Lifting-Moving-Model (LMM)

Lifting-Moving-Model

Lifting-Moving-Model (LMM)

目标

A model for assessing the risk of musculoskeletal disorders associated with manual handling tasks.

如何使用

优点

缺点

类别

最适合:

The Lifting-Moving-Model (LMM) methodology serves as a valuable tool for industries where manual handling of objects is prevalent, such as warehousing, construction, healthcare, and manufacturing. It is particularly beneficial during the design and assessment phases of task workflows, where ergonomic evaluations can significantly influence modifications that enhance worker safety and productivity. Participants in this process may include ergonomists, safety engineers, production managers, and occupational health specialists who collectively analyze lifting and moving tasks to identify risks associated with musculoskeletal disorders. The methodology encourages data collection on various factors, including load weight, duration of task exposure, and worker posture, enabling quantitative risk assessments that allow organizations to prioritize interventions effectively. LMM can be applied not only for evaluating existing tasks but also when designing new operations or workstations, ensuring that ergonomics is integrated from the beginning of the design process. This results in lowered injury rates, improved compliance with safety regulations, and can lead to potential cost savings by reducing workers’ compensation claims and increasing overall efficiency. Industries adopting LMM can benefit from its comparative risk analysis capabilities, allowing them to evaluate and improve the ergonomics of multiple tasks systematically.

该方法的关键步骤

  1. Identify and define the lifting and moving tasks to be assessed.
  2. Determine the weight of the object being lifted or moved.
  3. Measure the horizontal and vertical distance of the lift or move.
  4. Assess the posture of the worker during the task, noting angles of joints.
  5. Evaluate the frequency and duration of the lifting or moving task.
  6. Calculate the Lifting-Moving-Model risk score using established formulas.
  7. Rank tasks based on the calculated risk scores for prioritization.

专业提示

  • Incorporate real-time monitoring technologies, such as 可穿戴 sensors, to capture dynamic data on lifting mechanics and worker postures, enhancing the precision of LMM applications.
  • Perform sensitivity analyses using LMM to identify which variables exert the most influence on risk outcomes and target those for ergonomic interventions effectively.
  • Leverage comparative risk assessment by applying LMM to historical task data, enabling prioritization of high-risk tasks for redesign or training interventions.

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