Statistical Process Control Training - SPC Charts & Analysis

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 Nov 23-24, 2026 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 2800/day
Material Fees: MYR 600
Total Fees: MYR 6200 ++

Features

2 days
16 modules
8 intakes
Full life-time access
English
Technical: 25 pax

Target Audience

engineers

Methodologies

lecture
slides
labs
case studies
q&A

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
Module 1
Module 2
Short Break
15 mins
Module 3
Module 4
Recap and Q&A
15 mins
Lunch
1 hour
Module 5
Module 6
Short Break
15 mins
Module 7
Module 8
Recap and Q&A
15 mins
End of Day 1
Day 2 - Control Charts Variables
Module 9
Module 10
Short Break
15 mins
Module 11
Module 12
Recap and Q&A
15 mins
Lunch
1 hour
Module 13
Module 14
Short Break
15 mins
Module 15
Module 16
Recap and Q&A
15 mins
End of Day 2

Instructor

Loading...
Tasmeea Rahman Data Analytics & Engineering Training Specialist
Trainer Profile
Trainer Profile
TTT Certificate
TTT Certificate
TTT Accreditation
TTT Accreditation
Tasmeea Rahman is a highly accomplished corporate trainer and academic professional with a unique blend of technical expertise and pedagogical excellence. Currently pursuing her PhD in Project Management with a focus on Energy Management in the electrical power industry at Universiti Putra Malaysia, she maintains an exceptional 4.00/4.00 CGPA while actively contributing to the professional training landscape. With extensive experience as a Freelance Corporate Trainer since 2023, Tasmeea specializes in delivering comprehensive training programs across multiple domains. Her training portfolio encompasses advanced data analytics tools including Python, Power BI, Minitab, Jaspersoft, Apache Superset, and TIBCO Spotfire, as well as machine learning applications. She also excels in teaching engineering design software such as AutoCAD, Autodesk Fusion 360, Solid Edge, and Autodesk 3Ds Max for both 2D and 3D electrical and mechanical designs. Her project management training capabilities further complement her diverse skill set. Her academic credentials are impressive, holding a Master of Engineering Management from Universiti Putra Malaysia (CGPA: 3.713/4.00), an MBA in Marketing from the University of Dhaka (CGPA: 3.61/4.00), and a Bachelor's degree in Electrical and Electronics Engineering. This multidisciplinary educational background enables her to bridge technical concepts with business applications effectively. As an Adjunct Lecturer at Leading University, she demonstrated her ability to develop curricula and deliver engaging lectures on complex electrical and electronics subjects, including VLSI design, digital signal processing, and microprocessor systems. Tasmeea's research contributions are noteworthy, with publications in high-impact journals including a first-author paper in Renewable and Sustainable Energy Reviews (Q1, Impact Factor: 15.9) and co-authored works in IEEE Access. She holds a Train the Trainer Certification from HRD Corp Malaysia and is certified in Agile Project Management by Google. Her technical proficiency spans programming languages like Python and C++, engineering software including MATLAB and CISCO Packet Tracer, and various data analytics platforms. With her combination of industry experience, academic rigor, and certified training expertise, Tasmeea delivers practical, industry-relevant training that empowers professionals to excel in their respective fields.
8 Students
93 Courses
8 Years

Instructor

Loading...
Habil Hadi Mohammed Additive Manufacturing & 3D Printing Specialist
Trainer Profile
Trainer Profile
Habil Hadi Mohammed is a highly skilled Mechanical Engineer and Research Fellow specializing in advanced manufacturing technologies, with particular expertise in additive manufacturing, 3D printing, and functionally graded materials (FGM). Currently pursuing his PhD in Biomedical Engineering at Universiti Putra Malaysia (UPM), he combines strong academic credentials with practical engineering experience to deliver innovative solutions across multiple industries. With a Master's degree in Manufacturing Systems Engineering (CGPA 3.81/4) and a Bachelor's in Mechanical Engineering, Habil has established himself as an expert in the rapidly evolving field of additive manufacturing. His research focuses on cutting-edge topics including multi-material 3D printing, material extrusion processes, and surface finishing techniques for FDM printed parts. His work has been recognized at international conferences in Slovenia, Malaysia, and Hong Kong, where he has presented papers on FGM implementation and material flow control in additive manufacturing. As a Research Fellow at UPM since 2021, Habil has demonstrated exceptional capabilities in software development, automation, and prototype design. He has successfully developed software for multi-material FGM 3D printers, designed automated sports equipment, and created hydroponic plant systems. His current role as a Developer Engineer for an international Swiss company showcases his ability to bridge theoretical knowledge with practical application, where he designs, programs, and develops machines using both 3D printing and conventional manufacturing techniques. Habil's technical proficiency spans multiple programming languages including Python, C/C++, Arduino, XCode, and Swift, complemented by expertise in CAD software such as AutoCAD, Fusion360, ANSYS, and SolidWorks. His analytical skills are enhanced by proficiency in data analysis tools including Minitab, SPSS, and Python. Beyond technical skills, his management experience as an Area Manager demonstrates strong leadership abilities, having successfully doubled sales through strategic planning and employee training. Multilingual and culturally adaptable, Habil brings a unique global perspective to engineering challenges, making him an invaluable asset for organizations seeking innovation in manufacturing technology and engineering education.
120 Courses
English
9 Years

Instructor Reviews

TR

Tasmeea Rahman

Data Analytics & Engineering Training Specialist

"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."

