WM9F7-15 Managing Design and Manufacturing Technology
Introductory description
In today’s evolving engineering landscape, the close integration of effective design and efficient manufacturing is essential to producing innovative, sustainable and commercially viable products. This module explores how these interconnected disciplines drive state-of-the-art engineering practice and examines the digital and AI driven tools that are transforming how products are conceived, developed and brought to market.
This module explores the principles and practices that underpin advanced engineering design and manufacturing. Design is a structured and systematic process that enables engineers to develop effective and commercially viable products. Manufacturing complements this by transforming materials into functional components through planned processes and operations. As these areas are closely interconnected, engineers must design products that not only meet technical requirements but can also be produced efficiently and economically.
Students will develop an understanding of materials, manufacturing processes and the wider implications of design decisions, including process selection, assembly, automation, tooling, cost, quality and sustainability. The module also examines key digital tools (for example: CAD, CAM, CAPP, CAE, CIM and PDM) which are now essential for managing and optimising design and manufacturing activities.
Emerging AI technologies are increasingly influencing both fields. The module further considers how AI enhances idea generation, visualisation, early design analysis and improves manufacturing through optimisation, prediction and advanced quality control.
When delivered on Degree Overseas Programmes, this module is taught in an intensive one week format.
Module aims
This module introduces the core principles of product design and manufacture, covering the design process, materials and process selection, assembly, automation and sustainability. It emphasises the growing role of digital technologies such as artificial intelligence, data driven design tools and smart manufacturing systems, in shaping modern engineering practice.
Learners will explore structured frameworks for designing and manufacturing products, with a focus on Industry 5.0, human–technology collaboration and sustainable production. The module explores the increasing use of AI supported design optimisation, predictive analytics and intelligent automation to enhance decision making and manufacturing efficiency.
Teaching is supported by laboratory demonstrations, hands on practical sessions and exercises incorporating AI assisted design and manufacturing concepts.
Outline syllabus
This is an indicative module outline only to give an indication of the sort of topics that may be covered. Actual sessions held may differ.
Design process frameworks and management tools
Use of computers and technology to aid design and manufacture
Manufacturing technologies, processes & materials
Designing for a circular economy and lifecycle analysis
Learning outcomes
By the end of the module, students should be able to:
- 1. Demonstrate an advanced understanding of the fundamentals of product design and development processes, including: methods; technologies; latest trends; tools and techniques; outcome and functional/resource interdependence, interpreting their relationships from concept to customer.
- 2. Critically evaluate and make recommendations on approaches to the management of product design and development processes.
- 3. Critically evaluate and contrast: materials; manufacturing processes; manufacturing tools and technologies that are most used in the manufacturing industry.
- 4. Critically evaluate manufacture-design, demonstrating detailed knowledge of fundamental aspects of manufacturing and materials processes and technologies in the context of a circular /sustainable economy.
Indicative reading list
Specific reading list for the module
Subject specific skills
The course is centred around developing a broad range of knowledge and skills in design and manufacturing. The course focusses on two major disciplines, design and manufacturing, and will develop knowledge, skills and core competencies in:
- Fundamentals of the design process and a framework approach, independent of technology, to manage the design process.
- Fundamentals of materials and process technology together with utilisation of appropriate selection tools to enable a more scientific approach to material and process selection decisions.
- Recognise the scope and with utilisation of appropriate tools and techniques, critically evaluate and interpret the impact of automation and computing in design and manufacturing.
Transferable skills
- Apply complex scientific selection processes to arrive at solutions.
- Logically argue with rigour and reasoning to arrive at a given solution.
- Problem solving.
- Team-working.
- Presentation skills.
Study time
| Type | Required |
|---|---|
| Lectures | 15 sessions of 1 hour (10%) |
| Seminars | 4 sessions of 1 hour (3%) |
| Demonstrations | 1 session of 1 hour (1%) |
| Practical classes | 10 sessions of 1 hour (7%) |
| Online learning (scheduled sessions) | 2 sessions of (0%) |
| Online learning (independent) | 30 sessions of 1 hour (20%) |
| Private study | 30 hours (20%) |
| Assessment | 60 hours (40%) |
| Total | 150 hours |
Private study description
Further research into applications of taught material.
Survey of the engineering manufacturing market is required, hence some time will be spent researching literature.
Costs
No further costs have been identified for this module.
You must pass all assessment components to pass the module.
Assessment group A3
| Weighting | Study time | Eligible for self-certification | |
|---|---|---|---|
Assessment component |
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| End Module Assessment: critical review of approach and outcomes based on module case study work | 70% | 42 hours | Yes (extension) |
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Critical review of the approach, outcomes and recommendations related to the case study. |
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Reassessment component |
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| Reassessment | No | ||
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Structured critical review question based on approach and outcomes for a provided case study |
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Assessment component |
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| Case study presentation | 30% | 18 hours | No |
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Group presentation, followed by a short Q&A session from the assessors. |
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Reassessment component |
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| Reassessment Individual presentation | No | ||
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Recorded presentation focussing on one aspect/task of the a case study. Tutor will determine aspect/task. |
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Feedback on assessment
In-class debrief of performance on synchronous activity; written feedback will be provided in a report for all coursework assignments.
Courses
This module is Core for:
- Year 1 of TWMS-H1S3 Postgraduate Taught Engineering Business Management (Full-time)