Machine Safety: Risk Assessment, Risk Reduction

ASME 2006 Citrus Engineering Conference ◽

10.1115/cec2006-5204 ◽

2006 ◽

Author(s):

Michael D. Ladd

Keyword(s):

Risk Assessment ◽

Risk Reduction ◽

Equipment Design ◽

Worker Safety ◽

End User ◽

Safety Risk ◽

Safety Standards ◽

The Us ◽

Machine Safety

Worker safety is an issue of major concern worldwide. Evidence to this fact is noted with recent efforts to harmonize US machine safety standards with that of the European Machinery Directive. Changes to the US standards have a dramatic affect on new equipment design. Additionally, older machinery that is still in use must now be upgraded to meet these new requirements. In other words, the end user must now follow the same standards as new equipment manufacturers. Paper published with permission.

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Real-Time Safety Risk Assessment Based on a Real-Time Location System for Hydropower Construction Sites

The Scientific World JOURNAL ◽

10.1155/2014/235970 ◽

2014 ◽

Vol 2014 ◽

pp. 1-14 ◽

Cited By ~ 8

Author(s):

Hanchen Jiang ◽

Peng Lin ◽

Qixiang Fan ◽

Maoshan Qiang

Keyword(s):

Risk Assessment ◽

Real Time ◽

Simulation Analysis ◽

Probability Distributions ◽

Risk Identification ◽

Worker Safety ◽

Safety Risk ◽

Location System ◽

Quantitative Calculation ◽

Real Time Location System

The concern for workers’ safety in construction industry is reflected in many studies focusing on static safety risk identification and assessment. However, studies on real-time safety risk assessment aimed at reducing uncertainty and supporting quick response are rare. A method for real-time safety risk assessment (RTSRA) to implement a dynamic evaluation of worker safety states on construction site has been proposed in this paper. The method provides construction managers who are in charge of safety with more abundant information to reduce the uncertainty of the site. A quantitative calculation formula, integrating the influence of static and dynamic hazards and that of safety supervisors, is established to link the safety risk of workers with the locations of on-site assets. By employing the hidden Markov model (HMM), the RTSRA provides a mechanism for processing location data provided by the real-time location system (RTLS) and analyzing the probability distributions of different states in terms of false positives and negatives. Simulation analysis demonstrated the logic of the proposed method and how it works. Application case shows that the proposed RTSRA is both feasible and effective in managing construction project safety concerns.

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Identification of Hazards and Safety Measures in Food Processing Industry

International Journal of Innovative Technology and Exploring Engineering - Special Issue ◽

10.35940/ijitee.b1071.1292s219 ◽

2019 ◽

Vol 9 (2S2) ◽

pp. 1092-1097

Keyword(s):

Risk Assessment ◽

Manufacturing Industry ◽

High Potential ◽

Food Manufacturing ◽

Safety Risk ◽

Manufacturing Plants ◽

Or Groups ◽

Risk Areas ◽

Machine Safety ◽

The Individual

The investigation of this study mainly target the food manufacturing machinery equipment’s by conducting the risk assessment to identify high potential risk areas . The Risk assessment was carried out by using a tool known as MACHINE SAFETY RISK ASSESSMENT (MSRA) (Machine Safety Risk Assessment) .The focus of the work is an analysis of work demands being placed on Food manufacturing industry to the Limited workers, as there is a potential problems. MACHINE SAFETY RISK ASSESSMENT (MSRA) tool helps to identify the problems in a machine by directly investigating with the workers. In this investigation some major 25 machineries are taken for the assessments purpose. With the help of this investigations the major high potential hazards and most potential machinery areas can be easily identified. The results of this machinery risk assessments should be communicated to all relevant persons or groups who were not themselves involved in completing the assessment. Depending on the nature and scope of the assessment, this could include personnel directly involved in the activities, as well as those responsible for supervising or managing the activities. Communication is typically best carried out by the individual(s) who lead the risk assessment. The assessment concludes about 54% of hazards are happened due to the packing machinery sections, 24% of accidents causes in mixing machinery units while the oven and loading area reaches 10 to 12% of the accidents in the food manufacturing plants.

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