Virtual: Introduction to Problem Solving/ Systematic Root Cause Analysis

Course Overview
For decades, managers, executives, consultants, and academicians have been searching for an effective (if not foolproof) approach to solving problems. Kepner, Tregoe and others developed intuitive techniques so that problems and solutions could be treated and tested more efficiently. Shewhart, Ishikawa, Chambers and others pursued statistical approaches to analyzing process problems and their causes. Although both strategies have merits, the search nonetheless continues. This intensive one-day virtual workshop (split into two four-hour sessions) is designed to move beyond past and current techniques for solving problems and beyond basic root cause analysis to present an advanced, systematic process for solving problems. It does so by connecting a structured, systematic approach to root cause analysis to a statistical understanding of work processes (theory of variation).

Learning Objectives
In this virtual and interactive seminar, you will learn how to solve future problems by applying a structured methodology that will yield faster and more effective solutions. The program provides opportunities to practice and apply the technique to case studies and participants’ on-job problems.

Outline

  • Common Pitfalls in Problem Solving
  • Systematic Root Cause Analysis
  • The Missing Ingredient: Knowledge of Theory of Variation
  • Common Cause versus Special Cause Variation
  • Differentiating Between Symptoms and Real Problems
  • 8 Discipline (8D) Problem Solving Overview
  • Case Studies and On-Job Applications

Who Should Attend?
Managers, engineers, scientists, and other professionals involved in their organizations’ process improvement efforts. Others interested in improving their problem-solving skills and corrective action processes. This workshop is most beneficial when a team from your organization attends together.

Course instructor: James F. Leonard – Senior Consultant, Process Improvement and Statistical Methods


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