Exploit the Interdependence of the Measures
No longer would one measure be unknowingly
sub-optimized at the expense of another. By placing all five
measures on one sheet, it was possible to see the full effects of
operations decisions and process changes, and thereby enable them
to become better in the future. If, for example, a traditional
trade-off based solution was used to improve delivery and cycle
solely by expediting and working overtime, then a corresponding
erosion of quality and cost performance would likely be observed.
If, however, a process improvement approach was employed that
removed queues and non-value-added activities, simultaneous
increases in the performance of multiple measures would be
observed rather than the usual degradation in some of the others.
The term "balanced" was chosen to describe this
phenomenon—that each measure either affects or is affected by
the other measures.
They Are Additive
Except for the cycle times that are not on the
critical path and the delivery measure, the sum of the parts would
equal the whole. This bottoms-up approach permitted the inclusion
of items not contained in the existing summary reports and
afforded an audit trail capability. It also advanced the guideline
that anomalous data should not be excluded, but rather it should
be explained.
Present the Information to Stimulate Action
Trend lines of actual and planned performance would be
displayed on the graphs. If prior performance was lacking, this
would focus improvement efforts on the convergence of the two
lines. Even if the actual trend was better than the
planned trend, the expectations for continuous improvement would
require that the slope be maintained with still further process
enhancements.
Measures at Various Levels
Besides the criteria just discussed, there were
two user requirements that remained: provide an answer to
"where is improvement needed most?" and provide all
the process owners (from vice president to first line supervisor)
with their own measures. The team concluded that by creating
measures at several levels, both of these requirements could be
satisfied. It was reasoned that a measure at one level could also
serve as a diagnostic for the measure at the next higher level.
This insight caused a search for a common base
upon which to build all the levels. Through an initial analysis,
however, it was learned with disappointment that Quality and Cost
had been based on department, Inventory on stocking location, and
Cycle/Delivery on a scheduling convention taken from the master
plan. The team decided to construct a matrix that contained all
the known feasible bases, and then use it to determine if any
possessed a one-to-one correspondence with each of the five
measures. The exercise revealed that only the Production Routings
met the test; so the measures were uniformly redefined to this new
singular base.
The rollup to successively higher levels was
accomplished largely with the aid of the Bill of Material (BOM).
The Production Routings (level D) summarized into Assemblies
(level C), then into Work Centers (level B), and finally into the
flyaway Aircraft (level A).
The choice of the BOM was also fortunate because the
management hierarchy tended to mirror this framework. It was
speculated that measures at a given level could be shared by the
two adjacent management layers, which might facilitate coaching
sessions during their joint reviews.
To be Continued
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