2018-09-01 12:00 - Messages

Tower crane safety on construction sites: A complex sociotechnical system perspective

Tower crane is the lifeline of the construction industry, but tower crane accidents are still too frequent. Despite the significant progress in tower crane safety research, system thinking-based approaches are lacking. The aim of this paper is to analyze tower crane safety from a complex sociotechnical system perspective through implementing both qualitative and quantitative analysis methods. Characteristics of five tower crane safety system components are summarized with a new framework comprised of five system-based levels based on Rasmussen's risk management theory. Fifty-six contributing factors of tower crane safety were identified. The AcciMap technique was applied to qualitatively build a generic model for tower crane safety, which comprehensively presents the systems levels and casual paths of the contributing factors. A survey was conducted to quantitatively research the tower crane safety system. Nine main dimensions and 25 critical factors were found pertaining to the tower crane safety system. These results provide a new lens for tower crane safety and contribute new systems thinking applications in tower crane safety management.

Source: Zhou, W., Zhao, T., Liu, W. et Tang, J. (2018). Safety Science, 109, 95-108.

Literature review on the incentives and solutions for the bypassing of guards and protective devices on machinery

Bypassing guards and protective devices on machinery can lead to serious and fatal accidents. The aim of this paper is to conduct a comprehensive review that sheds light on the definition of bypassing, related regulations and standards, workers' incentives to bypass, and possible solutions to overcome this issue. The review generated 72 incentives to bypass guards and protective devices and 82 solutions. Some of the most frequent incentives included the necessity to remove safeguards in order to perform activities (e.g. adjustment, troubleshooting, maintenance, and installation), a lack of visibility, failures and a lack of reliability of the safeguards. This literature analysis suggests classifying the incentives into five categories: ergonomics, productivity, machine or safeguarding, behavior, and corporate climate. The solutions, which are related to the design, manufacturing, and usage phases, are classified into technical, organizational, and individual factors. These are all factors that influence the prevention of bypassing. The review shows that there is a lack of an integrated tool to prevent bypassing. This paper serves as a foundation to develop such a tool, as well as to provide useful insights into the incentives for bypassing, as well as preventive solutions that could be used as a guideline for researchers and OHS preventionists.

Source: Haghighi, A., Chinniah, Y. et Jocelyn, S. (2018). Safety Science.

Estimation of probability of harm in safety of machinery using an investigation systemic approach and Logical Analysis of Data

In safety of machinery, estimating the probability of occurrence of harm is a recurrent problem. This paper proposes and applies a new method to estimate that probability. Information regarding accidents involving machinery that is gathered and analyzed by experts is formatted based on a systemic-inspired model using the MELITO concept. Then, Logical Analysis of Data (LAD) is used to extract knowledge automatically to characterize accidents. MELITO describes the context in which the accident has occurred, gathering information about the moment (M), equipment (E), location (L), individual (I), task (T) and organization (O). LAD is a data mining algorithm that infers knowledge learning from a database. In this paper, a case study consisting of twenty-three fatal and serious accident reports involving belt conveyors is presented. Data on these accidents is classified according to MELITO. The inferred knowledge is presented in the form of interpretable patterns that characterize and distinguish fatalities from non-fatal harm. Each pattern consists of a Boolean equation from MELITO and covers a subset of accidents. Based on each pattern, the probability of the occurrence of harm related to a hazardous situation is estimated. Such probability is useful in monitoring risk behavior after the occurrence of a new accident, for instance.

Source: Jocelyn, S., Ouali, M. S. et Chinniah, Y. (2018). Safety science, 105, 32-45.

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