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Statistical Process Control

$ 1,990.00


05 June




8 wks


Avg 5 hrs/wk

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Lead Academic

Andrea Trianni

Andrea Trianni
Associate Professor in Production System Design, Deputy Head of School (Research)

Andrea has almost 15 years of academic experience in advanced manufacturing and production system design in Australia and Italy. As a core member of the Centre for Advanced Manufacturing at UTS, his main teaching and research interests involve design and management of production systems, with a focus on improved sustainability and competitiveness of industrial enterprises. He has managed a number of projects on the investigation of advanced solutions for improved productivity of industrial enterprises, including Industry 4.0 solutions for energy productivity.

Recently, Andrea has led the CRC RACE for2030 Opportunity Assessment project, aimed at exploring the potential of Industry 4.0 for energy productivity in Australia. Within the NSW government-sponsored Associate Degree in Advanced Manufacturing, he has designed, coordinated and lectured the subject on Production System Design. He has extensive experience of tailored academic and professional short courses on production system design and improved industrial energy efficiency.

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Gain foundational knowledge of statistical process control and harness this crucial set of tools, techniques and approaches for quality management and continuous improvement in industrial enterprise.

About this microcredential

Statistical Process Control (SPC) is vital for ensuring quality control, particularly in high-stakes industries where product failure can have significant repercussions, such as defence forces. With the Australian government's emphasis on bolstering local defence capabilities for example, suppliers are required to adhere to stringent quality certifications. SPC training equips manufacturers with crucial ISO 9001 and AS9100 certifications, which are essential for participation in defence supply chains. 

This microcredential provides you with comprehensive training in managing quality, cost, and schedule in advanced manufacturing, aligning with rigorous industry standards. It will enable you to explore specific elements of statistical process control with particular focus on appropriate selection of control charts, sampling size, techniques and process capability. You will be guided through industry-relevant examples, case studies and project activities, providing you with the necessary skills to meet industry standards and drive success effectively.

Key benefits of this microcredential

This microcredential has been designed to equip you with:

  • Skills to interpret and appropriately apply common SPC tools
  • Knowledge of applicable data collection, analysis and interpretation
  • Abilities to develop targeted SPC investigation and response strategies.

This microcredential aligns with the 2-credit point subject,  Statistical Process Control (42143) in a number of postgraduate offerings. For the full list of courses, see "Microcredential subject alignment" below in the "Additional course information" section.

This microcredential may qualify for recognition of prior learning at this and other institutions.

Who should do this microcredential?

This microcredential is targeted at business representatives across different sectors including engineering, manufacturing, maintenance and production who are seeking to introduce data driven quality tools, particularly with lean manufacturing into their operations to enhance efficiency and productivity. This includes, but is not limited to:

  • Operation executives
  • Engineers
  • Operation managers
  • Maintenance managers
  • Anyone responsible for quality and efficiency in the production line.


Full price: $1,990 (GST-free)*

*Price subject to change. Please check price at time of purchase.

Enrolment conditions

Course purchase is subject to UTS Open Terms and Conditions. 

COVID-19 response 

UTS complies with latest Government health advice. Delivery of all courses complies with the UTS response to COVID-19.

Additional course information

Course outline

The following content will be covered in this microcredential:

Module 1: Introduction to statistical process control

  • Introduction to statistical process control as cornerstone for quality planning in industrial organisations
  • Definition of quality including quality requirements and cost

Module 2: Process variability

  • Understanding and decision making around process variability
  • Process capability and key statistics
  • Interpreting capability indices

Module 3: Process control

  • Key elements to design a control system
  • Control charts and control limits

Module 4: Statistical process control and charts

  • Mean and range charts, charts for individuals
  • Median, mid-range and multi-varied charts
  • Moving mean, moving range and exponentially weighted moving average (EWMA) charts

Module 5: Statistical Process Control and Charts for Standard Deviation

  • Statistical process control and charts for standard deviation
  • Process control by attributes (np charts and p-charts, c-charts, u-charts)
  • The use of control chart and process capability data.  

Course learning objectives

Upon successful completion of this microcredential, participants should be able to: 

  • Interpret and appropriately apply common Statistical Process Control (SPC) tools
  • Demonstrate applicable data collection, analysis and interpretation
  • Develop targeted SPC investigation and response strategies.  


Participants will be required to successfully interpret the current state of a target production system and to develop a Statistical Process Control (SPC) investigation with appropriate communication response strategies. This investigation will need to demonstrate data collection, analysis and interpretation skills developed throughout the course, which are then applied to the context of the chosen production system. 



  • To complete this online course, you will need a personal computer with adequate internet access and sufficient software and bandwidth to support web conferencing. You will also require an operating system with a web browser compatible with CanvasZoom and Microsoft Teams.

Microcredential subject alignment

Contact us

  • For any questions on enrolment or payment, please contact UTS Open Support at 
  • For any questions about course content, delivery, or progression, please contact the The Faculty of Engineering and IT at

Book a session

Wed 05 Jun 2024-
Wed 31 Jul 2024
Expert: Andrea Trianni
  • Click on the underlined sessions and hours total link below to reveal specific session details.
  • Online
  • 8 sessions, 18 hours total

This course is delivered through a combination of live Zoom/Microsoft Teams virtual classes (1 x 2 hr sessions per week) and self-paced study. There is also an in-person lab sessions which will be held on-campus.

Enrolments close Friday, 31 May 2024 (AEST) or when all places have been filled, whichever occurs first. 


Acknowledgement of Country

UTS acknowledges the Gadigal people of the Eora Nation, the Boorooberongal people of the Dharug Nation, the Bidiagal people and the Gamaygal people, upon whose ancestral lands our university stands. We would also like to pay respect to the Elders both past and present, acknowledging them as the traditional custodians of knowledge for these lands.