Equipment failures and their contribution to industrial incidents and accidents in the manufacturing industry

References

• Bird FE, Germain GL. Damage control: a new horizon in accident prevention and cost improvement. New York: American Management Association; 1966.
   Google Scholar
• Sklet S. Methods for accident investigation. Trondheim: Norwegian University of Science and Technology, Department of Production and Quality Engineering; 2002.
   Google Scholar
• Leveson NG. Applying systems thinking to analyze and learn from events. Saf Sci. 2011;49:55–64. doi: 10.1016/j.ssci.2009.12.021
   Web of Science ®Google Scholar
• Moore R. Making common sense common practice: models for manufacturing excellence. 3rd ed. Burlington (MA): Elsevier; 2004.
   Google Scholar
• Moubray J. Reliability-centered maintenance. 2nd ed. New York: Industrial Press; 1997.
   Google Scholar
• Center for Disease Control and Prevention. Morbidity and mortality weekly report: occupational aviation fatalities – Alaska, 2000–2010. Atlanta (GA). 2011;60:837–840.
   Google Scholar
• Baker SP, Shanahan DF, Haaland W, et al. Helicopter crashes related to oil and gas operations in the Gulf of Mexico. Aviat Space Environ Med. 2011;82:885–889. doi: 10.3357/ASEM.3050.2011
   PubMedGoogle Scholar
• Sovacool BK. Questioning the safety and reliability of nuclear power: an assessment of nuclear incidents and accidents. GAIA: Ecological Perspectives for Science & Society. 2011;20:95–103.
   Web of Science ®Google Scholar
• Antão P, Almeida T, Jacinto C, et al. Causes of occupational accidents in the fishing sector in Portugal. Saf Sci. 2008;46:885–899. doi: 10.1016/j.ssci.2007.11.007
   Web of Science ®Google Scholar
• Wang J, Pillay A, Kwon YS, et al. An analysis of fishing vessel accidents. Accid Anal Prev. 2005;37:1019–1024. doi: 10.1016/j.aap.2005.05.005
   PubMed Web of Science ®Google Scholar
• Kecojevic V, Radomsky M. The causes and control of loader- and truck-related fatalities in surface mining operations. Int J Inj Contr Saf Promot. 2004;11:239–251. doi: 10.1080/156609704/233/289779
   Google Scholar
• Md-Nor Z, Kecojevic V, Komljenovic D, et al. Risk assessment for loader- and dozer-related fatal incidents in US mining. Int J Inj Contr Saf Promot. 2008;15:65–75. doi: 10.1080/17457300801977261
   PubMed Web of Science ®Google Scholar
• Chang JI, Lin CC. A study of storage tank accidents. J Loss Prev Process Ind. 2006;19:51–59. doi: 10.1016/j.jlp.2005.05.015
   Web of Science ®Google Scholar
• Uth HJ, Wiese N. Central collecting and evaluating of major accidents and near-miss-events in the Federal Republic of Germany – results, experiences, perspectives. J Hazard Mater. 2004;111:139–145. doi: 10.1016/j.jhazmat.2004.02.022
   PubMed Web of Science ®Google Scholar
• Konstandinidou M, Nivolianitou Z, Kefalogianni E, et al. In-depth analysis of the causal factors of incidents reported in the Greek petrochemical industry. Reliab Eng Syst Safe. 2011;96:1448–1455. doi: 10.1016/j.ress.2011.07.010
   Web of Science ®Google Scholar
• Vaidogas ER, Juocevičius V. Sustainable development and major industrial accidents: the beneficial role of risk-oriented structural engineering. Technol Econ Dev Eco. 2008;14:612–627. doi: 10.3846/1392-8619.2008.14.612-627
   Web of Science ®Google Scholar
• Government of Canada. Indicators of Well-being in Canada [Internet]. 2015. Available from: http://www4.hrsdc.gc.ca/[email protected]?iid=20http://www4.hrsdc.gc.ca/[email protected]?iid=20.
   Google Scholar
• Nenonen S. Fatal workplace accidents in outsourced operations in the manufacturing industry. Saf Sci. 2011;49: 1394–1403. doi: 10.1016/j.ssci.2011.06.004
   Web of Science ®Google Scholar
• Dei-Svaldi S, Charpentier P. Une étude des accidents en automatisme à partir de la base de données EPICEA [An accident study in process control using the EPICEA database]. Nancy: Institut nationnal de recherche et de sécurité; 2004. (INRS publication; no. 2216–196-04).
   Google Scholar
• Dźwiarek M. An analysis of accidents caused by improper functioning of machine control systems. Int J Occup Saf Ergon. 2004;10(2):129–136. 10.1080/10803548.2004.11076601 doi: 10.1080/10803548.2004.11076601
   PubMedGoogle Scholar
• Myers J. Risk-based decision-making guidelines – volume 3. Washington, DC: US Department of Homeland Security, US Coast Guard; 2010.
   Google Scholar
• Villemeur, A. Sûreté de fonctionnement des systèmes industriels: fiabilité, facteurs humains, informatisation [Dependability of industrial systems: reliability, human factors, computerization]. Paris: Eyrolles; 1988.
   Google Scholar
• Association française de normalisation. Terminologie relative à la fiabilité – maintenabilité – disponibilité [Terminology relating to reliability, maintainability and availability] (AFNOR standard No. X 60–500). La Plaine Saint-Denis: Association française de normalisation; 1988.
   Google Scholar
• Occupational Safety and Health Administration. Recording and reporting occupational injuries and illness (OSHA standard No. 1904). Washington, DC: US Department of Labour, Occupational Safety and Health Administration; 2013.
   Google Scholar
• Chi SA, Han SB. Analyses of systems theory for construction accident prevention with specific reference to OSHA accident reports. Int J Project Manage. 2013;31:1027–1041. doi: 10.1016/j.ijproman.2012.12.004
   Web of Science ®Google Scholar
• Khanzodea VV, Maitib J. Occupational injury and accident research: a comprehensive review. Saf Sci. 2012;50: 1355–1367. doi: 10.1016/j.ssci.2011.12.015
   Web of Science ®Google Scholar
• Lind S. Types and sources of fatal and severe non-fatal accidents in industrial maintenance. Int J Ind Ergon. 2008;38:927–933. doi: 10.1016/j.ergon.2008.03.002
   Web of Science ®Google Scholar
• Main B, Cloutier DR, Manuele FAet al,. Maintenance risk assessment – survey report. Ann Arbour (MI): Design safety engineering; 2002.
   Google Scholar