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Overall labor effectiveness
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Overall labor effectiveness
Overall labor effectiveness (OLE) is a key performance indicator (KPI) that measures the utilization, performance, and quality of the workforce and its impact on productivity.
Similar to overall equipment effectiveness (OEE), OLE measures availability, performance, and quality.
OLE allows manufacturers to make operational decisions by giving them the ability to analyze the cumulative effect of these three workforce factors on productive output, while considering the impact of both direct and indirect labor.
OLE supports Lean and Six Sigma methodologies and applies them to workforce processes, allowing manufacturers to make labor-related activities more efficient, repeatable and impactful.
Source:
There are many factors that influence workforce availability and therefore the potential output of equipment and the manufacturing plant. OLE can help manufacturers be sure that they have the person with the right skills available at the right time by enabling manufacturers to locate areas where providing and scheduling the right mix of employees can increase the number of productive hours. OLE also accounts for labor utilization. Understanding where downtime losses are coming from and the impact they have on production can reveal root causes—which can include machine downtime, material delays, or absenteeism—that delay a line startup.
Calculation: Availability = Time operators are working productively / Time scheduled
Example:
Two employees (workforce) are scheduled to work 8 hour (480 minutes) shifts.
The normal shift includes a scheduled 30 minute break.
The employees experience 60 minutes of unscheduled downtime.
Scheduled Time = 960 min − 60 min break = 900 Min
Available Time = 900 min Scheduled − 120 min Unscheduled Downtime = 780 Min
Availability = 780 Avail Min / 900 Scheduled Min = 86.67%
Source:
When employees cannot perform their work within standard times, performance can suffer. Effective training can increase performance by improving the skills that directly impact the quality of output. A skilled operator knows how to measure work, understands the impacts of variability, and knows to stop production for corrective actions when quality falls below specified limits. Accurately measuring this metric with OLE can pinpoint performance improvement opportunities down to the individual level.
Calculation: Performance = Actual output of the operators / the expected output (or labor standard)
Example:
Two employees (workforce) are scheduled to work an 8-hour (480 minute) shift with a 30-minute scheduled break.
Available Time = 960 min − 60 min break − 120 min Unscheduled Downtime = 780 Min
The Standard Rate for the part being produced is 60 Units/Hour or 1 Minute/Unit
The Workforce produces 700 Total Units during the shift.
Time to Produce Parts = 700 Units * 1 Minutes/Unit = 700 Minutes
Performance = 700 minutes / 780 minutes = 89.74 %
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Overall labor effectiveness AI simulator
(@Overall labor effectiveness_simulator)
Overall labor effectiveness
Overall labor effectiveness (OLE) is a key performance indicator (KPI) that measures the utilization, performance, and quality of the workforce and its impact on productivity.
Similar to overall equipment effectiveness (OEE), OLE measures availability, performance, and quality.
OLE allows manufacturers to make operational decisions by giving them the ability to analyze the cumulative effect of these three workforce factors on productive output, while considering the impact of both direct and indirect labor.
OLE supports Lean and Six Sigma methodologies and applies them to workforce processes, allowing manufacturers to make labor-related activities more efficient, repeatable and impactful.
Source:
There are many factors that influence workforce availability and therefore the potential output of equipment and the manufacturing plant. OLE can help manufacturers be sure that they have the person with the right skills available at the right time by enabling manufacturers to locate areas where providing and scheduling the right mix of employees can increase the number of productive hours. OLE also accounts for labor utilization. Understanding where downtime losses are coming from and the impact they have on production can reveal root causes—which can include machine downtime, material delays, or absenteeism—that delay a line startup.
Calculation: Availability = Time operators are working productively / Time scheduled
Example:
Two employees (workforce) are scheduled to work 8 hour (480 minutes) shifts.
The normal shift includes a scheduled 30 minute break.
The employees experience 60 minutes of unscheduled downtime.
Scheduled Time = 960 min − 60 min break = 900 Min
Available Time = 900 min Scheduled − 120 min Unscheduled Downtime = 780 Min
Availability = 780 Avail Min / 900 Scheduled Min = 86.67%
Source:
When employees cannot perform their work within standard times, performance can suffer. Effective training can increase performance by improving the skills that directly impact the quality of output. A skilled operator knows how to measure work, understands the impacts of variability, and knows to stop production for corrective actions when quality falls below specified limits. Accurately measuring this metric with OLE can pinpoint performance improvement opportunities down to the individual level.
Calculation: Performance = Actual output of the operators / the expected output (or labor standard)
Example:
Two employees (workforce) are scheduled to work an 8-hour (480 minute) shift with a 30-minute scheduled break.
Available Time = 960 min − 60 min break − 120 min Unscheduled Downtime = 780 Min
The Standard Rate for the part being produced is 60 Units/Hour or 1 Minute/Unit
The Workforce produces 700 Total Units during the shift.
Time to Produce Parts = 700 Units * 1 Minutes/Unit = 700 Minutes
Performance = 700 minutes / 780 minutes = 89.74 %