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Safety
Performance Metrics Part 2 (from Pulp & Paper Magazine, a Paperloop Publication)
In the
last issue, I gave you an overview of the traditional measurements that have
been used for many years to determine the effectiveness of a safety process. These three standards (Incident Rate, Severity Rate, and Incident Cost)
are good measurements, but they are merely the foundation of safety metrics. If a company places too much emphasis on them, they run the risk of
encouraging employees to under-report incidents: an employee doesn’t report a shoulder strain because his department
is close to reaching a goal, or a team leader doesn’t report damaged
equipment hoping the next shift will take the downtime instead of her shift. In an effort to track and measure performance, we have occasionally
created monsters that we can’t control.
The other problem with relying on the above measures
is they will only tell you when your process has failed (or succeeded); they
can’t tell you where it went wrong or why.
The best way to avoid these risks is to measure (and
reward) something over which your employees have complete control. If supervisors and team leaders are required to hold one safety meeting
each month, then include that in your metrics program. If employees are required to attend one safety meeting per month,
participate in one training program per month, and make four safety
observations per week, then include those items in your metrics program. Require the same level of completion (95%?) of these tasks as employees
are held to for quality or production tasks. Failure to meet the objective must carry the same consequences as
failure to meet production requirements.
Redesigning safety metrics for your facility, you
would first list all of your safety process requirements.
For our example, I’ll list some typical requirements
for a plant supervisor:
-
Hold safety meetings for the department
-
Department inspection
-
Attend safety training/meeting held by location Safety Manager
-
Ergonomics task review/observation
-
Reduce injuries & occupational illnesses
-
Control severity
-
Control incident costs
Your company may require more or less than the above,
but we’ll go with these.
To make it easier to assemble and track,
we’ll put these requirements in a grid, assign some goals, and assign a
weight to each requirement. I
would recommend placing the emphasis on incident prevention tasks which the
supervisor can control and those designed to address specific safety issues,
such as repetitive motion illness. Full
compliance with all task goals would result in an overall score of 100%.
Task |
Goal |
Actual |
Task
Weighting |
Compliance
With Goal (%) |
Hold
Safety Meeting |
1/month |
|
20% |
|
Department
inspections |
4/month |
|
15% |
|
Attend
safety training / meeting held by location Safety Manager |
1/month |
|
15% |
|
Ergonomics
- task review / observation |
6/month |
|
20% |
|
Reduce
injuries & occupational illnesses |
2.0
incident rate |
|
10% |
|
Control
severity |
25.0
severity rate |
|
10% |
|
Control
incident costs |
$0.03/work
hour |
|
10% |
|
Overall
score: |
|
To further encourage performance, overall scores
should be rolled up and scores posted for department managers, unit or plant
managers, and even division vice presidents. If you work in a multiple location company, this is a good way to compare
safety activities from one location to another. (Incident
Cost goals can be adjusted for regional differences in medical costs.)
As previously stated, safety goals/objectives should
be measurable, attainable, and reasonable. Accountability must be built into the system with goals/objectives
tied into annual performance reviews. Be
sure you understand how much time will be needed to manage a complex measurement
system before you put it into place. Safety professionals without clerical
support may need to find additional resources if the measurement system is
complex or if there are a large number of supervisors in the facility. Alternatives include the use of safety committee members to assist with
the collection and tabulation of measurement data.
|