If you would like to provide ideas to help the auto industry improve its problem solving, here’s your chance.
In 2015, AIAG’s Quality 2020 survey found that OEMs and suppliers rank problem solving as the most critical issue impacting quality today. The study stated that over one-third of respondents felt there was significant potential for improvement in problem solving. In November 2015, AIAG convened a group of industry problem-solving professionals to study the survey results with the goal of identifying what improvements could be made to make problem solving more effective.
One of the team’s first steps was to survey the industry and further investigate why almost two-thirds of respondents in the Quality 2020 study felt their organizations are, at best, only moderately capable at problem solving. The purpose of the survey was to gather more precise information about the characteristics of ineffective problem solving. In particular, the Problem Solving Ad Hoc Committee wanted data to identify which step in the problem solving process is the biggest driver of ineffective problem solving.
The survey results showed that only 43 percent of respondents say their companies often or always receive correct identification of the problem. The survey also indicated that a high percentage of companies don't always receive accurate notification of problems in a timely manner, and about 50 percent say root causes and corrective actions are not always implemented in a timely manner.
Overall comments point to the need for a well-defined problem statement, more guidance on how to enhance the up-front steps of the problem-solving process, and how to close, verify, and measure effectiveness to ensure the problem is not repeated.
The AIAG Problem Solving Ad Hoc Committee has determined there is an opportunity to improve the existing CQI-20 and CQI- 21 Effective Problem Solving documents by adding guidance for the items that were identified as problematic in the survey.
If you would like to provide ideas to help the industry improve its problem solving, or be a part of the new AIAG work group, contact Karen Krutsch at email@example.com.