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    NETZEALOUS -MENTORHEALTH 2016 - Seminar on Fundamentals of Statistical Process Control: Implementation and Assurance of SPC at SFO, CA

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    Website http://www.mentorhealth.com/control/globalseminars/~product_id=200068SEMINAR | Want to Edit it Edit Freely

    Category Healthcare compliance training provider

    Deadline: June 02, 2016 | Date: June 02, 2016-June 03, 2016

    Venue/Country: SFO, CA, U.S.A

    Updated: 2016-05-26 18:13:53 (GMT+9)

    Call For Papers - CFP

    Course "Fundamentals of Statistical Process Control: Implementation and Assurance of SPC" has been pre-approved by RAPS as eligible for up to 12 credits towards a participant's RAC recertification upon full completion.

    Overview:

    This 2-day seminar provides the information you need to use one of the most powerful tools in quality, statistical process control. It will help people in design, quality, and production understand the concepts and effectively implement them. The examples and issues in the seminar come primarily from the medical device industry, but the material is applicable to any production environment.

    Production process must be controlled to help ensure they are stable. While there are many control methods, the most powerful and often used is statistical process control, SPC. It uses data from the process itself to detect changes - changes that could result from an unstable process. SPC helps determine if a process continues to operate the way it was set up. If not, SPC produces a signal that calls attention to the problem.

    One very important application is process capability analysis. With a stable process, SPC data can help determine if the process is capable of meeting the product specifications. These are often expressed as process capability indices.

    Continuous improvement programs can use the information generated by SPC to monitor process variation and identify its causes. These methods can reduce cost, improve product, and enhance customer satisfaction.

    Why should you attend:

    Manufacturing companies, especially medical device manufacturers, must control process. Not only is this a regulatory requirement, but is a good business practice. Without a solid understanding of SPC, you put yourself and your company at a disadvantage.

    On a personal basis, the material in this seminar will help improve your skills; it aligns with the ASQ Body of Knowledge for the Certified Quality Engineer, Green Belt, and Black Belt. These are areas you should master. On a company level, SPC has become an expected methodology to control processes. Without it, your company could be left behind.

    This seminar provides a practical approach to understanding and implementing SPC. It provides the tools you need, presents an explanation of how to use them, and offers practice through exercises.

    Areas Covered in the Session:

    The regulatory environment for manufacturers including FDA QSR, ISO 13485:2003, ISO 9001:2008, and ISO 9001:2015.

    The concepts of production process control

    Statistical theory including statistical distributions and decision making

    Implementing statistical process control

    Determining process capability

    Who will benefit:

    Quality Managers and Supervisors

    Quality Engineers

    QA/QC Technicians

    Production Managers and Supervisors

    Process Engineers

    Manufacturing Engineers

    Manufacturing Technicians

    Design Managers and Supervisors

    Design Engineers

    Design Technicians

    Agenda:

    Day One

    Lecture 1:

    The Regulatory Structure

    FDA QSR

    ISO 13485:2003

    ISO 9001:2008

    ISO 9001:2015

    Statistical standards

    Lecture 2:

    Characterizing Processes

    Process definitions

    Distinguishing process from product

    Product specifications

    Developing a process map

    Control and disposition of nonconforming product

    Lecture 3:

    Statistical Basis for SPC

    Statistical Distributions

    Control Limits

    Sample Size and Frequency

    Rational Subgroups

    Pattern Analysis and Signal Generation

    Assignable Causes

    Lecture 4:

    Control Charts for Variables

    X-bar and R Charts

    X-bar and s Charts

    I and MR charts

    Operating Characteristic Curves

    Implementation Issues

    Day Two

    Lecture 1:

    Control Charts for Attributes

    Fraction Nonconforming Charts

    Nonconformities Charts

    Operating Characteristic Curves

    Implementation Issues

    Lecture 2:

    Other Charts

    CUSUM Charts

    EWMA Charts

    Implementation Issues

    Lecture 3:

    Other Techniques

    Short Production Runs

    Pre-control

    Lecture 4:

    Process Capability Analysis

    Process Capability Indices Cp and Cpk

    Process Performance Indices, Pp and Ppk

    Other indices

    Speaker:

    Dan O'Leary

    President, Ombu Enterprises

    Dan O'Leary is the President of Ombu Enterprises, LLC, a company offering training and execution in Operational Excellence, focused on analytic skills and a systems approach to operations management. Dan has more than 30 years experience in quality, operations, and program management in regulated industries including aviation, defense, medical devices, and clinical labs. He has a Masters Degree in Mathematics; is an ASQ certified Biomedical Auditor, Quality Auditor, Quality Engineer, Reliability Engineer, and Six Sigma Black Belt; and is certified by APICS in Resource Management.

    Location: SFO, CA Date: June 2nd & 3rd, 2016 and Time: 9:00 AM to 6:00 PM

    Venue: DoubleTree by Hilton Hotel San Francisco Airport 835 Airport Blvd., Burlingame CA 94010-9949

    Price Details: $1,495.00 (Seminar Fee for One Delegate)

    Quick Contact:

    NetZealous DBA as MentorHealth

    Phone: 1-800-385-1607

    Email: supportatmentorhealth.com

    Website: http://www.mentorhealth.com/

    Registration Link - http://www.mentorhealth.com/control/globalseminars/~product_id=200068SEMINAR

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    Keywords: Accepted papers list. Acceptance Rate. EI Compendex. Engineering Index. ISTP index. ISI index. Impact Factor.
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