Model risk assessment form

This article gives an overview of the statistics on accidents at work. The paper contains the methods for improvement of the occupational safety system and gives a description of the development and implementation of an integrated evaluation system model. Risk assessment is presented and specific measures for efficiency improvement of occupational safety at construction companies are introduced.

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The Implementation of the POPMAR (Policy, Organising, Planning and Implementing, Measuring Performance, Audit and Reviewing) Model in Occupational Health and Safety Risk Management in an Indonesian Batik Company

The Indonesian Journal of Occupational Safety and Health ◽

10.20473/ijosh.v10i3.2021.420-432 ◽

2021 ◽

Vol 10 (3) ◽

pp. 420

Author(s):

Fandita Tonyka Maharani ◽

Zena Lynch

Keyword(s):

Risk Assessment ◽

Risk Management ◽

Occupational Health ◽

Health And Safety ◽

Occupational Health And Safety ◽

Hazard Identification ◽

Population Exposure ◽

Safety Hazards ◽

Model Risk ◽

The Uk

Introduction: In 2009, UNESCO declared Batik Indonesia as an Intangible Cultural Heritage of Humanity. This study examines the occupational health and safety hazards and risks that arise in a Batik company based on a case example of a Batik company in Surakarta, Indonesia. In Indonesia, Batik is categorized as traditional attire. Two kinds of Batik are produced - Batik tulis (traditionally handcrafted) and Batik printing, which uses specific printing tools. The UK Health Safety Executive (HSE) risk assessment framework is referred to in this study, which consists of: hazard identification, population exposure, risk evaluation, precaution development, recording findings, and regular appraisal of systems. Methods: Both observation and interviews (of workers) at the Batik company were utilized for this study as well as an independent risk assessment. Results: The findings highlighted physical, ergonomic, chemical, mechanical, and biological hazards, originating from the materials, tools, and working methods utilized in the batik production. Conclusion: Many of the issues highlighted by this study can be addressed via in-depth risk assessment, using the POPMAR model to frame the activities. This approach can create a positive pathway, leading to a continuous cycle of improvement which puts the workers’ health at the forefront of the business activities.Keywords: Batik, workers, hazard identification, HSE Model, risk management

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Study of Disaster Prevention Design Criteria in Typhoon-Rainstorm Prone Regions of China

Applied Mechanics and Materials ◽

10.4028/www.scientific.net/amm.353-356.2286 ◽

2013 ◽

Vol 353-356 ◽

pp. 2286-2293 ◽

Cited By ~ 1

Author(s):

Liang Pang ◽

Zhi Qiang Li

Keyword(s):

Risk Assessment ◽

Extreme Value Distribution ◽

Risk Level ◽

Disaster Prevention ◽

Design Flood ◽

Model Risk ◽

Flood Volume ◽

Prone Area ◽

Calculation Results ◽

Design Construction

With global warming and sea level rising, the frequency and intensity of typhoon-rainstorm induced disasters have been increasing. The infrastructures in typhoon-rainstorm prone area are menaced by natural hazards. This paper aimed to compare the risk level for infrastructures designed by China design code and by our proposed Multivariate Compound Extreme Value Distribution (MCEVD) model. Risk assessment of some important infrastructures in typhoon-rainstorm prone areas are performed using MCEVD as follows: disaster prevention design water level for estuarine city Shanghai and design flood volume for Three Gorges Dam (TGD).The calculation results show that risk assessment based on MCEVD is a reasonable method for engineering planning, design, construction and management.

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906Can mammographic density add value to the Gail model in risk-stratifying women in BreastScreen Australia?

International Journal of Epidemiology ◽

10.1093/ije/dyab168.682 ◽

2021 ◽

Vol 50 (Supplement_1) ◽

Author(s):

Louiza Velentzis ◽

Pietro Procopio ◽

Sarah Carr ◽

Lisa Devereux ◽

Bruce Mann ◽

...

Keyword(s):

Breast Cancer ◽

Risk Assessment ◽

Risk Stratification ◽

Mammographic Density ◽

Invasive Breast Cancer ◽

Odds Ratio ◽

Assessment Tool ◽

Questionnaire Data ◽

Gail Model ◽

Model Risk

Abstract Background There is significant interest in personalised, risk-based breast cancer screening. This requires high quality risk assessment. The ‘Gail model’ risk assessment tool has been validated on over 40,000 BreastScreen Australia participants. We assess whether adding mammographic density (MD) information improves risk stratification on that cohort. Methods We used questionnaire data, baseline MD readings (using AutoDensity) and linked screening and cancer registry records from 40,158 BreastScreen Australia participants aged 50–69 years (via the lifepool cohort). We investigated incident invasive breast cancer rates by quintiles of Gail model scores, MD, and combinations of Gail and MD. Results Gail scores and MD values were weakly correlated (r≤0.02). Gail and MD were each strong predictors of incident breast cancer, but stronger predictors when used in combination. For example, the odds ratio for incident invasive breast cancer was 3.6 (95%CI 2.5-6.3) for the 17% of women in the upper two quintiles of both Gail and MD scores compared to the 17% of women in the lower two quintiles of both scores. In comparison, the odds ratio for breast cancer between same-size (each 17%) upper and lower groups for Gail score alone was 2.5 (95%CI 1.8-3.4), and for MD 1.9 (95%CI 1.2-2.9). Conclusions Combining Gail and MD categories improves risk stratification on BreastScreen Australia participants, compared to using Gail or MD alone. Key messages While questionnaire data and MD measures are each strong predictors of future invasive breast cancer among BreastScreen Australia participants, risk prediction is stronger when questionnaire and MD measures are combined.

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Using the Bayesian network relative risk model risk assessment process to evaluate management alternatives for the South River and upper Shenandoah River, Virginia

Integrated Environmental Assessment and Management ◽

10.1002/ieam.1765 ◽

2016 ◽

Vol 13 (1) ◽

pp. 100-114 ◽

Cited By ~ 17

Author(s):

Annie F Johns ◽

Scarlett E Graham ◽

Meagan J Harris ◽

April J Markiewicz ◽

Jonah M Stinson ◽

...

Keyword(s):

Risk Assessment ◽

Relative Risk ◽

Bayesian Network ◽

Risk Model ◽

Assessment Process ◽

The South ◽

Model Risk ◽

Risk Assessment Process ◽

Management Alternatives ◽

Relative Risk Model

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Risk Management Failures

Review of Financial Studies ◽

10.1093/rfs/hhz115 ◽

2019 ◽

Vol 33 (6) ◽

pp. 2468-2505 ◽

Cited By ~ 3

Author(s):

Matthieu Bouvard ◽

Samuel Lee

Keyword(s):

Risk Assessment ◽

Risk Management ◽

Information Acquisition ◽

Model Risk ◽

Oxford University ◽

Management Quality ◽

Main Driver ◽

Trading Decisions ◽

Preemptive Competition ◽

Published Paper

Abstract We model risk management as information acquisition that delays trading decisions. In markets with preemptive competition, this can lead to a race to the bottom, where prioritizing trade execution over risk management is optimal for each firm, but collectively inefficient. As time competition intensifies, mean trading profit supplants risk concerns as the main driver of risk management quality, causing risk misallocation to rise with trading speed and volume. This pathology of risk management failure—the trio of time-consuming risk assessment, preemptive competition, and boom markets—has distinctive regulatory implications. Authors have furnished an Internet Appendix, which is available on the Oxford University Press Web site next to the link to the final published paper online.

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