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Outline the Through-life Engineering Services (TES) framework and develop a basic understanding of the key value drivers and performance criteria to be considered in delivering through-life value from complex engineering systems. This will be achieved by reviewing industry best practice and emerging research in the field of system maintenance and through-life support, and applying the learning from case studies. The module will address business drivers, business models, service frameworks and future trends to develop knowledge and critical appraisal of operational methods, engineering challenges and tools to sustain value from physical assets.

• Through-life value delivery and systems thinking, and their associated risks and uncertainties.
• Asset management business models, with examples of from different sectors.
• Value in use; stakeholder analysis; service design.
• Economic drivers for asset management; investment appraisal; cost vs performance trade off studies – methodology and examples.
• Engineering challenges in asset management with real life examples, and future trends.

• Dr Maryam Farsi

To examine the fundamental factors (e.g. reliability) that influence the availability of complex engineering equipment, the implications (e.g. cost) of it’s through life support and its ultimate effectiveness (e.g. trade-off) throughout its lifecycle with regards to the value streams (i.e. Avoid, Contain, Recover, Convert).

• The concept and definitions for system effectiveness.
• The definitions of Availability, Reliability and Maintainability (AR&M) and logistics to deliver systems effectiveness in relation to the stated requirements.
• Definitions and measurement of logistics for supportability strategies and contracting.
• Supportability Concepts and Logistics, their elements and interaction with AR&M.
• Quantitative Requirements, Mean Time Between Failure (MTBF) logistic delay, Mean Time to Repair (MTTR) and impact on service provided.
• Understand failure rate, hazard rate, failure distributions and failure avoidance including failure analysis in design and use of R&M predictions. 
• Integrated Logistic Support (ILS) and impact on system effectiveness and system sustainment through life including the design of the support solution.
• Understand the philosophy, scope and capabilities of ILS and Logistics Support Analysis (LSA) and associated systems thinking. 
• AR&M and supportability tools (e.g. FMECA and FTA techniques) and Reliability Centred Maintenance (RCM). 
• Human Factors Integration (HFI) and impact on system effectiveness and system sustainment through life.
• Testing and Evaluation and assurance of system effectiveness and sustainment for system operation and support.
• Data collection and management/interpretation of data.

On successful completion of this module you should be able to:

1. Appraise supportability concepts & logistics and how they contribute to system effectiveness and sustainment.

2. Analyse the measures of AR&M, how they are manipulated and applied and how their delivery can be assured.

3. Defend the AR&M and logistic techniques, including testing and trials, used throughout the lifecycle.

4. Evaluate the management issues for AR&M and Supportability in providing operational availability at minimum Through Life Cost (including programme management, risk management and capability integration).

5. Use of data-driven technologies to critically evaluate the strategies to plan system effectiveness through-life by considering the value streams.

To provide support solutions specialists with an understanding of different leadership models and frameworks and their application to change management within the context of through-life engineering services.

• Review leadership roles and responsibilities in through-life engineering.
• Values, attitudes and behaviours necessary for effective through-life engineering.  
• Characteristics, scope, purpose and roles and responsibilities.   
• The service support skills of negotiation, consultancy, facilitation, coaching, communication, team working and leadership.
• The role of ‘self’ in managing and leading change.  
• Resistance to change and sustainability of change – the role of cultures. 
• The diverse nature of organisations and how people, management and strategy are influenced by internal and external factors.  
• Change management including change in failure in service support and sustainment environments.  
• Pre-requisites for successful change.  
• Performance management approaches to drive successful implementation and change.

On successful completion of this module a student should be able to:
1. Examine leadership attributes and behaviours in the delivery of through life capability and system sustainment. 
2. Evaluate the skills required for the leadership and management of relationships and partnerships.  
3. Examine the leadership and skills required for change management in through-life engineering.  
4. Examine best practice in delivery of successful system sustainment and the leadership and skills that have delivered success.

To introduce Cost Engineering principles, procedures and practices that will contribute to the development of affordable products and services with the focus on optimised whole life cost and performance.

• Economic Through Life System development, understand why Cost Engineering (CE).
• CE principles, cost estimation and modelling techniques, CE process, whole life costing, Integrated Logistic Support (ILS) costing, cost of hardware development and manufacture, cost of through life support.
• Dynamic cost modelling, Knowledge management for Cost Engineering, affordability engineering, risk analysis and uncertainty management, systems thinking for cost.
• Holistic life cycle related CE case studies for improved business intelligence: Building awareness of software tools (e.g. TruePlanning, SEER-H).

Plan, source, transform, deliver and return are system activities that work towards the creation of values to business and customers. Operational availability of supported systems is such an anticipated output and even though business and customers cooperate in different levels and ways to deliver it, there are risks that can hinder its achievement. This m odule aims to study the relationship between the concept of operational availability and risk in such systems.

• Principles and concepts of risk and availability modelling
• Problem definition, FMEA and root cause analysis 
• Concepts of probability, uncertainty and reasoning
• Introduction to simulation  and its application in the analysis of support problems for the delivery of value and the evaluation of associated risks
• Scenarios development and analysis as a means to extend the knowledge base for informed decision making
• HRO principles and their applicability in the support operations business objectives

To enable students to analyse critically the challenges and key issues for the  development of alternative business models for Through Life Support.

• Contracted support options: commercial approaches and options from other sectors
• The evolution of global trends in maintenance, support and the circular economy in non-traditional TES sectors
• Systems and other thinking and practices  around requirements for through life support and sustainment.  
• Requirements capture, change management and economic evolution.
• Case studies to illustrate governance, cultures and behaviours, enablers and blockers, performance management, alternative contractual approaches and other possible lessons. 
• Measuring what matters: ensuring the right metrics for the delivery of effect and delivering an effective assurance process and the limitations of metrics.

• Dr Christos Emmanouilidis

The aim of this module is to provide fundamental concepts and working knowledge on information management, including data life cycle management, data value chains, data quality management, as well as emerging topics in information management, such as internet of things, data analytics, and information visualisation.

• Business Requirements and Digital Transformation
• Data Value Chains
• The Data Asset Lifecycle Management Challenges, including Big Data, Quality, Modelling, Standards, and Governance
• Internet of Things
• From Data to Knowledge and Actions: Data Analytics and Artificial Intelligence
• Context Information Management
• Signal / Image Management and Cloud Services
• Augmented Information Management and Delivery
• Edge and Cloud Computing Architectures
• Industry Applications and Case Studies
• Data - Driven Product and Service Innovation

To emphasise the significance of effective maintenance.

• Importance of Maintenance.

• Definition of Maintenance and objectives.

• Maintenance Approaches and Customisation.

• Maintenance Optimisation.

• Future Trends in Maintenance.

• Influence of IoT on Maintenance Strategy.

• Industrial case studies and issues with customisation.

On successful completion of this module you should be able to:

1. Assess the significance of maintenance for an industry.

2. Analyse the key factors for an effective maintenance.

3. Distinguish the principles of maintenance approaches.

4. Prepare a suitable maintenance procedure for real industrial scenario.

5. Evaluate the feasibility of customization in maintenance routines.