidents by involving the elements of machinery and injury types, which is applicable to workplaces worldwide.

Keywords


Employee, Injury, Management, Occupational safety, Process safety.

References