Employee Productivity & Efficiency Calculations
by Jason Gillikin, Demand Media
Employee productivity and efficiency calculations can be a driver for expense reductions.
For many businesses, including most
small businesses, the most significant cost is labor. Salaries and wages
comprise the major line-item expense for most retail and small-scale
manufacturing companies, but labor also tends to be responsive to productivity
improvements. To reduce labor costs, entrepreneurs should consider measuring
employee efficiency and setting aggressive performance targets to get the most
bang for their labor buck.
Measuring Productivity
Productivity is simply the amount of
units of a product or service that an employee handles in a defined time frame.
An employee who makes widgets might make 20 widgets per hour, or an employee at
a coffee shop might service 15 customers per hour. Simple productivity is
neither good nor bad, and in service industries, it might vary according to
factors beyond the employee's control, like the number of customers who present
for service. Productivity is the basic measure of employee work output.
Determining Unit of Service
Productivity and efficiency require a
defined unit of service. UOS analysis is usually job-specific, and is most
relevant to employees who have jobs that are repetitive. For example, a spot
welder might have "welds completed" or "parts completed" as
his UOS, whereas a housekeeper in a hotel might have "rooms cleaned per
shift" as her UOS. Some jobs, particularly professional jobs that have
variable output, defy reasonable UOS measurements.
Measuring Efficiency
Efficiency is a ratio of an employee's
actual time to perform each UOS against the theoretical time needed to complete
it. For example, an employee who packages DVDs might put together 80 DVDs in
one hour. If the best-practice target is 100 DVDs in an hour--measured by a
time study--then the employee is 80 percent effective and has the capacity to
produce 20 more units per hour.
It is usually helpful to report
separately the percentage of an employee's paid time that is actually spent
performing direct work. For example, an employee who is paid for working 8.0
hours but because of meetings and lunch breaks only works 6.0 hours only spends
75 percent of her time being "productive" in terms of UOS analysis.
Only the six hours spent working should be factored into efficiency scoring.
Benchmarks And Targets
Some industries have basic benchmarks
already established. For example, telephone call centers have service levels
that identify the ideal amount of time that common transactions should take,
that are consistent across industries. However, most companies will have to
establish for themselves how long basic tasks should take, and set performance
targets accordingly. The task of baseline measuring should be done with a time
study, which averages the amount of time that multiple transactions take or
assesses the amount of time an average employee performs the task.
It may not be ideal to require
employees to be 100 percent efficient, particularly when the employees lack
control over their own productivity--like in customer-service jobs when
employees wait for customers to call or stop by. If an employee can never hit
100 percent, then morale may suffer.
Longitudinal Reporting
The real benefit to measuring employee
efficiency is in longitudinal reporting. Calculating efficiency over a period
of time can identify opportunities to reorganize staffing, or add or remove
employees based on the company's volume of business, and an individual
employee's long-term productivity can factor into merit increases and bonuses.
Efficiency scoring can also help with predictive modeling. If it takes 90
seconds to produce a widget, and employees are operating at 75 percent
efficiency, then instead of producing 40 widgets per hour, only 30 will be
produced.
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