Webinar on Calibrating the Human Gage: Attribute Agreement Analysis

Overview: 

Defining Attribute Agreement Analysis (AAA): A review of basic AAA analysis. Will cover the 3 basic types of agreements: Agreement with oneself, Agreement to a peer, Agreement to the standard. Both the "Statistical AAA" and the Kappa value will be reviewed. Confidence levels for the result bands will also be reviewed. Incorporation of AAA into the Control Plan and frequency of "calibration" will be reviewed.

How It Works: Session attendees will observe the step by step actions taken to undergo an AAA and its iterative results. A review of the 3 basic types of agreements will be conducted. 

Benefits of the Calibrated Human: There are multiple benefits when calibrating the human operator. A pros/cons review will be held discussing the general benefits of reductions in arguments (what is good or not) internal/ external rework, returns, premium freight, etc. 

Why should you Attend: 

Humans CAN BE calibrated. Control plans call out for "MSA" analysis on key processes. Inevitably, these mainly focus on features measured by variables gaging systems. However, MSA analysis should also be applied to processes are attribute-based and are inspected visually and/or via methods where gaging/tools aren’t used (largely due to the need for cost savings or efficiency). 

Some examples are the interpretation of color, grey scale analysis, glossiness, chips/dings, surface imperfections like scratches or pinholes and voids, paint coverage, etc. Many businesses rely upon the skills of their personnel to interpret these go/no go attribute features. When personnel do not repeatedly and accurately disposition the product they evaluate, several different types of business losses can be incurred including loss of time via arguments, over and/or under rejecting of product with associated losses, unplanned premium freight, etc. 

This session enables participants to learn how to develop, create, execute and interpret an Attribute Agreement Analysis (AAA) so that an accurate and repeatable disposition can be made and rework and returns can be effectively reduced. An AAA is an "MSA for attributes." Auditing professionals need to understand the effectiveness of these methods when used by their clientele and/or in their own organization. Attendees will see how they can apply this tool while learning how to mitigate business cost exposure. 

Areas Covered in the Session:

• To help people understand how AAA can be effectively utilized for mitigating business loss.
• Increased understanding of how to actually perform the analysis.
• Build confidence in the ability to calibrate a human operator

Who Will Benefit:

• Quality and Engineering system practitioners
• Engineers
• Directors, Managers
• Analysts

Speaker Profile:

Jd Marhevko has served as Vice President of Quality and Lean for Accuride Corporation since April 2012, having joined the company as Vice President, Quality in January 2012. She has been involved in Operations and Quality/Lean/Six Sigma efforts across a variety of industries for more than 25 years. Extensively experienced in developing cost-effective and value-added quality and lean systems enterprise-wide, Marhevko has an impressive track record of success in aligning goals to drive process improvement and productivity. 

Marhevko came to Accuride Corp. from Global Productivity Solutions and JQLC, Inc., where she served as Business Excellence Consultant. She previously held quality, performance and operations positions at SPX Test & Measurement, Eaton Global-Hose Division, Cincinnati Milacron, Cherry Automotive, and Robert Bosch Corporation. Marhevko is an American Society of Quality (ASQ) Fellow, ASQ Certified Six Sigma Black Belt (CSSBB), ASQ Certified Quality Engineer (CQE), ASQ Certified Manager of Quality/Organizational Excellence (CMQ/OE), an ASQ Certified Trainer for a variety of Quality Tools including Hoshin Kanri and Strategic Planning. She is the Immediate Past-Chair of the ASQ Quality Management Division (QMD) which has more than 23,000 global members.