Permit-to-Work Systems as a Health and Safety Risk Control Strategy in Mining: A Prospective Study in Resilience Engineering

Pillay, Manikam; Tuck, Michael

doi:10.1007/978-3-319-60645-3_14

Cited by 3 publications

(2 citation statements)

References 18 publications

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“…Various types of permit-to-work management systems were proposed in multifarious situations. A system was developed to link computerized permit-to-work to a database, which reviews the nature of work, equipment and chemicals, and draws the users' attention to relevant reports without explicit searches or further data [10,39]. A qualitative study for permit-to-work systems was utilized by collecting information from various sources: Through a comprehensive Ref.…”

Section: Permit-to-work Management Systemmentioning

confidence: 99%

Development of permit-to-work management system based on POP model for petrochemical construction safety

Chen¹,

Jiang²,

Zhou³

2023

Journal of Intelligent Construction

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Keywordspetrochemical construction permit-to-work management system product, organization, and process (POP) modeling face recognitionThe process of new construction and reconstruction projects in the petrochemical industry is complicated, and the construction accidents have a domino effect. Construction permit-to-work management is an important part of petrochemical engineering, mainly to ensure the identity of workers entering the construction area and permit-to-work qualification. The previous research on permit-to-work management mainly focused on the standardization of the permit-to-work issuing process and the precision of the implementation process rather than specific and implementable technological means. However, with the increase of new construction and reconstruction projects in the petrochemical industry, the traditional and paper-based work permit management model cannot effectively prevent people without working qualifications from entering the construction site at the source, and these solutions do not take into account the compliance, feasibility, and timeliness of the use of qualified permit-to-work. Therefore, from the perspective of brand-new management theory, this study organizes the elements of petrochemical construction permit-to-work management into three levels of product, organization, and process (POP). Then the permit-to-work management system of petrochemical construction based on the POP model is proposed. The face recognition technology is used to realize the real-time dynamic control of the system. The results show that the validity of the petrochemical construction permit-to-work management system based on the POP model in the actual project can realize the transformation permitto-work from paper to electronic. In addition, it can effectively and quickly verify the permit-to-work qualification of the entry personnel and prevent the retired personnel from returning to the site.

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Section: Permit-to-work Management Systemmentioning

confidence: 99%

Development of permit-to-work management system based on POP model for petrochemical construction safety

Chen¹,

Jiang²,

Zhou³

2023

Journal of Intelligent Construction

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“…Safety culture is a guiding principle for many industries, including mining (Pillay et al, 2010), construction (Wamuziri, 2006), offshore drilling (Cox & Cheyne, 2000), medical care (Singer & Vogus, 2013), and many others. Although errors in psychological research are not likely to be immediately life-threatening in the way that mistakes in these disciplines can be, psychology researchers can benefit from the lessons derived from these higher-risk fields to minimize errors.…”

Section: Best Practices For Error Preventionmentioning

confidence: 99%

Error tight: Exercises for lab groups to prevent research mistakes.

Strand¹

2023

Psychological Methods

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Scientists, being human, make mistakes. We transcribe things incorrectly, we make errors in our code, and we intend to do things and then forget. The consequences of errors in research may be as minor as wasted time and annoyance, but may be as severe as losing months of work or having to retract an article. The purpose of this tutorial is to help lab groups identify places in their research workflow where errors may occur and identify ways to avoid them. To do this, this article applies concepts from human factors research on how to create lab cultures and workflows that are intended to minimize errors. This article does not provide a one-size-fits-all set of guidelines for specific practices to use (e.g., one platform on which to backup data); instead, it gives examples of ways that mistakes can occur in research along with recommendations for systems that avoid and detect them. This tutorial is intended to be used as a discussion prompt prior to a lab meeting to help researchers reflect on their own processes and implement safeguards to avoid future errors.

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