Statistical Process Control (SPC) refers to the use of statistical techniques to control a process, production or manufacturing method through monitoring of process behavior, as a result discovering issues related to internal systems, and allowing for corrective actions to be taken before failure occurs. The best decisions are made using facts and data. The collection and interpretation of data is equally important in manufacturing and service environments.

One major goal of this course is to enable you understand how to use SPC to prevent defects from occurring and to drive process improvement. In this course, you will learn how the process champion can utilize SPC in taking action to adjust or investigate process deviation. You will learn how to prevent inappropriate or unnecessary process errors and adjustments.

With the help of this course, you will learn the different causes of variation and what actions to take when a process is drifting out of control. This course will enable you to detect issues relating to machine wear, operator setup issues, raw material changes, and differences between similar machines that can affect the quality of your final products.

At the end of this course, you would be able to describe key concepts in SPC, different types of control charts, explain the concepts of process control, control limits and process capability. You would be able to apply different kinds of control charts for process monitoring. You would gain thorough understanding of key techniques for capturing data in quality and state the different guidelines and methods for data collection. The course contains a bonus section of statistical tools for product evaluation.

Course Objectives

By the end of this course, participants will be able to:

• Understand the principles and purpose of Statistical Process Control
• Differentiate between common cause and special cause variation
• Select and apply appropriate SPC charts for different data types
• Interpret control charts and identify process instability
• Monitor process performance and capability using statistical metrics
• Take corrective actions based on SPC analysis
• Support continuous improvement and defect prevention initiatives

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Who This Course Is For

This course is ideal for:

• Quality assurance and quality control professionals
• Manufacturing, production, and process engineers
• Operations and plant managers
• Lean Six Sigma Yellow, Green, and Black Belts
• Industrial engineers and technicians
• Continuous improvement practitioners
• Students and professionals seeking SPC certification

Learning Methodology

• Expert-led video lectures
• Step-by-step SPC chart demonstrations
• Practical examples and case studies
• Downloadable SPC templates and worksheets
• Quizzes and knowledge checks
• Online final assessment

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Certification

Participants who successfully complete the course and pass the final assessment will receive a Statistical Process Control (SPC) Certification issued by Olanab Academy, demonstrating competence in applying SPC tools for quality control and process improvement.

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Key Benefits of the Course

• Strengthens data-driven quality control skills
• Helps prevent defects and process variation
• Supports Lean Six Sigma and quality initiatives
• Improves process stability and consistency
• Applicable across manufacturing and service sectors
• 100% online, flexible, and self-paced learning

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Course Delivery

• Mode: Online (Self-Paced)
• Access: 24/7 via Olanab Academy Platform
• Assessment: Quizzes and final examination
• Certification: Digital certificate upon successful completion