disseminating rewards should be based upon merit. Measuring such
merit can be done in a number of ways. In manufacturing,
engineering and production, results measurements are outcomes of
actions; that is, overall production efficiency and reliability
are measured against manufacturing costs. Action measurements
include mean distance between failure (MDBF), days worked without
injury or safety issues, and other manufacturing standards.
Measure what is important to the company.
Joint Reward System
similar or dissimilar departments in terms of teamwork can help
elevate productivity. Once several work groups realize that the
job one does affects the other, or the job that is missed affects
the otherís deadline, employees will begin to take more direct
ownership of the task at hand and feel more compelled to produce.
Connecting a reward system between or among work groups or teams
will allow employees to help management achieve goals. The last
thing an employee wants is to be in a failing team that is causing
other teams to come down on them. If a reward is linked to project
accomplishment directly, a reward system among teams should work.
But, as with any strategy, it must be executed properly,
communicated effectively, sustained and operated consistently.
With a reward system, employees are more likely to enjoy seeing a
project or task reach fruition more so than just for the sake of
how certain rewards have worked for them and their employees. In
the best of times, there will always be negative viewpoints and
input. Though the comments might come from a bittersweet
relationship with the supervisor or company, it is still important
to listen to what employees state. Valuable feedback for future
rewards can be obtained by running the rewards system through a
quality assurance check, and positive changes can occur even from
Use Your Results
is employed to measure productivity in selecting rewards, it is
important to remember to use the information for future purposes.
Setting records and precedents does no company any good if data
are not evaluated, researched against industry standards,
discussed, and referred to for future planning.