Weak signals management in occupational safety and health: A Delphi study

Nicolaidou, Olga; Dimopoulos, Christos; Mikellidou, Cleo Varianou; Mikellides, Neophytos; Boustras, Georgios

doi:10.1016/j.ssci.2021.105558

Cited by 3 publications

(2 citation statements)

References 20 publications

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“…Identifying the measures that are predictive of safety performance is crucial to evaluating workforce safety performance. To effectively perform this task, effective safety values, practices, and responsibilities were identified in several studies [3,5,11,12,15,20,26,[33][34][35]. For instance, Abudayyeh concluded that weekly working hours, safety budget, and dedication to safety regulations are essential indicators for an effective safety system [3].…”

Section: Workforce Safety Measures In the Construction Industrymentioning

confidence: 99%

“…They also ensure the implementation of the organization's programs and are aware of the workplace's safety situation [5]. Furthermore, when available, coordinators/managers play a significant role in maintaining a safe work environment as they are responsible for preventing all types of construction accidents [20]. They are also required to ensure that the safety plans are followed and maintain a commitment to occupational health and safety standards and rules.…”

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confidence: 99%

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Bayesian Network Models for Evaluating the Impact of Safety Measures Compliance on Reducing Accidents in the Construction Industry

et al. 2022

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Construction is one of the most hazardous industries worldwide. Implementing safety regulations is the responsibility of all parties involved in a construction project and must be performed systematically and synergistically to maximize safety performance and reduce accidents. This study aims to examine the level of safety compliance of construction personnel (i.e., top management, frontline supervisors, safety coordinators/managers, and workers) to gain insight into the top safety measures that lead to no major or frequent accidents and to predict the likelihood of having a construction site free of major or frequent accidents. To achieve the objectives, five safety measures subsets were collected and modeled using six combinations of five different Bayesian networks (BNs). The performance of these model classifiers was compared in terms of accuracy, sensitivity, specificity, recall, precision, F-measure, and area under the receiver operating characteristic curve. Then, the best model for each data subset was adopted. The inference was then performed to identify the probability of the commitment to safety measures to reduce major or frequent accidents and recommend enhancement regulations and practices. While the context in this paper is the Jordanian construction industry, the novelty of the work lies in the BN modeling methodology and recommendations that any country can adopt for evaluating the safety performance of its construction industry. This research endeavor is, therefore, a significant step toward providing knowledge about the top safety measures associated with reducing accidents and establishing efficiency comparison benchmarks for improving safety performance.

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Section: Workforce Safety Measures In the Construction Industrymentioning

confidence: 99%

mentioning

confidence: 99%

Bayesian Network Models for Evaluating the Impact of Safety Measures Compliance on Reducing Accidents in the Construction Industry

et al. 2022

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Developing Airport Safety Performance Indicators and Index

Na,

Choi

2023

J. Korean Soc. Aviat. Aeronaut.

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Similar to other industries, aviation has tried to eliminate operational risk through the application of technology and academic achievements.As a result, the aviation industry has achieved a good record and is regarded as being safe, with a low number of accidents (Liou et al., 2007). As a result, many states and air service providers are attempting to develop safety management systems (SMS). SMS assurance uses safety performance indicators (SPIs) to process past data in order to ensure better results over the next period (next year, next phase). As a result of this concept, sustainability can be achieved from disasters, which is widely used in other industries. A crucial component of effective risk management is the detection of events at a site, such as accidents and near misses

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A risk-based approach to construction control applied by a developer

Lapidus

Makarov

2022

Vestnik MGSU

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Introduction. The activity of a technical customer, performed in the course of implementing construction projects, encompasses numerous functions, including construction control. Given that multitasking is typical for intensive construction, construction control, performed by the technical customer, cannot reach 100 % of the activities conducted by the general contractor and subcontractors. Currently no regulatory documentation determines the level of danger of construction defects and violations of occupational health and safety requirements. In this regard, it is important to develop and implement methods that allow prioritizing the objects of control and management, and determine the sequence of violations to be eliminated. It is important to introduce a risk-based approach into construction control performed by the technical customer to solve these problems. The purpose of the study is to develop a methodology of risk-based construction control by the developer. The objectives of the research include identification, analysis and calculation of risks in the course of construction control. Materials and methods. In this article, methods of systemic and morphological analysis are used to identify risks; standards of the system of indicators applied to the product quality in construction are used to classify defects. Risks are calculated using risk management standards and provisions of the theory of probability, namely, Bayes’ theorem. Results. This article has an overview of application of risk management in construction; it substantiates the relevance of its implementation by the technical customer within the framework of the construction control system. The article identifies the main risks of construction control and suggests a method for calculating them using Bayes’ theorem. Methods of calculating the a posteriori probability of injury in the event of a violation of occupational health and safety rules are determined. In the article, the authors present a classification of defects of monolithic railway structures. The article provides sample classifications of defects of monolithic reinforced concrete structures. The method of calculating the risk of damage caused by a defect in a building structure is determined, which allows assessing the degree of the defect hazard. The method of calculating the a posteriori probability of adverse events in the course of detecting defects in building structures is determined. Conclusions. In the article, the authors present a methodology for identifying risks in the course of construction control. It encompasses the calculation of a posteriori probabilities of adverse events using three a priori indicators: the frequency of hazards, the frequency of damage, the frequency of hazards that cause damage. The prospects of further research are addressed in the conclusion section of the article.

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Weak signals management in occupational safety and health: A Delphi study

Cited by 3 publications

References 20 publications

Bayesian Network Models for Evaluating the Impact of Safety Measures Compliance on Reducing Accidents in the Construction Industry

Bayesian Network Models for Evaluating the Impact of Safety Measures Compliance on Reducing Accidents in the Construction Industry

Developing Airport Safety Performance Indicators and Index

A risk-based approach to construction control applied by a developer

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