This is the final post in a three-part series on Behavior Based Safety (BBS). In Part 1, I provided a high level overview of BBS programs and the five components that comprise a word-class program. Part 2 covers how to analyze observation data in order to identify critical at-risk behaviors, generate solutions, and change behavior.
When it comes to workplace safety, health and safety managers can never take too many precautions. But routine procedure can fall by the wayside to quicker methods that create more profit but also additional risk.
Small and mid-sized business often don't realize they can have the best of both worlds. Environmental, Health and Safety software provides a streamlined and transparent safety culture, all the while ensuring its return on investment.
As the Internet of Things makes its way into every transportation and logistics warehouse, shipping yard and truck, big data will play a much larger role than it ever has before in the industry.
In the case of environmental, health and safety software, reward comes without risk. While software benefits companies of all sizes, small and mid-sized businesses are most at risk for workplace safety citations, creating a need to reevaluate their safety management practices.
Two weeks ago, I posted The 5 Elements of World-class Behavior Based Safety (BBS): Part 1, the first post of a three-part series on Behavior Based Safety (BBS). In that post, I provided a high level overview of BBS programs and the five components that comprise a word-class program.
The Internet of Things is sweeping across industries and has carved itself a viable role in the transportation and logistics sector. When it comes to keeping workers safe, IoT is changing the game.
Anything and everything can happen on a worksite, yet safety managers must constantly be aware of the dangers—and that can be a very tall order if predictive modeling isn't incorporated.
The Occupational Safety and Health Administration puts together a list every year of the top 10 most common safety standards violations in workplaces across the country.
With the trove of data from IoT comes an opportunity for safety managers: They can leverage information with predictiveanalytics to better keep employees safe on the job.