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    DURING THIS LIVE RELIABILITY ENGINEERING TRAINING, 2017 - Process Reliability Modeling: Driving Organizational Success-BY AtoZ Compliance

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    Website http://bit.ly/2tDS5iB | Want to Edit it Edit Freely

    Category During this live reliability engineering training, methods for process improvement will be presented. Reserve your seat now or call +1- 844-414-1400

    Deadline: August 10, 2017 | Date: August 10, 2017

    Venue/Country: Online, U.S.A

    Updated: 2017-07-11 16:13:31 (GMT+9)

    Call For Papers - CFP

    Key Take Away:

    Process Reliability Modeling (PRM) is a very sensitive measurement instrument used to identify areas of processes contributing to loss of revenue and customer dissatisfaction. PRM was created to satisfy requirements for Doctoral degree.

    Overview:

    Process Reliability Modeling has its roots in reliability engineering. Through employee surveys qualitative information is converted to quantitative data to determine the likelihood of passing work through the entire organization. Processes with a low reliability score are flagged and Root Cause Failure Analysis methods engaged. Methods for process improvement are presented in webinar.

    Why Should You Attend:

    Traditional methods of Process Improvement demonstrate high failure rates: Business Process Reengineering (BPR) 50% to 85%, Total Quality Management (TQM) 75%, and Six Sigma 90%.

    Proactive methods such as Process Reliability Modeling (PRM) will result in processes that are effective, efficient and reliable.

    Areas Covered In This Webinar:

    Process Reliability Modeling: history, the process, validation

    Results of effective management, sigma score and customer satisfaction

    Process as competitive advantage

    Process owners

    Turning qualitative information into quantitative data to determine process and system reliability

    Plotting results on two-by-two grid for analysis

    7-S Alignment

    Root Cause Failure Analysis

    Learning Objectives:

    This reliability engineering training is useful for all the individuals who want to learn process variation countermeasures.

    Who Will Benefit:

    It would be ideal for:

    Senior executives

    Strategic leaders

    Quality Managers

    Product managers

    Manufacturing and R&D Managers

    Quality Professionals/Consultants

    Presidents/Vice Presidents/CEOs

    ISO Coordinators/Management Representatives

    Engineers and Supervisors

    Laboratory quality professionals

    Accredited auditors requiring the competency to audit Quality

    For more information, please visit : http://bit.ly/2tDS5iB

    Email: supportatatozcompliance.com

    Toll Free: +1- 844-414-1400

    Tel: +1-516-900-5509

    Speakers Profile:

    Michael Abitz

    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.

    His areas of interest include teaching online, mentoring organizations in problem solving and process improvement; to date cost savings include $15.6M in addition to $14M in sales.

    His webinar topics to Increase Customer Satisfaction and Profit include subjects like Process Reliability Modeling: Management and Cost Savings Process, Root Cause Failure Analysis: Problem Identification and Correction and Aligning Corporate Strategy, Structure and Systems: Achieve Corporate Objectives.

    Dr. Abitz's professional experiences include: Aerospace and computer industries where he developed and presented training in: Organizational Process Improvement, Six Sigma (35 classes) and Root Cause Failure Analysis to U.S. companies and Pacific Rim suppliers.

    His other interests include Amateur Radio, audio/video production and playing chess with his wife Donna.


    Keywords: Accepted papers list. Acceptance Rate. EI Compendex. Engineering Index. ISTP index. ISI index. Impact Factor.
    Disclaimer: ourGlocal is an open academical resource system, which anyone can edit or update. Usually, journal information updated by us, journal managers or others. So the information is old or wrong now. Specially, impact factor is changing every year. Even it was correct when updated, it may have been changed now. So please go to Thomson Reuters to confirm latest value about Journal impact factor.