The success of these techniques for identifying root causes of problems greatly depends on availability of very accurate data and information. These techniques will easily crack simple customer problems like the restaurant complaint about late filling of order mentioned earlier. Anyone with a Lean Six Sigma Green Belt or black belt can easily solve these types of problems using the right tools. Like the professional techniques in group A, specialized training is also required to effectively execute these root cause analysis tools and techniques. Techniques in these groups are applied to solve complex problems that Group A techniques cannot handle.<\/p>\n

Group C Problem Solving Techniques<\/h3>\n

\n
• Statistical Hypothesis Testing<\/li>\n
• 3D and Multi-stratification-level graphing<\/li>\n
• Multiple Variable Regression<\/li>\n
• Simple Regression Analysis<\/li>\n
• Artificial Intelligence<\/li>\n
• Neural Networks and DOEs<\/li>\n<\/ul>\n

  From a glance, these are obviously complex techniques that require more accurate data about the problem to be analysed. The analysis will be carried out with specific software to make the problem solving technique successful. These tools could be used to evaluate production default problems within an organisation. To use these root cause analysis techniques and tools, the solver must possess certain skills that would only be possessed by Lean Six Sigma Black and Master Black Belts and other highly qualified professionals. These techniques are the last resort when effort from other techniques fails to identify the true root cause and solve the problem.<\/p>\n<\/div>

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