2020 - 6-Hour Virtual Seminar on Statistical Process Control & Process Capability

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 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
Agenda
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
Traditional Control Charts for Monitoring Attributes