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Problem Solving Using Root Cause Analysis

Problem solving using Root Cause Analysis

By ASME Minnesota Section

Date and time

Wednesday, January 12, 2022 · 4:30 - 6:15pm PST

Location

Online

Refund Policy

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About this event

Root Cause Analysis

Managers, consultants, and engineers daily come across issues related to part failures, equipment breakdowns, process breakdowns, warranty claims, and accidents. They are required to troubleshoot, and fix the problems. Most of the time they are familiar with the conventional tools extending to forensic analysis thus providing reasoning to the mechanism but it may not be the root cause of the issue.

There are still more questions than answers like what is root cause analysis (RCA), who should do it, and why it is needed when I have the technical expertise to make a decision. To be very true, though Quality Engineers use the technique of Root Cause Analysis more often, it is needs to be practiced by all professionals in their respective fields to solve the problems, and provide a sustainable solution.

Good understanding of Root Cause Analysis will take the participants beyond forensic analysis, and lab studies. It will give insight into the actual cause than the obvious symptoms, and mechanics of the issue. It will make the participants think more than closing the issues saying pump was running dry, insert got dull, “O” ring was missing, fatigue failure of bearing, or operator error. The presentation will enable the participants to apply Root Cause Analysis in their professional fields, and eliminate the actual cause than effect.

Speaker's Bio:

Babar Khan is a Consultant in Quality. He has over 21 years of extensive experience in Quality, Inspection, Design, Manufacturing, Materials, Fatigue & Fracture Analysis, and Vendor Quality Assurance. He has a Masters in Mechanical Engineering, Certified Six Sigma Black Belt, and CQE (Certified Quality Engineer) from ASQ. He has been applying quality tools including Gage R&R, Root Cause Analysis, Cause & Effect Matrix, FMEA, Design of Experiments, and Process Capability studies for troubleshooting, process improvement, and sustainability.

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