Module Details

Module Code: PHYS7021
Title: Process Quality Systems
Long Title: Quality Methods for the Process Industry
NFQ Level: Intermediate
Valid From: Semester 2 - 2021/22 ( January 2022 )
Duration: 1 Semester
Credits: 5
Field of Study: 4411 - Physics
Module Delivered in: 3 programme(s)
Module Description: This module aims to provide the learner with a detailed understanding of and the ability to apply skills related to quality assurance and monitoring methods appropriate to an industrial advanced manufacturing environment.
 
Learning Outcomes
On successful completion of this module the learner will be able to:
# Learning Outcome Description
LO1 Apply the benefits of quality assurance.
LO2 Use statistical methods to monitor process metrics
LO3 Understand the assessment tools of process control testing.
LO4 Formulate methods of optimising process yield.
Dependencies
Module Recommendations

This is prior learning (or a practical skill) that is strongly recommended before enrolment in this module. You may enrol in this module if you have not acquired the recommended learning but you will have considerable difficulty in passing (i.e. achieving the learning outcomes of) the module. While the prior learning is expressed as named MTU module(s) it also allows for learning (in another module or modules) which is equivalent to the learning specified in the named module(s).

Incompatible Modules
These are modules which have learning outcomes that are too similar to the learning outcomes of this module. You may not earn additional credit for the same learning and therefore you may not enrol in this module if you have successfully completed any modules in the incompatible list.
No incompatible modules listed
Co-requisite Modules
No Co-requisite modules listed
Requirements

This is prior learning (or a practical skill) that is mandatory before enrolment in this module is allowed. You may not enrol on this module if you have not acquired the learning specified in this section.

No requirements listed
 
Indicative Content
Introduction
Total quality in organisations. The Kaizen Principle.
Process Assessment Tools
Process control for attribute and variables data. P-charts. Process capability index. Introduction to Six Sigma process. Taguchi loss function.
Graphical Tool Monitoring
Pareto charts, cause and effect diagrams (Ishikawa). Failure modes and effects analysis (FMEA). Scatter plots.
Process Optimisation.
Brainstorming, Overall Equipment Effectiveness, mistake proofing techniques. Control of Variance.
Module Content & Assessment
Assessment Breakdown%
Coursework100.00%

Assessments

Coursework
Assessment Type Short Answer Questions % of Total Mark 50
Timing Week 6 Learning Outcomes 1,2
Assessment Description
Theory assessment on benefits of quality assurance and methods used.
Assessment Type Short Answer Questions % of Total Mark 50
Timing Week 13 Learning Outcomes 3,4
Assessment Description
Theory assessment on methods of developing process control testing the how the yield is improved.
No End of Module Formal Examination
Reassessment Requirement
Repeat examination
Reassessment of this module will consist of a repeat examination. It is possible that there will also be a requirement to be reassessed in a coursework element.

The University reserves the right to alter the nature and timings of assessment

 

Module Workload

Workload: Full Time
Workload Type Contact Type Workload Description Frequency Average Weekly Learner Workload Hours
Lecture Contact Delivery of course material Every Week 4.00 4
Independent & Directed Learning (Non-contact) Non Contact Further study of lecture notes Every Week 3.00 3
Total Hours 7.00
Total Weekly Learner Workload 7.00
Total Weekly Contact Hours 4.00
Workload: Part Time
Workload Type Contact Type Workload Description Frequency Average Weekly Learner Workload Hours
Lecture Contact Delivery of course material Every Week 3.00 3
Independent & Directed Learning (Non-contact) Non Contact Further study of lecture notes Every Week 4.00 4
Total Hours 7.00
Total Weekly Learner Workload 7.00
Total Weekly Contact Hours 3.00
 
Module Resources
Recommended Book Resources
  • Evans Lindsay. (2021), The Management and Control of Quality, 9th. 12, p.712, [ISBN: 0357442032].
  • Warren Brussee. (2008), Statistics For Six Sigma, 3rd. 19, McGraw-Hill, USA, p.256, [ISBN: 9780071797535].
This module does not have any article/paper resources
Other Resources
 
Module Delivered in
Programme Code Programme Semester Delivery
CR_SINEN_8 Bachelor of Science (Honours) in Instrument Engineering 5 Mandatory
CR_SPHYS_7 Bachelor of Science in Applied Physics and Instrumentation 5 Elective
CR_SPRAI_7 Certificate in Process Analytical Instrumentation 2 Mandatory