Why should we Measure Productivity?
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Why should we Measure Productivity?
In this issue we delve
into the measurement of productivity and the importance of measuring
productivity by organisations. We interrogate the critical role productivity
measurement plays especially in relation to productivity improvement within
companies. Whilst there are a number of performance indicators which can be
used to evaluate a business such as profitability, return on capital employed
and gearing ratio among others, productivity remains the most useful indicator
particularly in determining the long run growth path of any company.
There are various ways in
which productivity is measured within organisations and these may be partial,
multifactor or total factor productivity. Partial or single factor productivity
is where output is expressed as a ratio of one input factor. These inputs can
be labour, capital and materials. A
simple illustration for single resource productivity is given in the diagram
below.
Figure 1.0 Single Resource Productivity Measurement.
For multifactor
productivity measurement, it is combination of at least 2 factors being
measured against the corresponding output realised. If the multifactor
constitutes all the factors used in producing output, then it will be called
total factor productivity. Figure below illustrates the basic measurement of
total factor productivity.
Figure 2.0: Total Factor Productivity Measurement
The choice of the measurement criteria is
usually determined by the feasibility of accurate measurement of the inputs
employed. Total factor productivity turns to be more accurate when compared to
partial factor productivity in case where both factors are employed in similar
proportions. This is because total factor productivity takes into account all the
factors of production unlike partial factor productivity which attributes one
factor to the total output. However for industries which are intensive in one
factor, such as the construction sector which is labour intensive, partial
factor productivity may be equally useful.
The productivity figures calculated
for a single period may intrinsically exhibit little value to the users. The
single period productivity figures only assist in production planning as the
production manager will be able to deduce how much on average each factor input
produces in terms of output. For example, if 1 employee produces 3 pairs of
shoes per day, the planners will be able to know the exact amount of workers
needed if they are to produce say 12 pairs in a single day, in this case 4
workers.
However the single period
productivity figure will be more useful if compared with other periods
productivity figures. When compared on a like-for-like basis to those of the
previous period(s), a general trend depicting a decline, an increase, a
constant or an oscillating growth in productivity can be observed. It is
therefore imperative to ensure that there is consistence in measurement so as
to allow for effective period to period comparisons. Necessary strategies can
then be taken in relation to the trend which will be prevailing.
In making period to period
comparisons, there is need to account for inflation especially when the
incremental rates of both output price and input price indices are inconsistent.
In inflationary environments, productivity figures may vary in nominal terms
though no change will be realised in real terms and this turns to be
misleading. There is therefore need to deflate nominal figures so as to
eliminate the effects of price changes from the real input and output figures.
For productivity
practitioners, the thrust is to continuously increase the level of productivity
from one period to the other, a process also known as ‘kaizen’. Before one aims to improve productivity, there is need to
ascertain the current prevailing levels of productivity. Understanding the
current level of productivity serves to create a yardstick against which future
productivity results will be measured. Whether the productivity intervention
strategies will be successful or not can only be determined if the initial
conditions are recorded. Therefore productivity measurement forms the basis for
productivity management system.
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