A systems approach to mining safety: an application of the Swiss Cheese Model

Bonsu, J.; Dyk, W. van; Franzidis, J.-P.; Petersen, F.; Isafiade, Adeniyi J.

doi:10.17159/2411-9717/2016/v116n8a10

Cited by 16 publications

(25 citation statements)

References 12 publications

(17 reference statements)

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“…Reason's Swiss Cheese Model [113]-James Reason developed a dynamic model to describe the relationship between human factor errors and safety accidents [114,115]. The model provides a general categorization of human errors into slips, lapses, mistakes, and violations.…”

Section: Original Contributionsmentioning

confidence: 99%

Why Do Workers Take Safety Risks?—A Conceptual Model for the Motivation Underpinning Perverse Agency

Pons

Pearse

2018

Safety

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Exposure to chronic harm is difficult to manage and prevent in industry. There is a need to better understand the state of mind when workers disregard safety processes and expose themselves to this type of risk. This paper develops a theoretical model of the reason why workers voluntarily expose themselves to occupational health and safety (OHS) hazards. This Risk, Agency, and Safety & Health (RASH) model proposes that people willingly expose themselves to chronic injuries via a series of risk-taking processes. This causal chain starts with personal motivation and over-alignment with organisational purpose (including impression management). Ideally, that motivation would be moderated by an ability to predict future harm consequences from the task at hand, but that mechanism is weak because it is difficult to predict cause and effect, the consequences are too far in the future, and the opportunities for vicarious learning are few. The motivation then causes misdirected creativity, hence the development of personally novel ways of solving the problem, albeit with greater risk of harm. Perverse agency then sustains actions that exposure the person to harm. Original contributions are the provision of a detailed explanation for risk-taking, and the integration of multiple well-established psychological constructs.

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Section: Original Contributionsmentioning

confidence: 99%

Why Do Workers Take Safety Risks?—A Conceptual Model for the Motivation Underpinning Perverse Agency

Pons

Pearse

2018

Safety

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“…Fakat tüm sisteme entegre olmaları ve daha ileri seviye analiz işlemleri yapabilmeleri için uygun bir altyapıya sahip olmaları önemlidir. Bazı araştırmacılar, iş sağlığı ve güvenliği yönetimi için veri entegrasyonu yöntemlerinden yararlanarak sistem altyapısının avantajlarını belirlemişlerdir [1,2] 3,00 00:00:00 01:00:00 02:00:00 03:00:00 04:00:00 05:00:00 06:00:00 07:00:00 08:00:00 09:00:00 10:00:00 11:00:00 12:00:00 13:00:00 14:00:00 15:00:00 16:00:00 17:00:00 18:00:00 19:00:00 20:00:00 21:00:00 22:00:00 23:00:00 Üretim zamanı başına güvensiz olay…”

Section: Introductionunclassified

A Data Integration Application for Occupational Health and Safety Management in the Mining Industry

Erkayaoğlu¹

2020

Çukurova Üniversitesi Mühendislik-Mimarlık Fakültesi Dergisi

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Madencilik endüstrisi, iş sağlığı ve güvenliği açısından değerlendirildiğinde, farklı mühendislik alanlarını ve bunlara bağlı riskleri kapsamaktadır. Günümüzde, teknoloji alanında yaşanan gelişmeler, madencilik endüstrisini mevcut donanım ve yazılımlar aracılığıyla, üretim, ekipmanların bakım/onarım durumu, maliyet, çevresel koşullar ve en önemlisi iş sağlığı ve güvenliği konusunda, veri toplayabilecek duruma getirmiştir. Bu çalışmada, iş sağlığı ve güvenliği ile ilgili farklı kaynaklardan elde edilen verilerin entegre edildiği bir uygulama sunulmaktadır. Veri entegrasyonu uygulamasında kullanılan, vaka çalışması sonucunda ekipman sağlığı ile ilgili güvensiz durum kayıtlarının, farklı ekipler ve taşıma işlemleri için incelenebileceği ortaya konmuştur. Özellikle vardiya başlangıçlarının, iş sağlığı ve güvenliği ile ilgili olayların yaşanabileceği bir zaman aralığı olduğu belirlenmiştir. Veri görselleştirmesi, analiz kabiliyeti açısından sınırlı olup, günümüzde kullanılan bilgi görselleri ve modern görselleştirme araçlarına rağmen, veri içerisindeki yapılar karmaşık hale gelebilmektedir. Belirli olayların sebepleri incelenirken, veri madenciliği gibi daha sistematik yöntemlerin kullanılması önerilmektedir.

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“…Despite extensive efforts to improve safety in mines, accidents remain a threat to the sustainability of the mining industry, as they can lead to injuries and death among workers, property degradation, and damage to the environment [ 1 ]. According to previous studies, the rate of accidents in the mining industry is very considerable [ 2 ].…”

Section: Introductionmentioning

confidence: 99%

“…Determining the interactions between causal factors of accidents can lead to better comprehension of the defects in the system. System-based accident analysis models can help to understand why accidents occur, and identifying patterns of accidents would be helpful for preventing their reoccurrence [ 2 ].…”

Section: Introductionmentioning

confidence: 99%

Effects of human and organizational deficiencies on workers’ safety behavior at a mining site in Iran

et al. 2018

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OBJECTIVESThroughout the world, mines are dangerous workplaces with high accident rates. According to the Statistical Center of Iran, the number of occupational accidents in Iranian mines has increased in recent years. This study investigated and analyzed the human and organizational deficiencies that influenced Iranian mining accidents.METHODSIn this study, the data associated with 305 mining accidents were analyzed using a systems analysis approach to identify critical deficiencies in organizational influences, unsafe supervision, preconditions for unsafe acts, and workers’ unsafe acts. Partial least square structural equation modeling (PLS-SEM) was utilized to model the interactions among these deficiencies.RESULTSOrganizational deficiencies had a direct positive effect on workers’ violations (path coefficient, 0.16) and workers’ errors (path coefficient, 0.23). The effect of unsafe supervision on workers’ violations and workers’ errors was also significant, with path coefficients of 0.14 and 0.20, respectively. Likewise, preconditions for unsafe acts had a significant effect on both workers’ violations (path coefficient, 0.16) and workers’ errors (path coefficient, 0.21). Moreover, organizational deficiencies had an indirect positive effect on workers’ unsafe acts, mediated by unsafe supervision and preconditions for unsafe acts. Among the variables examined in the current study, organizational influences had the strongest impact on workers’ unsafe acts.CONCLUSIONSOrganizational deficiencies were found to be the main cause of accidents in the mining sector, as they affected all other aspects of system safety. In order to prevent occupational accidents, organizational deficiencies should be modified first.

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A systems approach to mining safety: an application of the Swiss Cheese Model

Cited by 16 publications

References 12 publications

Why Do Workers Take Safety Risks?—A Conceptual Model for the Motivation Underpinning Perverse Agency

Why Do Workers Take Safety Risks?—A Conceptual Model for the Motivation Underpinning Perverse Agency

A Data Integration Application for Occupational Health and Safety Management in the Mining Industry

Effects of human and organizational deficiencies on workers’ safety behavior at a mining site in Iran

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