Training Overview

Most of us desire our products and services to be reliable.

 The American Society for Quality (ASQ) defines reliability as: "The probability that a product, system, or service will perform its intended function adequately for a specified period of time, or will operate in a defined environment without failure."

 I wondered how I could apply reliability, unreliability statistics to transactional processes and what value such statistics would have in managing the organization's systems: from that thought, Process Reliability Modeling (PRM) was born, a Doctoral Dissertation published, and validated.

 Participants will learn how to use Reality-Charting, The Model for Improvement, and Process Reliability Modeling methods to improve transactional processes and financial results.

Webinar Includes : All the training handouts , certificate ,Q/A and 90 mins Live Webinar

Why Should You Attend

To learn new ways to identify problems deep within processes and make corrections to increase process reliability and improve confidence limits around each transactional process parameter. 

 Every individual contributor within an organization needs to receive: what they need, when they need it, at the level of quality required to complete their process. 

 If you are the Process Owner in your organization, can you guarantee that every individual working for you receives what they need, when they need it, at the level of quality needed? If not, then you need to attend this webinar.  

Key Learning Objectives

  • Cost Justification: What is Your Organization’s Sigma Level and Profit Loss?
  • Improvement Team Selection
  • How to Collect Process Information Without Bias
  • Introduction to Transactional Reliability Math
  • Determine Revenue Loss Per Process with Process Reliability Modeling (PRM)
  • Identify Process Root Causes with Reality Charting
  • The Model for Improvement
  • Results

Webinar Takeaway

Cost Justification: What is Your Organization’s Sigma Level and Profit Loss?

  • The Six Levels Know as 6-Sigma
  • Defects Per Million Opportunities
  • The Cost of Quality as a Percentage of Sales

Improvement Team Selection

  • Project Sponsor: Assigns the Project, Pays the Bills, Resolves Disputes, Removes Obstacles

Process Information Collection Without Bias

  • Qualitative Inquiry Approaches
  • The Super Sticky Post-it Notes Exercise
  • Avoid Data Cherry Picking 

Introduction to Transactional Reliability Math (slides 64 thru 66)                        

  • Mean Time Between Failures

Determine Revenue Loss Per Process with Process Reliability Modeling (PRM)

  • How to apply the Reliability Math to Transactional Process Reliability to Create a More Sensitive Process Measurement Instrument (slides 69 thru 76)

Identify Process Root Causes with Reality Charting: The Steps

  • Start with Primary Effect
  • Identify Areas Impacted
  • List Evidence from Post-it Exercises or Qualitative Interviews
  • Create the Reality Chart until no more “Caused By’s” are identified
  • Transition into The Model for Improvement to correct root causes

The Model for Improvement: Answer the three basic questions

  • What are we trying to accomplish?
  • How will we know change is an improvement?
  • What changes can we make that will result in improvement?

Result examples 

Who Will Benefit

  • Supervisors
  • Managers
  • Leaders
  • Lean Six Sigma Improvement Team Members
  • Corporate Accountants
  • Quality
  • Reliability Engineers, Engineering
  • MBA Students, will benefit from this webinar.

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FDA Faculty Dr. Michael Abitz

Dr. Michael Abitz 

 Professor, Consultant | Hobbs at New Mexico

Dr. Michael Abitz is an Adjunct Professor at New Mexico Jr. College, Hobbs, NM. He received his Doctorate in Management from Colorado Technical University and Master of Science in Quality Assurance from California State University. He is a certified Six Sigma Quality Black Belt.

His areas of interest include teaching online; providing training to pacific rim suppliers in accelerated life testing of communications, computer and digital storage products; mentoring organizations in problem solving and process improvement; and to date cost savings include $15.6M in addition to $14M in sales.