Lynsey

CAN Case Study

This CAN case study highlights the importance of getting your HAVS risk management strategy right for each individual circumstance. CAN (part of RSK Group) was established in the UK in 1983, and now employs around 200 staff. With their Head Office in  Chesterfield, Derbyshire, they undertake various civil engineering work, structural installations, and maintenance projects,

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Don’t assume battery powered tools emit lower vibration levels

There is a common assumption that battery powered tools emit lower vibration levels than traditionally-powered tools. And you can see why – less moving parts to generate power suggests lower vibrations, but is this assumption correct? We take a look at the findings of the recently published HSEs study: Hand-arm vibration and noise emissions of

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HAVSPRO

HAVSPRO showcases their unique solution at The Health & Safety Event 2023

SIXIS Technology are showcasing their unique HAVS risk management solution, HAVSPRO, on stand 3/J50, with on-tool demonstrations of its capabilities at The Health & Safety Event at the NEC, 25th –27th April. The unique, proactive solution for the continuous measuring and monitoring of vibration exposure The ground-breaking solution for the accurate, real-time measurement and proactive

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Hand arm vibration syndrome: How to protect your staff and business

The Health & Safety Executive enforce the Control of Vibration at Work Regulations 2005, which aims to protect against hand arm vibration syndrome (HAVS) and whole-body vibration health conditions. As a business or organisation who uses vibrating tools or equipment, you are legally required to manage the risk posed by vibration to as low as

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Assumed Vibration Data or Continuous Measuring and Monitoring?

When conducting your HAVS risk assessments, there are 2 main pieces of information that are used to assess risk: vibration magnitude and exposure time. Typically, there are two types of vibration magnitude data that can be used; assumed data or continuously measured and monitored data. The issue of using assumed data verses continuously measured and

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