Statistical Process Control Concepts and Interpretation

Master Statistical Process Control (SPC) with our expert-led training program designed to enhance your skills in monitoring and improving production quality. Dive deep into essential concepts like control charts and process capability indices while gaining hands-on experience with industry-standard software tools. Enroll now to elevate your expertise in quality management.

Face-to-Face Oct 27-28, 2025 9:00 AM - 5:00 PM Tasmeea Rahman
updated
intermediate
Statistical Process Control Concepts and Interpretation
We price match

Public Pricing

MYR 12000

Corporate Pricing

Pax:

Training Fees: MYR 6500/day
Total Fees: MYR 13000 ++

Training Provider Pricing

Pax:

Training Fees: MYR 5600
Material Fees: MYR 600
Total Fees: MYR 6200

Features

2 days
14 modules
11 intakes
Full life-time access
English

Classification

Industry Specific Course
  • Tailored to specific industry needs
  • Focuses on specialized tools and techniques
  • Ensures alignment with current and future standards
  • Provides targeted, practical training
  • Verified by industry experts

Subsidies

HRDC Claimable logo

What you'll learn

  • Calculate and analyze process capability indices such as Cp, Cpk, Pp, and Ppk.
  • Implement effective SPC strategies within an organization.
  • Construct and interpret various types of control charts for variables and attributes.
  • Utilize SPC software tools for monitoring production processes.
  • Identify common versus special causes of variation in processes.
  • Understand the principles and benefits of Statistical Process Control.
  • Conduct root cause analysis for out-of-control conditions.

Why should you attend?

Statistical Process Control (SPC) is a method used to monitor and control a process through the use of statistical tools. This course begins by introducing the fundamental concepts of SPC, emphasizing its importance in maintaining quality and efficiency in production processes. Participants will learn about different data types and distributions, which are crucial for understanding how to apply SPC effectively. The course delves into the fundamentals of variation, distinguishing between common and special causes, and explores how these variations impact process stability. Through hands-on exercises, learners will gain practical experience in analyzing process stability using real-world data examples. Control charts are a central focus of this course. Participants will explore various types of control charts for both variables and attributes, such as Xbar-R, Xbar-S, XMR, p, np, c, and u charts. The course provides detailed instructions on constructing these charts using software tools like Excel or specialized SPC software. Advanced topics include rules for interpreting control chart patterns and understanding process capability indices like Cp, Cpk, Pp, and Ppk. Learners will also engage in exercises that involve calculating these indices from sample data to assess process capability accurately. Finally, the course covers strategies for successful SPC implementation within organizations. It highlights common pitfalls to avoid and provides a roadmap for deploying SPC effectively. By the end of the course, participants will have a comprehensive understanding of SPC tools and techniques necessary for ensuring high-quality production processes.

Course Syllabus

Day 1 - SPC Introduction Fundamentals
Short Break
15 mins
Short Break
15 mins
Recap and Q&A
15 mins
Lunch
1 hour
Short Break
15 mins
Short Break
15 mins
Short Break
15 mins
Recap and Q&A
15 mins
End of Day 1
Day 2 - Control Charts Variables
Short Break
15 mins
Short Break
15 mins
Recap and Q&A
15 mins
Lunch
1 hour
Short Break
15 mins
Short Break
15 mins
Short Break
15 mins
Recap and Q&A
15 mins
End of Day 2

