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Topic 4. Problem-solving matrix
The
process of homing in on the best possible solution is framed by
a series of problem-solving matrices. The columns of a matrix are
headed by the specifications, the rows by the ideas for alternative
solutions.
Alternatives
can be ranked on a simple scale of good, bad and neutral (+, - and
0) or a more sophisticated scale that gives additional weight to
the most important specifications. The best solution is the one
that garners the most points by satisfying the most specifications.
For example, an engineering team working on a town's parking and
traffic problems might brainstorm the idea for banning cars from
the downtown area. This idea would score well for reliability but
not for practicality. The best solution will score well for all
specifications.
The Purpose:
To
rank possible solutions to the design challenge.
The
Procedure:
1.
List all alternative ideas in the light column.
2. List all the important specifications in the top row.
3. Rank each idea on a simple and good, bad, neutral scale.
4. The best solution is the one that governs the most points by
satisfying the most specifications.

Problem-Solving Matrix
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