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 you should 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 are essential to allow SPC to be implemented effectively so that the expected benefits may be realized.
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
Lecture 1 - The Purpose of SPC
Lecture 2 - Understanding Variation and Basic Statistics
Lecture 3 - Terminology and Key Concepts (e.g. Control Limits, Sources of Variation)
Lecture 4 -Traditional Control Charts for Monitoring Variables
Lecture 5 - Interpreting Charts (Signals of Special Cause Variation)
Lecture 6 - Effective Sampling Strategies/Sample Sizes
Lecture 7 - Process Capability Assessments
Lecture 8 - Traditional Control Charts for Monitoring Attributes
Steven Wachs has 25 years of wide-ranging industry experience in both technical and management positions. Steve 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.
Steve 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. Steve regularly speaks at industry conferences and provides workshops in industrial statistical methods worldwide.