Occupational safety risks during maintenance of telecommunication towers

Occupational safety problems are no longer acceptable for any industrial environment. Lack of comprehensive and reliable evaluations for occupational safety causes many undesired events and harm to employees during the industrial process. In this study, it is aimed to develop an applicable risk analysis methodology for evaluating the undesired occupational events that occurred in the multi-process system where no historical accident records. The difficulty in obtaining and analyzing the data required for the determination of the occupational safety risks especially in the manually executed processes has been overcome with the Bayesian Network and interval type-2 fuzzy sets by using the expert judgments. While BN enables to development of a comprehensive reasoning approach about the occurrence of the events, interval type-2 fuzzy sets better represent the ambiguity in the judgments by covering the uncertainty in a wider mathematical range with less computational effort according to other fuzzy sets. During multi-processes in industrial activity, various occupational undesired events may occur, including rare events with very serious consequences or frequent events with very low severity consequences. To able to consider all kinds of events occurring in an industrial environment from a holistic risk perspective, a novel fuzzy scale for specifying the probability and consequence of the events are proposed by the interval type-2 fuzzy numbers. Therefore, all undesired events regard-less the probability and consequence which may occur during the multi-processes in a system and the main root causes of these events can be observed within the proposed methodology. A case study is used to emphasize the effect of the proposed methodology for risk analysis of occupational safety in underground mining. The results have indicated that occupational safety education is the most contributing factor to occurring the undesired occupational events in underground mining. We believe that this study could help evaluate the safety risk of the multi-process systems comprehensively and holistically and proposing strategic planning for mitigating the occupational safety risks.

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How and how well do workplace assessments work? Using contextual variations in a theory-based evaluation with a large N

Evaluation ◽

10.1177/1356389020980469 ◽

2021 ◽

pp. 135638902098046

Author(s):

Peter Dahler-Larsen ◽

Anna Sundby ◽

Adiilah Boodhoo

Keyword(s):

Occupational Safety ◽

Health And Safety ◽

Control Group ◽

The European Union ◽

The Public ◽

Work Related ◽

Regulatory Policies ◽

Safety Risks ◽

Large N ◽

Safety And Health

What can be said about effect of an intervention without a control group? The lack of evaluative evidence is a long-standing problem for regulatory policies against work-related health and safety risks. The European Union Occupational Safety and Health Framework has been in operation for three decades and covers more than 200 million workers, but the most recent evaluation was inconclusive about the benefits generated by this framework. A theory-based evaluation focusing on mechanisms in combination with a design capturing within-intervention variations offers a way forward. The idea is to measure the prevalence of most likely mechanisms and their correlation with outcomes. This approach is illustrated in a large- N evaluation of the use of workplace assessments in the public sector in Denmark. The strengths and weakness of the workplace assessment legislation are assessed. It is shown how findings based on the presented approach contribute to the public debate about workplace assessments.

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Penentuan Prioritas Strategi Pengelolaan K3 Proyek Pemasangan Pipa Gas Menggunakan Pendekatan Metode AHP

Jurnal Teknik Industri ◽

10.22219/jtiumm.vol19.no2.107-117 ◽

2018 ◽

Vol 19 (2) ◽

pp. 107

Author(s):

Rosita Robi Agustini ◽

Dino Rimantho

Keyword(s):

Occupational Safety ◽

Safety Management ◽

Management Strategies ◽

Health And Safety ◽

Gas Pipeline ◽

Ahp Method ◽

Safety Risks ◽

Accident Management ◽

Work Accident ◽

Pair Wise Comparison

The pipeline is an immobile transport medium that functions to distribute liquids and gases. The pipeline installation project is one of the Engineering Procurement and Construction (EPC) projects that has the potential for accident and occupational safety risks. The purpose of this research is to determine the priority of work accident management strategies gas pipeline by applying the AHP method. Brainstorming and pair-wise comparison approaches were conducted by experts. A total of three experts are used as key informants in assessing paired comparisons. The results show that there are four main factors that could potentially result in the risk of working accidents such as humans, machines, methods, and materials. Furthermore, based on the analysis result shows that human factor is the highest priority and environmental factor as the lowest priority. The AHP method application in this study indicates that this method can be used to determine the priority of each criterion and sub-criteria on the health and safety management strategy of the gas pipeline installation project. The implication of this in the application of AHP in other issues required more in-depth review related to the criteria and sub-criteria that are used to obtain more comprehensive results.

