statistical-process-control-seminar

OVERVIEW

Statistical Process Control charts have been called the Voice of the Process. Progressive manufacturers utilize control charts to “listen” to their processes so that potentially harmful changes will be quickly detected and rectified.

However, not all SPC programs deliver to their highest capability as there are many elements to get right to achieve maximum utility. Highly effective SPC programs combine technical competencies, such as using an appropriate chart and sample size for the application, with effective management techniques such as enabling operator buy-in and involvement. This webinar provides a comprehensive introduction to SPC methods and tools to help you deploy an effective SPC program.

WHY SHOULD YOU ATTEND?

The participants will gain a detailed understanding of Statistical Process Control. Various types of control charts and their applications will be discussed. The webinar will cover chart construction, chart interpretation, and ongoing management of the monitoring process. Methods for assessing Process Capability are also covered including the handling of non-normal data. Modern manufacturing processes often need specialized charting techniques and some of these will be introduced. An understanding of the concepts and methods in this webinar is essential to allow SPC to be implemented effectively so that the expected benefits may be realized.

LEARNING OBJECTIVES

The objective of the course is to provide participants with the analytical tools and methods necessary to:

Understand the importance of reducing variation
Implement control charting in order to assess process stability
Interpret control chart signals and implement appropriate reaction plans
Determine appropriate sampling plans and sample sizes
Assess process capability
Determine the appropriate type of chart for a given process
Avoid common misapplications of SPC in practice

AREAS COVERED

This program will cover the following topics:

The Purpose of SPC
Understanding Variation and Basic Statistics
Terminology and Key Concepts (e.g. Control Limits, Sources of Variation)
Traditional Control Charts for Monitoring Variables
Interpreting Charts (Signals of Special Cause Variation)
Effective Sampling Strategies/Sample Sizes
Process Capability Assessments (PPM, Cp, Cpk, Pp, Ppk)

WHO WILL BENEFIT

The target audience includes personnel involved in process development, manufacturing, quality, program management, and business operations.

Quality & Process Engineers
Quality Technicians
SPC Supervisors
Production Supervisors
Personnel involved in process development and validation
Manufacturing/Operations Personnel
Process Improvement Personnel
Supplier Quality Personnel

Purchase options

Option	Price
Recorded Link Only	$499
Recorded USB Only	$599

*Training USB will be shipped within 7-10 working days. *Buy Now Pay Later option is available in the payment cart page.
*In case you're unable to attend the live session, we'll make sure you receive the recording promptly.
* Corprate Live: Maximum number of Attendees will be limited to 10.

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Email: [email protected]

Call: +1-855-202-3299

Steven Wachs

Vice President & Principal Statistician, Integral Concepts, Inc.

About speaker

Steven Wachs has 25 years of wide-ranging industry experience in both technical and management positions. He has worked as a statistician at Ford Motor Company where he has extensive experience in the development of statistical models, reliability analysis, designed experimentation, and statistical process control.

Mr. Wachs is currently a Principal Statistician at Integral Concepts, Inc. where he assists manufacturers in the application of statistical methods to reduce variation and improve quality and productivity. He also possesses expertise in the application of reliability methods to achieve robust and reliable products as well as estimate and reduce warranty. Mr. Wachs regularly speaks at industry conferences and provides workshops in industrial statistical methods worldwide.

He has an M.A. in Applied Statistics from the University of Michigan, an M.B.A, Katz Graduate School of Business from the University of Pittsburgh, 1992, and a B.S., Mechanical Engineering from the University of Michigan.