Instructor

Loading...
Tasmeea Rahman Lecturer Teaching

Tasmeea Rahman is a highly skilled and versatile professional with a rich background in both academia and industry. Currently serving as a Freelance Corporate Trainer at Abundent in Kuala Lumpur, Malaysia, Tasmeea specializes in developing content and providing training on a wide array of subjects including Machine Learning, Data Analysis with Python, MS Excel, Power BI, Minitab, Jaspersoft, Apache Superset, TIBCO Spotfire, and various electrical and mechanical 2D/3D design tools such as AutoCAD and Autodesk Fusion 360. Her role also encompasses project management training. Previously, Tasmeea worked as an Adjunct Lecturer at Leading University in Sylhet, Bangladesh where she was involved in curriculum development and delivering engaging lectures on electrical and electronics courses. She has hands-on experience in teaching subjects like electrical circuits, VLSI design, digital signal processing, and microprocessors. Before her academic stint, she served as a Design Engineer at ALCOVE in Dhaka, Bangladesh where she was responsible for providing electrical and architectural drawings along with planning and executing projects. Tasmeea holds a Ph.D. in Project Management from Universiti Putra Malaysia with a perfect CGPA of 4.00/4.00. She also earned a Master of Engineering Management from the same university and an MBA in Marketing from the University of Dhaka. Her educational foundation is built on a Bachelor's Degree in Electrical and Electronics Engineering from United International University in Bangladesh. In addition to her formal education, Tasmeea has several certifications including Train the Trainer Certification from HRD Corp and Agile Project Management Certifications from Google via Coursera. She is proficient in multiple engineering software tools and programming languages including MATLAB, AutoCAD, C++, Assembly language, and Python. Fluent in both Bengali and English, Tasmeea is committed to continuous learning and professional development.

7 Students
83 Courses

Instructor

Loading...
Habil Hadi Mohammed Mechanical Engineer Teaching

Habil Hadi Mohammed is a highly skilled Mechanical Engineer with a robust academic and professional background, currently pursuing a PhD in Biomedical Engineering at Universiti Putra Malaysia (UPM). His research focuses on 'Additive Manufacturing,' supported by UPM funding. Prior to his doctoral studies, he completed a Master's degree in Manufacturing Systems Engineering from the same university, where he excelled with a CGPA of 3.81/4. His dissertation explored the innovative use of single-mode fibre lasers for surface polishing of FDM printed parts. Habil's academic journey began with a Bachelor's degree in Mechanical Engineering from Salahaddin University-Hawler, Erbil, where he developed an internal ballistics model for artillery gun projectiles. In addition to his academic pursuits, Habil has accumulated significant industry experience. As of January 2024, he serves as a Developer Engineer for an international company based in Switzerland. In this role, he designs and develops machines using both 3D printing and conventional manufacturing techniques such as milling and turning. He successfully built and tested prototypes using self-built 3D printers and collaborates with Micro Precision Manufacturing (MPM) to support full-scale production processes. Since 2021, Habil has also been contributing as a Research Fellow at UPM's Faculty of Engineering. His work includes software development for multi-material Functionally Graded Material (FGM) 3D printers and designing automated sports equipment in collaboration with the Department of Sport Studies. He is actively involved in developing hydroponic plant systems and object-specific 3D printers for industry partners. Before his current roles, Habil gained managerial experience as an Area Manager at COZMO Market in Sulaymaniyah from 2016 to 2018, where he oversaw multiple departments and significantly increased sales through strategic planning. He also worked as a Sales Representative for BIODERMA during this period, achieving notable sales success. Habil's technical skills are complemented by various certifications in data management, visualization, programming languages like Python and C/C++, and design tools such as AutoCAD and Fusion360. His participation in numerous webinars and conferences highlights his commitment to continuous learning and staying abreast of emerging technologies. Fluent in Kurdish, Arabic, and English, Habil is well-equipped to engage with diverse teams across global platforms.

26 Courses
English

Minimum Qualification

undergraduate

Target Audience

engineers

Methodologies

lecture
slides
case studies
labs
q&A

Instructor Reviews

review avatar
Rohit R
3 years ago
3 years ago

Tasmeea was an excellent teacher. Very pleasant, willing to assist and answer concerns, and continuously asked how she could assist more. She made the course enjoyable as well as informative.

review avatar
Sam A
3 years ago
3 years ago

Thank you so much for your invaluable guidance. I really enjoyed it and appreciated how much fun you made it! I feel much more equipped to cope with difficult challenges.

review avatar
Carmen S
3 years ago
3 years ago

The training was both fascinating and beneficial. Many members of the staff commented on how useful it was. Tasmeea delivers the topic with authority, wit, and passion.

