The student should be able to advise a management team on Quality Management.

1. explain Quality Management Frameworks
2. explain approaches to team building and team dynamics
3. manage a quality improvement programme
4. communicate modern trends in Quality Management
5. appreciate the quality culture and dynamics in an organisation

The student should be able to have a foundation in statistical analysis and be able to manipulate statistical data.

1. Summarise, describe data and identify the position of a data value in a dataset.
2. Determine the probability of an event using probability rules.
3. Calculate the probability for outcomes using discrete and continuous distributions.
4. Calculate confidence intervals for population mean, proportion and variance.
5. Perform hypothesis testing using parametric and nonparametric tests.
6. Make decisions and draw conclusions on the basis of statistical analysis.

This module has been designed to be a useful resource for industrial energy managers bringing utilities and systems in line with energy and carbon allowances while maximising efficiency of the plant. Also contains energy savings information tailored to industries or focused on specific plant utility and process improvements. Building and process energy will be examined with a view to streamlining and improving energy consumption. Energy efficient design of plant facilities and manufacturing equipment and communicate the message of energy efficiency to your employees and others.

1. Understand energy and carbon allowances calculation
2. Demonstrate an appreciation for process/plant utility improvement resources
3. explain the principles industrial best practice for plant and process design
4. Understand electrical power management
5. Recognise the role industry plays in the environment .
6. Perform and calculate the coefficient of plant performance.
7. Develop and show an understanding of waste management.
8. Understand ISO 50001 and structured approach to Energy Management

This module will provide the student with a comprehensive knowledge of the principles of operation, construction and layout of equipment used in the melt processing of polymeric materials. The students will become proficient in the application of the principles of scientific moulding and its use in injection mould design and process improvement.

1. Demonstrate an understanding of the theory, concepts and methods and gain practical application in relation to the injection moulding process.

2. Analyse key factors that affect the quality and performance ofpolymer extrusion process.

3. Inform new designs based on feedback and analysis of injection mould analysis.

4. Optimise the design and production parameters of an injection mould machine based on analysis an understanding of the historic faults.

5. Develop a continual improvement systembased on evidence to apolymer processes.

6. Demonstrate a detailed of knowledge and understanding of mould flow analysis.

This module will provide the student with the tools necessary to plan, conduct and analyse experiments. The analytical interpretation of these results will allow the student to optimise products and processes.

1. Calculate correlation coefficient and conduct a test of significance.
2. Solve simple linear regression and curvilinear regression problems and make predictions.
3. Conduct one way and two-way ANOVA including the analysis of residuals.
4. Conduct and factorial experiments and analyse the resulting data.
5. Apply Taguchi methods involving calculation of loss function and signal-to-noise ratios.
6. Describe when and how to apply the appropriate experimental techniques and models
7. Use a statistical package to analyse and interpret experimental data.

The aim of this module is to intorduce the learner to the recycling laws and legislation relevant to the plastics industries. The learner will gain an overview of polymers which can be currently recycled and the level of activity both nationally and internationally. Collection and sorting techniques for recycling of plastics will also be presented and will aim to equip the learner with the knowledge in order to select the most appropriate techniqes for different types of plastic materials. Finally additive properties for the enhancement of polymer recycling and reuse markets will be presented with case studies.

1. Compare polymer recycling costs andcarbon foot print withe the use of legislation

2. Analyse and compare the environmental impact of different materials in product design

3. Select the most appropriate sorting techniques for a recycling process

4. Compare and select the most appropriaterecycling process

5. Design plastic part for recycling using knowledge of additive and recycling process

The thesis is where the student brings together their analytical skills developed throughout the duration of their studies to research / investigate / analyse a specified technical area. The student must demonstrate the ability to carry out a detailed investigation, document the findings clearly and perform the task within the allotted timeframe.

1. Define clearly the objective of the chosen area of investigation.
2. Carry out research using library, and internet sources to establish current knowledge in field.
3. Carry out research using library, and internet sources to establish current knowledge in field.
4. Carry out a detailed technical investigation using relevant analysis tools and/or equipment.
5. Carry out the investigation within the allocated timeframe.
6. Document the work done in a coherent and professional manner.

Provides the student with a comprehensive understanding and knowledge of the use of statistical methods and techniques for monitoring and controlling processes.

1. Use and apply the basic problem solving techniques of quality to analyse data.
2. Apply qualitative tools for problems solving, prioritising problems and improving processes.
3. Develop, plot and analyse both variable and attribute Shewhart control charts.
4. Construct and use a EWMA chart
5. Apply short run and standardised control charts.
6. Conduct process and gauge capability analysis and develop the capability indices.
7. Conduct acceptance sampling by attribute and by variable data using ANSI/ASQC Z1.4 and ANSI/ASQC Z1.9 respectively.
8. Apply skip-lot, continuous and chain sampling procedures.

The main purpose of this module is the give student the experience of designing and injection moulding tool similar base on real part requirements and constraints. The student will learn about latest trends in injection moulding and learn about the tool available to produce good quality part parts.

1. Design low cavity moulds for complex parts
2. Design multi-cavity moulds for high volume parts
3. Apply plastic flow analysis to the mould design process
4. Understand the documentation requirements for various sectors: Medical, etc.
5. Complete a mould design project including all relevant documentation
6. Present and defend design solution to an audience of peers