A method to analyze the risk of work-related upper limb disorders (WRULDs) due to repetitive tasks.
- Methodologies: Engineering, Product Design, Project Management
OCRA (Occupational Repetitive Actions)

OCRA (Occupational Repetitive Actions)
- Continuous Improvement, Ergonomics, Human Factors, Lean Manufacturing, Process Improvement, Quality Management, Risk Analysis, Risk Management, Safety
Objective:
How it’s used:
- Calculates an index based on factors like frequency of actions, forces exerted, postures and movements, duration of repetitive work, and recovery periods. Higher scores indicate higher risk.
Pros
- Provides a detailed quantitative assessment of risk for repetitive upper limb tasks; considers a wide range of risk factors; useful for redesigning repetitive jobs.
Cons
- Complex to learn and apply correctly; data collection can be time-consuming; mainly focused on upper limb repetitive tasks.
Categories:
- Ergonomics
Best for:
- Assessing the risk of musculoskeletal disorders in the upper limbs due to repetitive work.
The OCRA methodology finds applications across various industries such as manufacturing, healthcare, and logistics, where repetitive upper limb movements are commonplace. It is particularly useful during the design and assessment phases of workstations and workflows, allowing engineers and ergonomists to identify risk factors before implementing new systems or modifying existing ones. Participants in this methodology typically include ergonomists, occupational health professionals, and production managers, who collaborate to analyze tasks and develop strategies for reducing risks associated with musculoskeletal disorders. For instance, in assembly lines, OCRA can aid in evaluating workstations where employees perform similar tasks rapidly and repetitively. The methodology accommodates various task characteristics, making it adaptable for different workflows, whether in high-paced environments like food processing or in more controlled settings like assembly of electronics. By providing a quantified index indicating risk levels, teams can prioritize interventions based on data-driven decisions that guide job redesigns, rotation schedules, and appropriate rest periods, which contribute to improved worker well-being while maintaining productivity. Therefore, integrating OCRA allows organizations to proactively address potential hazards before they lead to injuries, supporting a culture of safety and efficiency.
Key steps of this methodology
- Identify the specific task being evaluated for repetitive actions.
- Determine the frequency of actions performed per hour.
- Assess the forces exerted during the task, quantifying the level of exertion.
- Evaluate the postures and movements adopted throughout the task.
- Record the duration of the repetitive task in each working cycle.
- Account for recovery periods between repetitions and shifts.
- Calculate the OCRA index based on the collected data and defined factors.
- Interpret the OCRA index score to assess the risk of musculoskeletal disorders.
- Propose modifications to reduce risk factors based on the assessment.
Pro Tips
- Incorporate real-time motion capture technology to analyze repetitive actions more accurately, allowing for precise adjustments to ergonomics.
- Utilize machine learning algorithms to predict potential risk factors by analyzing historical OCRA data across various job roles, leading to proactive ergonomic interventions.
- Regularly update the input parameters based on emerging research and case studies to refine the OCRA scoring system, ensuring it reflects the latest findings in biomechanics and occupational health.
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