Ten Keys for Maximizing the Benefits of your SPC Program

Duration 75 Mins
Level Intermediate
Webinar ID IQW15C6517

  • The Purpose of SPC
  • Identifying Key Characteristics
  • Validating Measurement Systems
  • Selecting the Right Chart
  • Control Limits and Specification Limits
  • Effective Sampling Strategies
  • Adequate Sample Sizes
  • Automating SPC (Real Time)
  • Empowering Operators
  • Driving Process Improvement

Overview of the webinar

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 identifies and describes ten keys that unleash the power of SPC. 

 

Who should attend?

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

Why should you attend?

Companies who leverage SPC effectively are more efficient, profitable, and successful over the long term.  They also minimize risk due to unforeseen process changes that can lead to poor quality, unhappy customers, and litigation risk.  
Effective SPC implementation moves companies away from daily firefighting and frees up time for value-added activities.
This webinar highlights some essential aspects of deploying an effective SPC program. 

Faculty - Mr.Steven Wachs

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.
 
Education:
M.A., Applied Statistics, University of Michigan, 2002
M.B.A, Katz Graduate School of Business, University of Pittsburgh, 1992
B.S., Mechanical Engineering, University of Michigan, 1986

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