Related Experiment Videos
A framework for performing workplace hazard and risk analysis: a participative ergonomics approach
1Department of Industrial Engineering and Management, Shenkar College of Engineering and Design, Ramat-Gan, 52526, Israel. idomorag@shenkar.ac.il
Ergonomics
|May 11, 2013
Summary
Participatory ergonomics (PE) analysis requires a theoretical framework for effective workplace interventions. Key elements for successful PE implementation include strong managerial leadership, broad workforce involvement, and simplified reporting for practical guidance.
Area of Science:
- Occupational Health
- Ergonomics
- Human Factors Engineering
Background:
- Workplace analysis using participatory ergonomics (PE) is crucial for preventive interventions.
- A lack of agreement exists regarding the necessity of a theoretical framework for practical PE guidance.
Purpose of the Study:
- To develop a conceptual framework for participatory ergonomics (PE) analysis.
- To provide practical guidance for workplace ergonomics analysis.
Main Methods:
- A review of 20 studies identified five key dimensions for characterizing an analytical structure in PE.
- A case study in a chemical manufacturing plant evaluated the proposed framework's feasibility.
Main Results:
- The proposed PE framework includes workforce involvement extent, analysis duration, reporter role diversity, analysis scope, and information system support.
- Managerial leadership, universal job holder participation, and simplified reporting were identified as fundamental to successful PE analysis.
Conclusions:
- A structured theoretical framework enhances the practical application of participatory ergonomics.
- Successful PE implementation hinges on managerial support, comprehensive employee engagement, and streamlined reporting processes.
Related Concept Videos
01:11Hazard Rate
The hazard rate, also known as the hazard function or failure rate, is a statistical measure used to describe the instantaneous rate at which an event occurs, given that the event has not yet happened. From a probabilistic perspective, it represents the likelihood that a subject will experience the event in a very small time interval, conditional on surviving up to the beginning of that interval. In terms of frequency, the hazard rate can be viewed as the ratio of the number of events to the...
01:08The Availability Heuristic
A heuristic is a general problem-solving framework (Tversky & Kahneman, 1974). You can think of these as mental shortcuts that are used to solve problems. Different types of heuristics are used in different types of situations, and the impulse to use a heuristic occurs when one of five conditions is met (Pratkanis, 1989):
01:26Frames: Problem Solving II
Consider a hydraulic hoist supporting a load of 1 kN. Assuming a simplified schematic representation of this frame structure, the force acting on BD and BF members can be determined.
01:17Design Example: Analyzing Capacity Contours for Flood Risk Assessment
Flood risk assessment involves careful planning and analysis to ensure the safety of communities near water retention structures. Capacity contours are a vital tool in this process, as they illustrate the potential spread of water at specific levels in a given area. In the context of building a bund across a small valley, these contours play a critical role in evaluating the safety of nearby residential areas.In this example, the bund is intended to store stormwater in the valley. The engineers...
01:25Statistical Methods for Analyzing Epidemiological Data
Epidemiological data primarily involves information on specific populations' occurrence, distribution, and determinants of health and diseases. This data is crucial for understanding disease patterns and impacts, aiding public health decision-making and disease prevention strategies. The analysis of epidemiological data employs various statistical methods to interpret health-related data effectively. Here are some commonly used methods:
01:16Response Surface Methodology
Response Surface Methodology (RSM) is a collection of statistical and mathematical techniques used to develop, improve, and optimize processes. It is particularly valuable when many input variables or factors potentially influence a response variable.
The process of RSM involves several key steps:
The process of RSM involves several key steps: