Module Database Search
| MODULE DESCRIPTOR | |||
|---|---|---|---|
| Module Title | |||
| Quality Improvement and Statistical Process Control | |||
| Reference | ENM619 | Version | 3 |
| Created | February 2023 | SCQF Level | SCQF 11 |
| Approved | March 2018 | SCQF Points | 15 |
| Amended | August 2023 | ECTS Points | 7.5 |
| Aims of Module | |||
|---|---|---|---|
| To enable the student to use statistical techniques for improving the quality of products and processes, and to provide the student with the ability to critically apply quality management principles. | |||
| Learning Outcomes for Module | |
|---|---|
| On completion of this module, students are expected to be able to: | |
| 1 | Evaluate results obtained using statistical sampling and process control techniques. |
| 2 | Analyse data using experimental design and analysis techniques in the context of quality improvement. |
| 3 | Critically apply appropriate quality management concepts to organisational development and performance excellence. |
| Indicative Module Content |
|---|
| Study of statistical techniques: design and analysis of experiments (including Taguchi methods), acceptance sampling regimes, control charts for variables and attributes, process capability and other statistical process control techniques. Use of relevant statistical software. Identification of process improvement strategies. The use of quality management methodologies for implementing continuous improvement, the context of ISO Standards, Lean quality management systems; building and sustaining quality and performance excellence. |
| Module Delivery |
|---|
| This is a lecture-based course supplemented with tutorials, computer labs and student-centred learning. |
| Indicative Student Workload | Full Time | Part Time |
|---|---|---|
| Contact Hours | 35 | 35 |
| Non-Contact Hours | 115 | 115 |
| Placement/Work-Based Learning Experience [Notional] Hours | N/A | N/A |
| TOTAL | 150 | 150 |
| Actual Placement hours for professional, statutory or regulatory body |
| ASSESSMENT PLAN | |||||
|---|---|---|---|---|---|
| If a major/minor model is used and box is ticked, % weightings below are indicative only. | |||||
| Component 1 | |||||
| Type: | Examination | Weighting: | 100% | Outcomes Assessed: | 1, 2, 3 |
| Description: | Closed book examination. | ||||
| MODULE PERFORMANCE DESCRIPTOR | |
|---|---|
| Explanatory Text | |
| Component 1 comprises 100% of the module grade. A minimum of Grade D is required to pass the module. | |
| Module Grade | Minimum Requirements to achieve Module Grade: |
| A | A |
| B | B |
| C | C |
| D | D |
| E | E |
| F | F |
| NS | Non-submission of work by published deadline or non-attendance for examination |
| Module Requirements | |
|---|---|
| Prerequisites for Module | None. |
| Corequisites for module | None. |
| Precluded Modules | None. |
| INDICATIVE BIBLIOGRAPHY | |
|---|---|
| 1 | MONTGOMERY, D.C,. 2019. Introduction to Statistical Quality Control. 8th ed. Wiley. |
| 2 | KIRAN, D. R., 2016. Total Quality Management: Key Concepts and Case Studies. Elsevier. |