42143 Statistical Process Control
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Subject handbook information prior to 2024 is available in the Archives.
Credit points: 2 cp
Result type: Grade and marks
Recommended studies:
Industrial Engineering, Design of Production Systems, Industrial Automation
Description
This subject provides students a solid basis on statistical process control as a crucial set of tools, techniques and approaches for quality management and continuous improvement in industrial enterprises. The subject has been designed with the industry input of Thales and begins by offering an aerial view over process control as cornerstone of quality management systems and continuous improvement, then delving into the specific elements of statistical process control and charts. Students, upon being introduced to the major pieces of the quality management and control puzzle, focus on a thorough understanding over the main characteristics and tool of SPC. Particular attention is given to an appropriate selection of control charts, sampling size, techniques, and process capability. The learning experience is complemented with industry-relevant examples, case studies and project activities.
Subject learning objectives (SLOs)
Upon successful completion of this subject students should be able to:
| 1. | Interpret and appropriately apply common Statistical Process Control (SPC) tools. (D.1) |
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| 2. | Demonstrate applicable data collection, analyse and interpretation. (D.1) |
| 3. | Develop targeted SPC investigation and response strategies. (C.1) |
Course intended learning outcomes (CILOs)
This subject also contributes specifically to the development of the following Course Intended Learning Outcomes (CILOs):
- Design Oriented: FEIT graduates apply problem solving, design thinking and decision-making methodologies in new contexts or to novel problems, to explore, test, analyse and synthesise complex ideas, theories or concepts. (C.1)
- Technically Proficient: FEIT graduates apply theoretical, conceptual, software and physical tools and advanced discipline knowledge to research, evaluate and predict future performance of systems characterised by complexity. (D.1)
Teaching and learning strategies
This subject draws on a hybrid learning strategies to create an authentic and industry-relevant learning experience for students. It offers a combination of self-paced online material, interactive online exercise, as well as live sessions hosted both on-campus and online. Throughout the subject students will be presented with contemporary industry case studies relevant to the concepts they are learning. They will also be asked to discuss how these concepts can be applied to their own professional industry contexts.
Content (topics)
The content of the microcredential is structured into five modules. 1. 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
- Understanding and decision making around process variability
- Process capability and key statistics
- Interpreting capability indices
- Key elements to design a control system.
- Control charts and control limits
- 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.
- 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.
Assessment
Assessment task 1: Statistical Process Control investigation report
| Intent: | Students will to be able to successfully interpret the current state of a target production systems, to develop and a Statistical Process Control (SPC) investigation and appropriate communicate response strategies. This investigation will demonstrate their data collection, analyse and interpretation skills developed in this course and applied to the context of your chosen production systems. |
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| Objective(s): | This assessment task addresses the following subject learning objectives (SLOs): 1, 2 and 3 This assessment task contributes to the development of the following Course Intended Learning Outcomes (CILOs): C.1 and D.1 |
| Type: | Report |
| Groupwork: | Individual |
| Weight: | 100% |
| Length: | Maximum 10 presentation slides |
Minimum requirements
In order to pass the subject, a student must achieve an overall mark of 50% or more.
Required texts
All required texts and content will be provided through UTS Canvas.
Recommended texts
All recommended texts and content will be provided through UTS Canvas.