If you are not using statistical process control (SPC) for measuring and controlling quality during manufacturing, chances are you are leaving profits on the table. Scatter diagrams, histograms, check sheets, and cause-and-effect diagrams may have gotten you by until now, but the industry is changing, and you need to keep up if you want to stay competitive. SPC uses product or process measurements to assess the stability of the process, critical to ensuring high levels of quality.
Steven Wachs has more than 25 years of experience at the intersection of statistical methods and quality control. Join him in this live webinar as he explains SPC and how progressive manufacturers utilize control charts to "listen" to their processes so that potentially harmful changes can be quickly detected and fixed. While the concept of SPC is simple enough, not all SPC programs are created equally. Wachs will explain how to implement a highly effective SPC program that combines technical competencies, uses the appropriate charts, and implements reaction plans. It's what you need to put your company ahead of the competition.
This live webinar will introduce you to statistical process control, help you understand variation and basic statistics, introduce key terminology and concepts, compare SPC to traditional quality control methods, explain effective sampling strategies and proper sample sizes, explain process capability assessments, and what sorts of benefits you can realize. You'll leave knowing how effectively apply SPC to prevent quality problems, improve efficiency, and maximize profitability.
The first session reviews the overall purpose of SPC and covers important terminology and key concepts for understanding the tool. The use of traditional control charting methods is introduced (e.g., X Bar-R/S charts, I-MR charts). This includes chart construction and chart interpretation in order to identify evidence of process instability.
Delve into traditional sampling strategies and potential deviations from the traditional approach. You will learn the importance of identifying adequate sample sizes and be presented with approaches for estimating process capability once stability is achieved. Methods for normal and non-normal data are discussed and specialized control charts are presented for situations when traditional control charts are not appropriate.
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 to estimate and reduce warranty. In addition to providing consulting services, Steve regularly conducts workshops in industrial statistical methods for companies worldwide.More Info