This module covers key concepts in engineering systems quality and operations management. Topics include problem definition and multi-objective analysis within systems engineering, optimisation techniques such as dynamic programming and resource allocation, and advanced decision analysis methods. The module also explores quality planning, control, continuous improvement, and statistical quality assurance, alongside reliability analysis and the application of quality improvement tools in system design and maintenance.

In addition, the module introduces modern engineering management techniques essential for transforming ideas and market needs into practical solutions. It covers project management tools used in complex engineering environments, including materials and process selection, failure mode and effects analysis (FMEA), design for manufacturing and assembly (DFMA), and statistical quality control. Decision-making and optimisation tools for managing engineering systems are also included.

The module further examines the latest concepts of Industry 4.0 and cyber-physical systems, highlighting their role in contemporary engineering operations and system integration. Facility location and layout design, product design processes, and the management of interactions between materials, design, and emerging technologies are also studied to provide a comprehensive understanding of engineering systems quality and operations.

1. Critically identify complex problems and design systems-based solutions using advanced decision making and problem-solving tools in an engineering and technology management context. AHEP 4: M1, M2 & M4

University Learning Outcome: Learning, Application

2. Develop appropriate solutions using modern philosophies and technologies of systems and operations design processes. AHEP 4: M16

University Learning Outcome: Problem Solving

3. Demonstrate a comprehensive understanding of various planning and management tools used within engineering environments and critically optimise systems operations. AHEP 4: M1, M2, M4, M5, M17

University Learning Outcome: Knowledge and Understanding, Communication

4. Design and deploy appropriate matrix-based experimental design techniques and critically appraise the organisation techniques when related to strategic goals. AHEP 4: M3

University Learning Outcome: Enquiry, Analysis

A 20-minute group presentation based around planning and management tools, used within an engineering context, weighted at 30% assessing learning outcomes 2 and 3. Meeting AHEP 4 Outcomes M1, M2, M4, M5, M16, M17.

A 2-hour written examination based on essay and technical questions weighted at 70% assessing learning outcomes 1 and 4. Meeting AHEP 4 Outcomes M1, M2, M3.

Professional Body requirements mean that a minimum overall score of 50% is required to pass a module, with each element of assessment requiring a minimum mark of 40% unless otherwise stated.

This module will be delivered through a variety of activities which will include:

Lectures and Seminars
Tutorials and Case Study Analysis
Group Problem Solving Activities
Use of appropriate software for decision making and analysis

Blended mixture of lectures, interactive group tutorials and seminars/labs will allow you to understand theory and applied practical terms related to modern engineering tools and techniques to evaluate problems and create effective solutions.

A total of 60 hours of contact time will be utilised.

This will be supported by 240 hours of independent study where you will have the opportunity to research background information related to the delivery of the core material and to work on your group presentation and revision for the examination.

Smart Zone Manufacturing and Measurement Equipment as appropriate
The following software or suitable alternative:
CAD Software i.e. Autodesk Inventor / Fusion360
Granta Design CES Software
Microsoft Project
IBM SPSS

Blackboard VLE Library facilities
Scopus
Google Scholar
Connected Paper
Office 365

Quality and Reliability Engineering International Journal, Chichester: Wiley
ISSN: 1099-1638

Jiang R, Introduction to Quality and Reliability Engineering, Berlin, Heidelberg: Springer, 2015,
ISBN: 978-3-662-51589-1

Elsayed, Elsayed A., Reliability Engineering – 3rd Edition, Chichester: Wiley, 2020,
ISBN: 978-1-119-66592-2

Jiju, A., Design of Experiments for Engineers and Scientists – 3rd Edition, London: Elsevier, 2023,
ISBN: 978-0443151743

Ashby, M. F. (2024) Materials Selection in Mechanical Design. 6th Edition. Butterworth-Heinemann

Groover, M. P. (2021) Automation, Production Systems, and Computer-Integrated Manufacturing. 5th Edition. Pearson

Kalpakjian, S. and Schmid, S. (2020) Manufacturing Engineering and Technology. 8th Edition. Pearson

This module provides an in-depth exploration of engineering systems quality and operations, covering optimisation techniques, quality management, and modern engineering processes. It integrates key concepts such as Industry 4.0, cyber-physical systems, and advanced project management tools to equip you with the skills to manage complex engineering systems and improve overall system performance.