This module covers the application of Lean Manufacturing techniques to Enterprise-level problems in manufacturing and service industries. Students will identify the Current State of an organisation's processes and, by mapping the process, identifying waste, introducing flow, and making process improvements, develop a Future State. They will look at Lean in the Services Industry and Design. The people-related aspects of Lean will be considered.

1. Evaluate the modern approach to Enterprise-level Engineering, using lean manufacturing techniques and business process reengineering.
2. Assess the principles of Lean Services and develop lean solutions to service problems in an enterprise.

3. Apply Lean principles to the process of product development,evaluate problems and choose solutions.

4. Apply Lean Enterprise engineering techniques such as Value Stream Mapping to map the processes in a value chain, analyse value and waste, identify areas for improvement and solve enterprise problems.

5. Select and apply appropriate change management tools and strategies to optimise the implementation of Lean Thinking in an enterprise.

The principles of Operations Management and Supply Chain Engineering. It will cover the design, management and control of the sustainable supply chain, from the market, sales and distribution, to manufacturing and procurement.

1. Examine the role, tools and impact of Operations Management in the organisation and logistics system.

2. Compare and contrast appropriate strategies and competitive behaviour for
organisations including consideration of sustainability issue

3. Appraise appropriate Operations Management improvement tools and techniques to optimise the logistics system.

4. Select the appropriate location for a warehouse or manufacturing facility and develop an inventory management plan for a business.
5. Design map and discuss how supply chain management supports the development and execution of a winning competitive strategy

This module looks at the application of Six Sigma techniques and tools and the "Define, Measure, Analyse, Improve, and Control" (DMAIC) process to solve industry problems and improve processes. It gives students a toolkit of techniques with which to define a problem, collect data about it, look for trends in the data, design experiments to develop new solutions, and ensure that process improvements are sustained.

1. Distinguish and utilise Lean Six Sigma concepts and explain why organisations use them.

2. Identify, select and apply Lean and Six Sigma tools for problem solving, prioritizing problems, evaluating process performance, and propose solutions forprocess improvement and waste reduction, and improved sustainability of the company.

3. Collect, summarise, analyse and interpret data using graphical methods, descriptive and inferential statistics.

4. Communicate findings effectively, accepting responsibility for their own contribution and performance.

5. Examine various codes of ethics for engineers andapply theconcepts of ethics and integrity.

The module is an introduction to issues associated with professional engineering and the impact of engineering on society and the environment. The principle of engineering entrepreneurship will be introduced. The importance of the adherence to a Code of Ethics for Engineers will be emphasised.

1. Analyse the ethical considerations pertaining to engineering decisions and make recommendations.
2. Review the role and contribution of engineering and develop proposals for the role of the engineer of the future in the context of the UN’s Sustainable Development Goals (SDGs).

3. Examine the impacts of engineering products and services on customers and the environment, critically analyse the content of associated standards and regulations, and demonstrate the importance of sustainability as good business strategy.
4. Apply environmental tools to the solution of sustainability problems.
5. Utilise financial and business analysis tools to analyse data in support of a business plan, or to enhancethe competitive position of an organisation.

6. Analyse a business case for a new product introduction or a business venture facing competitiive pressures

An introduction to the implementation of energy efficiency and energy management practices in buildings, industrial facilities, and other organisations in the context of economic, environmental and political drivers of Energy Management.

1. Explain and apply the fundamental areas of energy efficiency including thermal and electrical systems in industrial and building applications.

2. In the context of the UN’s Sustainable Development Goals (SDGs), explain the drivers of energy efficiency and energy management including economic, environmental and policy considerations.

3. Describe Energy Management principles and plan energy audits, analyse the energy profile of an organisation, and implement energy management systems such as ISO 50001.

4. Evaluate energy efficiency and energy management projects through engineering economic analysis.

Recent technological advances in smart sensors, wireless networks, cloud computing and artificial intelligence are bringing new levels of monitoring and control to manufacturing .This module is concerned with the current and future trends of automation and data exchange.

1. Recognise the changes in skills and work practice required for an organisation to prepare for Industry 4.0.

2. Discuss the implication of moving towards Industry 4.0 for a particular type of industry.

3. Collaborate with manufacturing and automation engineers in the transition towards Industry 4.0.

4. Identify and specify smart-technologies applicable to a particular company.

The aim of this module is to provide students with the knowledge of entrepreneurship in a business context, and the skills to develop a business plan to enable the commercialisation of a product or service.

1. Analyse the nature of entrepreneurship and entrepreneurs.

2. Design an innovation process to develop a product or service

3. Develop an industry standard business plan.

4. Present a business plan

5. Identify and validate sources of funding for a new venture.

6. Demonstrate the broader business context in which start-ups take place.

Learners will become familiar with: Statistical overview. Reliability and redundancy. Maintenance Theory.

The learner will be able to understand and use the following analysis techniques: Reliability Block Diagrams. Weibull analysis. Failure Mode Effects and Critical Analysis. Fault Tree Analysis.

The learner will comprehend the differences between the following maintenance systems: Predictive Maintenance Total Productive Maintenance Preventative Maintenance. Reliability Centred Maintenance

Total Productive Maintenance.

1. Appraise maintenance management strategies including Preventative, Predictive,Reliability Centred and Total Productive Maintenance
2. Evaluate statistical models to calculate reliabilities.
3. Predict the reliability of systems using Reliability Block Diagrams for constantfailure rates and the use of Weibull plotting to assess failure rate changes.
4. Select and report on appropriate strategies for safety management, risk management and systems and product design.
5. Support a maintenance management team in a useful and constructive role.
6. Establish and measure maintance costs.

This module is industry based. Students will use the knowledge, skills and competences acquired in the programme to identify and implement savings in a manufacturing plant. Students must use the DMAIC Cycle in a structured manner to eliminate waste (MUDA) from processes, products, and other business activities of the student's employer / work experience organisation, while having a positive impact on financial performance. Students have a target of €50,000 annual savings (if the saving from the project were calculated over a year, they would result in saving over € 50,000). The project can be one big project or multiple smaller projects.

1. Develop their ability to work as an individual.

2. Apply the engineering knowledge and experience accumulated throughout the course to a specific problem.

3. Independently conduct research in a particular field of engineering.

4. Apply the DMAIC (Define, Measure, Analyse, Improve, & Control) Cycle to demonstrate the ability to develop original solutions to moderately complex engineering problems.

5. Develop and present a project plan which modularises the project into work packages and identify the resources required to complete the work packages.

6. Report on the Performance of the Project including Scope, Schedule, Cost and Customer Acceptance.

7. Communicate findings and make recommendationthrough different media.