COURSE OVERVIEW:

Statistical Process Control (SPC) is a critical methodology used to monitor and control a process by using statistical methods. This course teaches participants how to shift from reactive inspection to proactive process management, ensuring that production remains stable and predictable. By understanding the difference between common cause and special cause variation, organizations can significantly reduce waste and prevent the production of nonconforming items.

The scope of this training involves the practical application of control charts for both variable and attribute data. Attendees will learn how to set up charts, calculate control limits, and interpret "out of control" signals according to Western Electric or Nelson rules. The curriculum emphasizes the calculation and interpretation of process capability indices (Cp and Cpk), which determine whether a process is capable of meeting customer specifications in the long term.

Coverage includes the selection of the correct chart type (X-bar R, I-MR, p-charts, etc.) based on the nature of the data and the sampling strategy. Participants will explore the use of SPC in modern digital manufacturing environments and how to integrate statistical monitoring into a Quality Management System. By the end of this course, attendees will be able to utilize data to drive data-driven decision-making, optimize process settings, and demonstrate high levels of quality assurance to customers.

COURSE OBJECTIVES:

After completion of this course, the participants will be able to:

• Define the principles and benefits of Statistical Process Control.
• Differentiate between Common Cause and Special Cause Variation.
• Select the appropriate Control Chart for different types of data.
• Construct and interpret X-bar and Range (R) Charts.
• Utilize Individual and Moving Range (I-MR) Charts for small batches.
• Create and analyze Attribute Charts (p, np, c, and u-charts).
• Calculate and interpret Control Limits vs. Specification Limits.
• Apply Western Electric Rules to identify process instability.
• Perform Process Capability Studies to calculate Cp and Cpk.
• Understand the requirements for Process Performance (Pp and Ppk).
• Use SPC data to identify opportunities for process improvement.
• Implement a robust SPC monitoring plan in a production environment.

TARGET AUDIENCE:

Production Engineers, Quality Control Technicians, Shop Floor Supervisors, Six Sigma Green Belts, and Manufacturing Managers.

TRAINING COURSE METHODOLOGY:

A highly interactive combination of lectures, discussion sessions, and case studies will be employed to maximize the transfer of information, knowledge, and experience. The course will be intensive, practical, and highly interactive. The sessions will start by raising the most relevant questions and motivating everybody to find the right answers. The attendants will also be encouraged to raise more of their questions and to share in developing the right answers using their analysis and experience. There will also be some indoor experiential activities to enhance the learning experience. Course material will be provided in PowerPoint, with necessary animations, learning videos, and general discussions.

The course participants shall be evaluated before, during, and at the end of the course.

COURSE CERTIFICATE:

National Consultant Centre for Training LLC (NCC) will issue an Attendance Certificate to all participants completing a minimum of 80% of the total attendance time requirement.