Working in a warehouse, manufacturing or distribution center carries inherent risk. But, identifying risk factors with predictive analytic insight facilitates solutions to drastically reduce impacts and injuries.
Predictive analytic software allows a facility to recognize the potential for worker injuries based on historical data and certain common risk indicators. It is ranked as one of the most effective means to reduce safety-related risk. You gain preemptive risk management that keeps employees safe and reduces the costs associated with fatal and nonfatal injuries.
How predictive analytics work
Approximately 42% of forklift fatalities result from the operator being crushed by a tipping vehicle. This can happen because of poor placement of a load, loads that are too heavy, or the result of not using a seatbelt, which is required by OSHA. Does your facility have a history of these bad habits?
There is much to be learned from historical data. Risk may be inherent to operating a forklift, but there are several risk factors you can avoid if they are identified.
Here's a few to watch for, according to OSHA:
- Lack of proper tools, attachments and accessories.
- Operators using forklifts they’re not qualified to operate
- Poor forklift maintenance
Poor operator habits or behaviors
- Operators exceeding speed limits and pedestrian warnings
- Riding with the load elevated
- Poor communication during shared tasks/shared spaces
- Improper backing up, turning, and braking skills.
- Riding or giving rides on the forklift
- Erratic driving or horseplay; stunt driving
- Failure to follow safety checklists and servicing/repairs when needed
Improper load procedures
- Carrying a load that is too heavy
- Poorly stacked or piled loads on the pallet
- Load that blocks vision or is unstable
Poor workspace configuration
- Narrow, crowded aisles
- Obstructions at intersections and doors.
- High volume of traffic in work area and poor routing plan
- Multiple ramps with different surfaces
Statistically, 11% of all forklifts will be involved in an accident. But your software platform can help avoid that statistic.
- 70% of all forklift accidents can be avoided with proper training and processes.
- A telematic operator report card provides a quick view of operator performance and allows managers to identify areas where training may be needed.
- Daily safety inspection checklists help avoid accidents and insure repairs are completed.
- Your telematic software system should require checklists be completed for the vehicle to operate.
- Regular maintenance keeps forklifts safe to operate.
- A telematic maintenance report card allows a quick view of forklift maintenance and history KPI targets.
Predictive analytics save money
The total cost of work injuries in 2017 was $161.5 billion. This figure includes wage and productivity losses of $50.7 billion, medical expenses of $34.3 billion and administrative expenses of $52.0 billion. This total also includes the value of time lost by injured workers.
From workplace conditions to operator habits, predictive analytics help identify common risk factors in your facility and address safety deficits before they lead to a costly accident. The best way to deal with impacts and injuries is to take steps to avoid them.