Quality of their products by Statistical Process Control - 2017

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Category Statistical Process Control, manufacturing engineering, manufacturing engineering and technology, Compliance trainings, process productions, quality assurance on statistics control, high quality products, manufacturing engineering jobs

Deadline: April 03, 2017 | Date: April 04, 2017

Venue/Country: Fremont, U.S.A

Updated: 2017-02-24 18:45:35 (GMT+9)

Call For Papers - CFP

This webinar will be focusing on statistical process control as companies want to improve the quality of their products and to improve product quality need to be structured in such a way that they have a reasonable chance of success.

Why should you attend:

All companies want to improve the quality of their products. Attempts to improve product quality need to be structured in such a way that they have a reasonable chance of success and the cost/benefit ratio is appropriate. The most successful method available for such endeavors is called SPC (statistical process control).

Areas Covered in the Session:

Definition of relevant terms

Types of control charts

Calculation of control limits for an XbarR chart

Rules for detecting "out of control"

Sampling

Process Capability Indices (Cp, Cpk, Pp, Ppk)

SPC Program implementation

Who Will Benefit:

QA/QC Supervisor

Process Engineer

Manufacturing Engineer

QC/QC Technician

Manufacturing Technician

Speaker Profile:

John N. Zorich has spent 35 years in the medical device manufacturing industry; the first 20 years were as a "regular" employee in the areas of R&D, Manufacturing, QA/QC, and Regulatory; the last 15 years were as consultant in the areas of QA/QC and Statistics. His consulting clients in the area of statistics have included numerous start-ups as well as large corporations such as Boston Scientific, Novellus, and Siemens Medical.

Contact Detail:

Compliance4All DBA NetZealous,

Phone: +1-800-447-9407

Email: supportcompliance4All.com