This post is, once again, taken from my newest book, Theory of Constraints, Lean, and Six Sigma
Improvement Methodology – Making the Case for Integration. Specifically,
the material for this series is taken from Chapter 5 entitled, A Better Way to Measure a System’s Success.
As I explained in my last post, readers that are totally familiar with the
Theory of Constraints might find this series a bit basic, but I’m writing this
series for those who are not totally familiar with the Theory of Constraints.
TA is used to identify constraints, monitor
performance, control production, and determine the impact of decisions. The table below is a manufacturing situation
consisting of just three parts with each part requiring the same three
steps. Each product requires a different
number of minutes per step, but the total time required for each part is the
same. Labor costs per minute are the
same across all steps.
Part A has the highest price and the lowest raw
material cost per part while part C has the lowest price and highest raw
material cost per part. Because the same
workers will be used to produce any product mix, the best mix would seem to be
to produce as much of part A as demanded, then B, then C. Following this priority, the factory will
produce 100 units of A, 75 of B, and none of C.
Note that Step 2 limits enterprise production regardless of whether it’s
actually recognized as the constraint.
Operating expense includes rent, energy and labor. Let’s look at an example comparing CA to TA’s
product mix decision as laid out in the table below.
Bob Sproull
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