FAQs

Why should you attend?

Statistical Process Control (SPC) is a method used to monitor and control a process through the use of statistical tools. This course begins by introducing the fundamental concepts of SPC, emphasizing its importance in maintaining quality and efficiency in production processes. Participants will learn about different data types and distributions, which are crucial for understanding how to apply SPC effectively. The course delves into the fundamentals of variation, distinguishing between common and special causes, and explores how these variations impact process stability. Through hands-on exercises, learners will gain practical experience in analyzing process stability using real-world data examples. Control charts are a central focus of this course. Participants will explore various types of control charts for both variables and attributes, such as Xbar-R, Xbar-S, XMR, p, np, c, and u charts. The course provides detailed instructions on constructing these charts using software tools like Excel or specialized SPC software. Advanced topics include rules for interpreting control chart patterns and understanding process capability indices like Cp, Cpk, Pp, and Ppk. Learners will also engage in exercises that involve calculating these indices from sample data to assess process capability accurately. Finally, the course covers strategies for successful SPC implementation within organizations. It highlights common pitfalls to avoid and provides a roadmap for deploying SPC effectively. By the end of the course, participants will have a comprehensive understanding of SPC tools and techniques necessary for ensuring high-quality production processes.

What you'll learn

  • Calculate and analyze process capability indices such as Cp, Cpk, Pp, and Ppk.
  • Implement effective SPC strategies within an organization.
  • Construct and interpret various types of control charts for variables and attributes.
  • Utilize SPC software tools for monitoring production processes.
  • Identify common versus special causes of variation in processes.
  • Understand the principles and benefits of Statistical Process Control.
  • Conduct root cause analysis for out-of-control conditions.

Course Syllabus

Day 1 - SPC Introduction Fundamentals
Short Break
15 mins
Short Break
15 mins
Recap and Q&A
15 mins
Lunch
1 hour
Short Break
15 mins
Short Break
15 mins
Short Break
15 mins
Recap and Q&A
15 mins
End of Day 1
Day 2 - Control Charts Variables
Short Break
15 mins
Short Break
15 mins
Recap and Q&A
15 mins
Lunch
1 hour
Short Break
15 mins
Short Break
15 mins
Short Break
15 mins
Recap and Q&A
15 mins
End of Day 2

Instructor Reviews

review avatar
Rohit R
3 years ago
3 years ago

Tasmeea was an excellent teacher. Very pleasant, willing to assist and answer concerns, and continuously asked how she could assist more. She made the course enjoyable as well as informative.

review avatar
Sam A
3 years ago
3 years ago

Thank you so much for your invaluable guidance. I really enjoyed it and appreciated how much fun you made it! I feel much more equipped to cope with difficult challenges.

review avatar
Carmen S
3 years ago
3 years ago

The training was both fascinating and beneficial. Many members of the staff commented on how useful it was. Tasmeea delivers the topic with authority, wit, and passion.

We price match

Public Pricing

MYR 12000

Corporate Pricing

Pax:

Training Fees: MYR 6500/day
Total Fees: MYR 13000 ++

Training Provider Pricing

Pax:

Training Fees: MYR 5600
Material Fees: MYR 600
Total Fees: MYR 6200

Features

2 days
14 modules
11 intakes
Full life-time access
English

Classification

Industry Specific Course
  • Tailored to specific industry needs
  • Focuses on specialized tools and techniques
  • Ensures alignment with current and future standards
  • Provides targeted, practical training
  • Verified by industry experts

