Statistical Process Control (SPC)​

Variations are common in nature and in industries. Customers abhor too much variability, in fact, the ability of a provider to predictably deliver uniform products and services is an indication of good quality. However, customers have accepted variations to be a fact of life so tolerances have been put in place. Processes can be controlled so that the resulting product or service doesn’t violate the customers’ tolerable measures. Statistical process control is an initiative to establish measure, monitor and control process performance (variability included) through the application of statistics. It attempts to detect abnormalities early enough in order to eliminate assignable causes that result in product defects. Completion of course earns the participant 20 points credit for Kaizen-6 Sigma Green Belt and Black Belt Certification.

Objectives:

By the end of the webinar, a successful participant will be able to: 

  1. Explain the basic concepts & principles of statistics, probability, variation, measurements & control, such these can relate to their work situations;
  2. Elucidate on the basic principles behind statistical process control and process capability studies;
  3. Interpret quality reports and apply statistical tools and techniques in solving quality and design issues; and
  4. Develop statistical tools applicable to his/her company.

Agenda

  1. Fundamentals of Quality Control
  2. Basic Statistics
  3. Concepts & Theories of Probability
  4. Theory of Variation
  5. The Concept of Measurement
  6. Acceptance Sampling
  7. Mil Std 105-E
  8. Sampling
  9. Histogram
  10. The Normal Curve
  11. Control Charts
  12. Process Capabilities & Tolerances
  13. SPC Management
  14. Introduction to Six Sigma Quality
  15. Problems & Cases

Who should attend:

Prospective Kaizen-Sigma Green and Black Belts, Managers, Supervisors, Foremen, & Staff in Production; QA/QC; Industrial Engineering, R & D, Kaizen Teams, Maintenance & Engineering, & Training Departments

Note: This seminar is offered face-to-face, in-house or in-plant exclusive runs only. Should you be interested contact us at +639773731180 or email us at kaizen.system@yahoo.com; jsv@kaizenmgtsys.com.