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QICID: 30291
Title: A Convergent Approach for Problem Solving
Copyright: ASQ
Author: Dao, Ha; Maxson, Bill
Organization: SSA & Company; Shainin, LLC
Subject: Problem solving; Innovation; Statistical analysis; Root cause analysis (RCA);
Series: ASQ World Conference on Quality and Improvement, Minneapolis, MN, Vol. 63, No. , May 2009, pp. 1-5
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Abstract: It has been argued that the best approach to problem solving involves powerful statistics requiring a good amount of data. After all, today’s problems are more complex and require more sophisticated techniques to solve them. Most problems solvers are engineers, and engineers work in the realm of physics and geometry. The laws of physics are not any different today than they were 50 years ago when the so-called simple problems were around. What makes today’s technical problems seem so tough is the inability of the engineer to think through the science driving the problem, and getting distracted with unnecessary statistical analysis doesn’t help them.
Instead of guessing at potential causes, engineers should use a more efficient strategy and eliminate what is not causing the problem. This paper discusses a convergent approach to problem solving with a case study illustrating how using a progressive search, quickly and efficiently, eliminated potential causes for lifted wire bonds on circuit boards.
Number of pages: 5
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