Subsidies

HRDC Claimable logo

Instructors

Loading...
Tasmeea Rahman Lecturer Teaching

Tasmeea Rahman is a highly skilled and versatile professional with a rich background in both academia and industry. Currently serving as a Freelance Corporate Trainer at Abundent in Kuala Lumpur, Malaysia, Tasmeea specializes in developing content and providing training on a wide array of subjects including Machine Learning, Data Analysis with Python, MS Excel, Power BI, Minitab, Jaspersoft, Apache Superset, TIBCO Spotfire, and various electrical and mechanical 2D/3D design tools such as AutoCAD and Autodesk Fusion 360. Her role also encompasses project management training. Previously, Tasmeea worked as an Adjunct Lecturer at Leading University in Sylhet, Bangladesh where she was involved in curriculum development and delivering engaging lectures on electrical and electronics courses. She has hands-on experience in teaching subjects like electrical circuits, VLSI design, digital signal processing, and microprocessors. Before her academic stint, she served as a Design Engineer at ALCOVE in Dhaka, Bangladesh where she was responsible for providing electrical and architectural drawings along with planning and executing projects. Tasmeea holds a Ph.D. in Project Management from Universiti Putra Malaysia with a perfect CGPA of 4.00/4.00. She also earned a Master of Engineering Management from the same university and an MBA in Marketing from the University of Dhaka. Her educational foundation is built on a Bachelor's Degree in Electrical and Electronics Engineering from United International University in Bangladesh. In addition to her formal education, Tasmeea has several certifications including Train the Trainer Certification from HRD Corp and Agile Project Management Certifications from Google via Coursera. She is proficient in multiple engineering software tools and programming languages including MATLAB, AutoCAD, C++, Assembly language, and Python. Fluent in both Bengali and English, Tasmeea is committed to continuous learning and professional development.

7 Students
83 Courses
Loading...
Habil Hadi Mohammed Mechanical Engineer Teaching

Habil Hadi Mohammed is a highly skilled Mechanical Engineer with a robust academic and professional background, currently pursuing a PhD in Biomedical Engineering at Universiti Putra Malaysia (UPM). His research focuses on 'Additive Manufacturing,' supported by UPM funding. Prior to his doctoral studies, he completed a Master's degree in Manufacturing Systems Engineering from the same university, where he excelled with a CGPA of 3.81/4. His dissertation explored the innovative use of single-mode fibre lasers for surface polishing of FDM printed parts. Habil's academic journey began with a Bachelor's degree in Mechanical Engineering from Salahaddin University-Hawler, Erbil, where he developed an internal ballistics model for artillery gun projectiles. In addition to his academic pursuits, Habil has accumulated significant industry experience. As of January 2024, he serves as a Developer Engineer for an international company based in Switzerland. In this role, he designs and develops machines using both 3D printing and conventional manufacturing techniques such as milling and turning. He successfully built and tested prototypes using self-built 3D printers and collaborates with Micro Precision Manufacturing (MPM) to support full-scale production processes. Since 2021, Habil has also been contributing as a Research Fellow at UPM's Faculty of Engineering. His work includes software development for multi-material Functionally Graded Material (FGM) 3D printers and designing automated sports equipment in collaboration with the Department of Sport Studies. He is actively involved in developing hydroponic plant systems and object-specific 3D printers for industry partners. Before his current roles, Habil gained managerial experience as an Area Manager at COZMO Market in Sulaymaniyah from 2016 to 2018, where he oversaw multiple departments and significantly increased sales through strategic planning. He also worked as a Sales Representative for BIODERMA during this period, achieving notable sales success. Habil's technical skills are complemented by various certifications in data management, visualization, programming languages like Python and C/C++, and design tools such as AutoCAD and Fusion360. His participation in numerous webinars and conferences highlights his commitment to continuous learning and staying abreast of emerging technologies. Fluent in Kurdish, Arabic, and English, Habil is well-equipped to engage with diverse teams across global platforms.

26 Courses
English

Minimum Qualification

undergraduate

Target Audience

engineers

Methodologies

lecture
slides
case studies
labs
q&A

FAQs

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