COURSE OVERVIEW:

The meaning of this course lies in the transition from simple data collection to the active statistical management of laboratory performance. In a high-precision testing environment, the ability to distinguish between "Random Variation" and "Assignable Causes" of error is critical for maintaining technical control. This program provides the statistical framework required to utilize Control Charts as a dynamic tool for monitoring method stability, detecting analytical drift, and ensuring the long-term reliability of laboratory results.

The scope of the training addresses the design, implementation, and interpretation of various Statistical Quality Control (SQC) tools, with a primary focus on Shewhart Control Charts (X-bar and R charts). It covers the calculation of "Control Limits" based on historical performance and the application of "Westgard Rules" to identify out-of-control conditions. Participants will explore how to integrate "Internal Quality Control" (IQC) data into the laboratory’s quality management system to prevent the reporting of inaccurate data.

The coverage includes a comprehensive investigation into "Trend Analysis," the determination of "Process Capability", and the use of "Cusum" and "EWMA" charts for detecting small systemic shifts. The course emphasizes the importance of "Data Visualization" and the development of "Corrective Action" protocols when control limits are exceeded. By mastering these statistical protocols, participants will be able to demonstrate "Technical Control" to accreditation bodies, minimize laboratory rework, and provide clients with mathematically defensible results.

COURSE OBJECTIVES:

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

• Define the core principles of Statistical Quality Control (SQC).
• Distinguish between "Common Cause" and "Special Cause" variation.
• Calculate "Mean," "Standard Deviation," and "Relative Standard Deviation."
• Construct X-bar and R (Range) Control Charts for laboratory data.
• Establish "Warning" and "Action" limits based on statistical rules.
• Interpret "Westgard Rules" to identify out-of-control situations.
• Utilize "Cusum" charts to detect small systemic analytical shifts.
• Perform "Trend Analysis" to predict potential method failures.
• Calculate "Process Capability" for analytical methods.
• Integrate SQC data into the "Management Review" process.
• Design an "Internal Quality Control" (IQC) plan for new tests.
• Document "Corrective Actions" for out-of-control laboratory events.

TARGET AUDIENCE:

This course is intended for Quality Assurance Officers, Laboratory Supervisors, Data Analysts, and Senior Technicians.

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.