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Knowledge and Motivation with Safe Behavior of Informal Sector Female Worker

Jurnal Kesehatan Masyarakat ◽

10.15294/kemas.v15i3.21123 ◽

2020 ◽

Vol 15 (3) ◽

pp. 406-418

Author(s):

Suryanto Suryanto ◽

Damairia Hayu Parmasari

Keyword(s):

Informal Sector ◽

Significant Relationship ◽

Occupational Safety ◽

Chi Square ◽

Cross Sectional ◽

Safety Risks ◽

New Findings ◽

Safe Behavior ◽

Questionnaire Research ◽

Chi Square Analysis

One of the informal sectors that absorbs labors in Indonesia is informal work in the household. This job can absorb workers but having health problems and safety risks if they do not apply safe behavior. Factors influence safe behavior are knowledge and motivation. This study is to determine the relationship of knowledge and motivation to safe behavior in the informal sector female workers. This research is cross-sectional quantitative observational design. The sample are 45 workers. The independent variables are knowledge and motivation. The dependent variable is safe behavior. The instrument is questionnaire. Research data is analyzed by chi-square. The result of the study showed no significant relationship between knowledge and safe behavior (p=0,496>0,05). Chi square analysis showed there is no significant relationship between motivation and safe behavior with p=0.545> 0.05. This study gives insignificant results, so the next researcher can discuss more factors that influence safe behavior with different research methods so that they can enrich new findings in the field of Occupational Safety and Health, both of which later give significant or insignificant results. Therefore, this research is important to be published. The conclusion from the study is no significant relationship between knowledge and motivation to safe behavior.

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An Internet of Things (IoT)-based risk monitoring system for managing cold supply chain risks

Industrial Management & Data Systems ◽

10.1108/imds-09-2017-0384 ◽

2018 ◽

Vol 118 (7) ◽

pp. 1432-1462 ◽

Cited By ~ 23

Author(s):

Y.P. Tsang ◽

K.L. Choy ◽

C.H. Wu ◽

G.T.S. Ho ◽

Cathy H.Y. Lam ◽

...

Keyword(s):

Risk Assessment ◽

Supply Chain ◽

Product Quality ◽

Environmental Conditions ◽

Occupational Safety ◽

Cold Chain ◽

Safety Risk ◽

Content Type ◽

Risk Monitoring ◽

Safety Risks

PurposeSince the handling of environmentally sensitive products requires close monitoring under prescribed conditions throughout the supply chain, it is essential to manage specific supply chain risks, i.e. maintaining good environmental conditions, and ensuring occupational safety in the cold environment. The purpose of this paper is to propose an Internet of Things (IoT)-based risk monitoring system (IoTRMS) for controlling product quality and occupational safety risks in cold chains. Real-time product monitoring and risk assessment in personal occupational safety can be then effectively established throughout the entire cold chain.Design/methodology/approachIn the design of IoTRMS, there are three major components for risk monitoring in cold chains, namely: wireless sensor network; cloud database services; and fuzzy logic approach. The wireless sensor network is deployed to collect ambient environmental conditions automatically, and the collected information is then managed and applied to a product quality degradation model in the cloud database. The fuzzy logic approach is applied in evaluating the cold-associated occupational safety risk of the different cold chain parties considering specific personal health status. To examine the performance of the proposed system, a cold chain service provider is selected for conducting a comparative analysis before and after applying the IoTRMS.FindingsThe real-time environmental monitoring ensures that the products handled within the desired conditions, namely temperature, humidity and lighting intensity so that any violation of the handling requirements is visible among all cold chain parties. In addition, for cold warehouses and rooms in different cold chain facilities, the personal occupational safety risk assessment is established by considering the surrounding environment and the operators’ personal health status. The frequency of occupational safety risks occurring, including cold-related accidents and injuries, can be greatly reduced. In addition, worker satisfaction and operational efficiency are improved. Therefore, it provides a solid foundation for assessing and identifying product quality and occupational safety risks in cold chain activities.Originality/valueThe cold chain is developed for managing environmentally sensitive products in the right conditions. Most studies found that the risks in cold chain are related to the fluctuation of environmental conditions, resulting in poor product quality and negative influences on consumer health. In addition, there is a lack of occupational safety risk consideration for those who work in cold environments. Therefore, this paper proposes IoTRMS to contribute the area of risk monitoring by means of the IoT application and artificial intelligence techniques. The risk assessment and identification can be effectively established, resulting in secure product quality and appropriate occupational safety management.

