Chapter 17 – The Management and Control of Quality
analysis of both financial and nonfinancial quality indicators. Fourth, techniques from
outside of accounting (e.g., Taguchi loss functions, Six-Sigma goals, Pareto charts,
activities).
17-5 Six Sigma is an analytical method designed to achieve near-perfect results in terms
of quality. In statistics, the Greek letter sigma stands for standard deviation (i.e., a
measure of dispersion around a mean value). On a standard normal bell curve, one
sigma above and below the mean covers approximately 68% of the area. The
In terms of implementing Six Sigma, organizations typically use a DMAIC process.
In the Define stage, managers identify the underlying quality problem, establish
baseline measures and benchmarks (goals for improvement), and agree upon
measures of success.
In the Measurement stage, the Six-Sigma team studies and evaluates relevant
measurement systems to determine whether they are capable of measuring key
inputs and quality attributes (e.g., product dimensions) with the desired level of
accuracy.
In the Analysis stage, the team performs graphical and statistical analyses in order
the optimal conditions needed to operate the process.
In the final stage, Control, the team implements an on-going auditing and control
mechanism to help ensure the sustainability of the new process.
17-6 A goalpost conformance specifies quality as a range around the target (or ideal)
17-7 Taguchi argues that any variation from the exact specifications entails a cost or loss
to the firm and that this loss is a quadratic function—that is, the loss grows larger as
the variation from target, in either direction, increases.
17-2
Education.