"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."

"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."

FAQ

Frequently Asked Questions About This Course

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
Module 1
Module 2
Short Break
15 mins
Module 3
Module 4
Recap and Q&A
15 mins
Lunch
1 hour
Module 5
Module 6
Short Break
15 mins
Module 7
Module 8
Recap and Q&A
15 mins
End of Day 1
Day 2 - Control Charts Variables
Module 9
Module 10
Short Break
15 mins
Module 11
Module 12
Recap and Q&A
15 mins
Lunch
1 hour
Module 13
Module 14
Short Break
15 mins
Module 15
Module 16
Recap and Q&A
15 mins
End of Day 2

Instructor Reviews

TR

Tasmeea Rahman

Data Analytics & Engineering Training Specialist

"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."

"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."

"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 2800/day
Material Fees: MYR 600
Total Fees: MYR 6200 ++

Features

2 days
16 modules
8 intakes
Full life-time access
English
Technical: 25 pax

Target Audience

engineers

Methodologies

lecture
slides
labs
case studies
q&A

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 Data Analytics & Engineering Training Specialist
Trainer Profile
Trainer Profile
TTT Certificate
TTT Certificate
TTT Accreditation
TTT Accreditation
Tasmeea Rahman is a highly accomplished corporate trainer and academic professional with a unique blend of technical expertise and pedagogical excellence. Currently pursuing her PhD in Project Management with a focus on Energy Management in the electrical power industry at Universiti Putra Malaysia, she maintains an exceptional 4.00/4.00 CGPA while actively contributing to the professional training landscape. With extensive experience as a Freelance Corporate Trainer since 2023, Tasmeea specializes in delivering comprehensive training programs across multiple domains. Her training portfolio encompasses advanced data analytics tools including Python, Power BI, Minitab, Jaspersoft, Apache Superset, and TIBCO Spotfire, as well as machine learning applications. She also excels in teaching engineering design software such as AutoCAD, Autodesk Fusion 360, Solid Edge, and Autodesk 3Ds Max for both 2D and 3D electrical and mechanical designs. Her project management training capabilities further complement her diverse skill set. Her academic credentials are impressive, holding a Master of Engineering Management from Universiti Putra Malaysia (CGPA: 3.713/4.00), an MBA in Marketing from the University of Dhaka (CGPA: 3.61/4.00), and a Bachelor's degree in Electrical and Electronics Engineering. This multidisciplinary educational background enables her to bridge technical concepts with business applications effectively. As an Adjunct Lecturer at Leading University, she demonstrated her ability to develop curricula and deliver engaging lectures on complex electrical and electronics subjects, including VLSI design, digital signal processing, and microprocessor systems. Tasmeea's research contributions are noteworthy, with publications in high-impact journals including a first-author paper in Renewable and Sustainable Energy Reviews (Q1, Impact Factor: 15.9) and co-authored works in IEEE Access. She holds a Train the Trainer Certification from HRD Corp Malaysia and is certified in Agile Project Management by Google. Her technical proficiency spans programming languages like Python and C++, engineering software including MATLAB and CISCO Packet Tracer, and various data analytics platforms. With her combination of industry experience, academic rigor, and certified training expertise, Tasmeea delivers practical, industry-relevant training that empowers professionals to excel in their respective fields.
8 Students
93 Courses
8 Years
Loading...
Habil Hadi Mohammed Additive Manufacturing & 3D Printing Specialist
Trainer Profile
Trainer Profile
Habil Hadi Mohammed is a highly skilled Mechanical Engineer and Research Fellow specializing in advanced manufacturing technologies, with particular expertise in additive manufacturing, 3D printing, and functionally graded materials (FGM). Currently pursuing his PhD in Biomedical Engineering at Universiti Putra Malaysia (UPM), he combines strong academic credentials with practical engineering experience to deliver innovative solutions across multiple industries. With a Master's degree in Manufacturing Systems Engineering (CGPA 3.81/4) and a Bachelor's in Mechanical Engineering, Habil has established himself as an expert in the rapidly evolving field of additive manufacturing. His research focuses on cutting-edge topics including multi-material 3D printing, material extrusion processes, and surface finishing techniques for FDM printed parts. His work has been recognized at international conferences in Slovenia, Malaysia, and Hong Kong, where he has presented papers on FGM implementation and material flow control in additive manufacturing. As a Research Fellow at UPM since 2021, Habil has demonstrated exceptional capabilities in software development, automation, and prototype design. He has successfully developed software for multi-material FGM 3D printers, designed automated sports equipment, and created hydroponic plant systems. His current role as a Developer Engineer for an international Swiss company showcases his ability to bridge theoretical knowledge with practical application, where he designs, programs, and develops machines using both 3D printing and conventional manufacturing techniques. Habil's technical proficiency spans multiple programming languages including Python, C/C++, Arduino, XCode, and Swift, complemented by expertise in CAD software such as AutoCAD, Fusion360, ANSYS, and SolidWorks. His analytical skills are enhanced by proficiency in data analysis tools including Minitab, SPSS, and Python. Beyond technical skills, his management experience as an Area Manager demonstrates strong leadership abilities, having successfully doubled sales through strategic planning and employee training. Multilingual and culturally adaptable, Habil brings a unique global perspective to engineering challenges, making him an invaluable asset for organizations seeking innovation in manufacturing technology and engineering education.
120 Courses
English
9 Years

FAQ

Frequently Asked Questions About This Course

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