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Developing a Model for Safety Risk Assessment under Uncertainty for the Manufacturing Industry: A Case Study of Pole Factory Hazards in Riyadh, Saudi Arabia

Mathematical Problems in Engineering ◽

10.1155/2021/6691124 ◽

2021 ◽

Vol 2021 ◽

pp. 1-13

Author(s):

Aref Ahmed ◽

Mohammed Alkahtani ◽

Abdulaziz M. El-Tamimi ◽

Husam Kaid ◽

Mustufa Haider Abidi

Keyword(s):

Saudi Arabia ◽

Manufacturing Industry ◽

Occupational Safety ◽

Historical Data ◽

Occupational Injuries ◽

Epistemic Uncertainty ◽

Safety Risk ◽

Safety Risks ◽

Proposed Model

Many occupational injuries occur in the manufacturing industry due to hazardous events. The available studies and statistics on occupational safety in the Kingdom of Saudi Arabia demonstrate the need for improving the work environment by introducing effective techniques for analyzing and assessing safety risks to control the most hazardous events. This study aims to develop a general model for assessing safety risks by integrating Monte Carlo simulation (MCS) and fuzzy set theory (FST) to overcome the uncertainty and unavailability of data on the severity and likelihood of hazards. MCS uses the ModelRisk software for modeling hazards that exhibit randomness and uncertainty and have historical data. In contrast, FST uses a Matlab code to assess expert judgment about hazards featuring epistemic uncertainty or unavailable historical data. The Al-Babtain Pole Factory in Riyadh was selected as a case study in the manufacturing environment to prove the applicability and effectiveness of the developed model. From the 371 hazards identified using the Occupational Health and Safety Assessment Series 18001, only five were analyzed using the two model techniques. The likelihood and severity of these five hazards were collected and analyzed to obtain the risk levels. A list of hazards and their processing priorities were then produced. According to the risk values calculated using both techniques, Hazard5 was found to be the most hazardous event, followed by Hazard1. The results of the proposed model demonstrated the distributions, statistics, percentiles, and risk limits for the selected hazards. These outputs support decision-making and increase the effectiveness and flexibility of safety risk assessments, which means that the proposed model is reliable and applicable for SRA under uncertainty and data unavailability in the manufacturing industry.

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Analysis of the Safety Risks of Working With Job Safety Analysis On the Installation of Scaffolding at PT. Jaya Konstruksi Jakarta

International Journal of Science, Technology & Management ◽

10.46729/ijstm.v1i3.59 ◽

2020 ◽

Vol 1 (3) ◽

pp. 275-287

Author(s):

Evi Mulyaningsih

Keyword(s):

High Risk ◽

Qualitative Method ◽

Occupational Safety ◽

Sampling Technique ◽

Risk Identification ◽

Potential Hazard ◽

Moderate Risk ◽

Extreme Risk ◽

Safety Risks ◽

Job Safety

Scaffolding has a large potential risk of accidents, this is due to more diverse workprocesses and scaffolding installation activities.The purpose to this study was todetermine the level of occupational safety risk in the scaffolding installation process.The method of study is qualitative method. There are 223 people in the studypopulation with the Slovin Formula, we got at least 30 people. The sample used 33people by purposive sampling technique with criteria of worker who have workedfor 3 year working, 1 year scaffolding installation experience and the educationminimize of senior high school. The data collected by deeply interview, documentstudy, observation and questionnaire. Data analyzing by data reduction, datapresentation and conclusion of verification. The results of study shows a. there are80 potential hazard risk identification that can pose a risk hazard; b. theconsequences and probability result is 5 x5, 4 x3, 3x and 2x1; c. the risk assessmentare 37,3 % extreme risk, 30 % high risk, 28.7 % moderate risk and 3.7 % low risk.Scratched risk is 0.038 on housekeeping at the level low risk so can be concludedthat most of scaffolding installation risk are at level extreme and high risk.

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