Statistical Process Control (SPC) for Supervisors

GRC

Beginner

16 Hours

Online

To Be Announced

Zoom meeting

Statistical Process Control (SPC) for Supervisors is a practical training program designed to equip supervisors with the knowledge and skills to monitor, analyze, and improve process performance using statistical quality control techniques. Participants will learn how to interpret process variation, construct and analyze control charts, identify special causes of variation, and apply acceptance sampling methods to improve product and service quality. The program combines statistical concepts with real-world applications, enabling supervisors to make data-driven decisions that reduce defects, improve consistency, and enhance operational excellence.

Statistical Process Control (SPC) for Supervisors is a practical training program designed to equip supervisors with the knowledge and skills to monitor, analyze, and improve process performance using statistical quality control techniques. Participants will learn how to interpret process variation, construct and analyze control charts, identify special causes of variation, and apply acceptance sampling methods to improve product and service quality. The program combines statistical concepts with real-world applications, enabling supervisors to make data-driven decisions that reduce defects, improve consistency, and enhance operational excellence.

Who should join this program?

Why should you join this program?

Manufacturing Automotive Electronics Pharmaceutical Food & Beverage Packaging Chemical Processing Logistics & Warehousing Healthcare Service Operations

What you will get?

Training Materials | SPC Workbook | Control Chart Templates | Excel Practice Files | Certificate of Completion

What will you learn?

Understand the principles and objectives of Statistical Process Control (SPC).
Differentiate between common-cause variation and special-cause variation.
Interpret process variation and its impact on product and service quality.
Apply statistical thinking to monitor and improve operational processes.
Construct and analyze variable control charts and attribute control charts.
Calculate and interpret Upper Control Limits (UCL), Lower Control Limits (LCL), and Center Lines (CL).
Use P-Charts to monitor defect proportions in production and service processes.
Use C-Charts to monitor the number of defects within a process.
Identify out-of-control conditions and recognize process instability.
Investigate root causes of process variation and quality problems.
Implement corrective and preventive actions based on SPC findings.
Understand the concepts of Acceptance Sampling and MIL-STD 105E.
Determine appropriate sample sizes and acceptance criteria using AQL standards.
Apply Accept/Reject decision rules to incoming, in-process, and final inspections.
Improve process capability, product quality, and operational consistency through data-driven quality management practices.

You Will Learn From Expert Instructor

Ir. Yanto Sidik Pratiknyo, MA, DiplCoop, CMI, CHRS

Senior Management Consultant, Quality Management Trainer, and Process Improvement Specialist

Ir. Yanto Sidik Pratiknyo is an experienced management consultant and trainer specializing in quality management systems, operational excellence, process improvement, and business performance enhancement. He has extensive experience in manufacturing operations, statistical quality control, leadership development, and organizational improvement initiatives. Throughout his career, he has helped organizations implement quality systems, improve process capability, and strengthen data-driven decision-making practices.