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To introduce you to the core factors of managing operations and the concept of flow in operations.

• An introduction to manufacturing organisations and functions.

• The theory of operations, flow in manufacturing and what enables/inhibits it.

• Order winners, Order qualifiers, and competitive priorities.

• Key Performance Indicators in manufacturing.

• Product/Process matrix, facility layouts, production strategies, product families.

• Customer Demand and capacity planning, and standardization.

• Process flow diagrams, and value stream maps.

• S&OP, Master Production Scheduling, BOM, and scheduling rules.

• Push vs Pull production.

• Information systems; MRP, MPRll, ERP, and Kanban systems.

• Maintenance management strategies.

• Dimensions of Quality, Quality management frameworks, and the cost of quality.

• Roles of inventory; inventory management systems and measures.

• Lean Manufacturing.

• Class discussion of cases, exercises, and videos to support this syllabus.

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

1. Discuss the importance of the operations functions of an organisation and how operations performance can impact the success of the whole organisation.

2. Assess production and capacity management strategies that can be deployed to meet customer demand for products and services.

3. Assess the importance of inventory, maintenance, and quality management systems in achieving high levels of operational performance.

4. Determine the role of information in planning, control, and scheduling, including the role of IT systems.

5. Critique the different attributes of the Lean Production System and how they apply to contemporary operational contexts.

This module aims to provide a systematic understanding and knowledge of key concepts and principles for digital engineering and its current practices, tools and processes and future development. The course will also provide hands-on experience using digital engineering tools and methods using examples from product and service development.

• Introduction to Digital Engineering concepts.

• Digital Engineering Tools and Methods.

• Internet of Things (IoT), Virtual and Augmented Reality (VR&AR).

• Digital Twins.

• Artificial intelligence and machine learning.

• Digital Engineering Industrial Case Studies.

On successful completion of this module, you will be able to:

1. Evaluate the principles of digital engineering, its applications and benefits in product and service development.

2. Critically evaluate the selection of digital engineering tools and methods.

3. Create digital engineering tools and techniques in areas such as product and service development.

4. Critically evaluate the process of developing and using Virtual and Augmented Reality (VR&AR) methods and tools.

5. Evaluate the challenges in digital engineering implementation in industry.

To give an introduction to some of the key general management, personal management and project management skills needed to influence and implement change.

• Understanding Finance and raising funding to support innovation development.

• Personal style and team contribution, interpersonal dynamics, leadership, human and cultural diversity.

• Innovation Management: managing risk and tools for innovation management.

• Introduction to ethical and social responsibilities standards: awareness of standards, relevant standards (quality, environment and H&S),  

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

1. 1. Assess the impact of the market and internal functional responsibilities in a company on identifying and exploiting an innovation opportunity.
2. 2. Assess the inter-relationships between functional responsibilities in a company, critically applying theoretical underpinnings of innovation to the process of managing risk and supporting the implementation of a project.
3. 3. Assess and select among the different management styles, team roles, different cultures, and how the management of human diversity can impact organisational performance.
4. 4. Interpret and analyse the structure, aspects, and tools for project management, developing a credible business case for validating a new opportunity on the market.
5. 5. Critically assess the ethical and social responsibilities within an engineering context

Specialised module to advance your technical skills in industry ideation, prototyping and supporting design processes. This module will also introduce the facilities/workshops available at Cranfield in support of external contributors.

• Design thinking and creativity.

• Collaborative Innovation.

• Understanding the value and use of prototyping for innovation.

• Introduction to technology readiness levels (TRL’s).

• How to identify and write good requirement for design.

• Hands-on use of professional CAD software.

• Design skills workshops (sketching, CAD, mechatronics, Augmented and Virtual Reality, 3D printing).

• Knowledge of advanced materials and processes (smart materials, bio-inspiration, nano µo technologies, additive manufacturing).

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

1. Prepare and write design specification requirements for a new product, service or system.

2. Formulate, plan and build low fidelity prototypes using design best practice and agile innovation techniques.

3. Critically evaluate industrial best practice tools and techniques for converting an idea into commercially viable solutions.

4. Assess the value of technology readiness levels used as an innovation process.

5. Examine creatively within a multi-disciplinary team using self and group reflective techniques.

To extend your ability to evaluate complex systems within the context of the wider enterprise environment through the application of modelling and simulation tools, techniques and methodologies.

• Introduction to modelling: taxonomy, overview of methods and techniques.

• Enterprise Modelling.

• Process description capture tools and techniques.

• Discrete-event simulation, Systems dynamics and Agent-based simulation techniques and methodologies.

• Case study analysis, use of industry-based software tools.

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

1. Distinguish the concepts related to modelling approaches.

2. Analyse challenges and opportunities in the capture and representation of business knowledge through modelling.

3. Critically evaluate the opportunities in a business and industrial processes where modelling and simulation can add value.

4. Construct and apply different modelling & simulation approaches used in complex systems.

This module introduces the core concepts, systematic methods, and tools for design-driven innovation of product-service systems through group assignments.

It emphasises formal treatment of product-service systems as well as systematic methods for exploring the design space creatively and exhaustively. Through exercises given during the module, the student will develop the ability to compare and compose appropriate building blocks for the delivery of value creation, and to build shared understandings for managing and implementing the innovation process effectively. The assignment topic will be given in collaboration with an industrial partner.

• Innovation Overview.

• Design thinking and design process modelling.

• Lean Stratup Product-service systems.

• Hoshin Kanri and Dare to Lean.

• TRIZProblem-solving.

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

1. Assess the concept of innovation and create competitive advantage of product-service systems.

2. Design a process of Lean Strat-up for developing businesses, products and services.

3. Apply methods for systematic and exhaustive definition and exploration of the design space.

4. Evaluate different design solutions effectively and solve its problems.

5. Create strategy to define enterprise goals of their product-service system to be communicated throughout the company and then put into action.

To introduce you to the wider issues surrounding the management and optimisation of supply chains.

• Supply chain concepts.

• