WORKSHOP SYNOPSIS:

Statistical process control (SPC) is a well-established tool for analyzing and controlling quality. The methods of SPC, used in conjunction with the Deming philosophy of management, are a component of all effectively designed quality systems, including Six Sigma. SPC allows an organization to implement a process-oriented management focus, where understanding the random behavior of processes is the key to identifying problems and improvement opportunities. Also, SPC methods remove subjectivity from management decisions by allowing the data to drive decision-making. This workshop is designed for inspectors, engineers, and managers who have some background in basic statistics as well as those who have previously been exposed to the techniques of SPC but need help applying the methods in their contemporary businesses. While providing an overview of SPC, the workshop is also designed to expose managers to MINITAB, the statistical software used by many Six Sigma companies.

• Understand Deming’s management philosophy & the benefits of process-oriented thinking
• Learn about the nature & collection of data, and understand the importance of studying variation in outcomes over time
• Learn to design and implement SPC procedures, such as proportion (P) control charts, average (X-bar) control charts, standard deviation (S) control charts
• Learn to evaluate measurement system capability by performing R&R studies
• Develop an understanding of the “process” of SPC and how it differs from classical acceptance sampling approaches
• Learn to perform effective capability analyses and correctly apply capability indices such as Cp and Cpk
• Relate the material covered in the seminar to methodologies contained in the Six Sigma quality program
• Appreciate the potential for mis-applying SPC and other statistical methods to everyday problems in industry
• Obtain significant hands-on experience using MINITAB for SPC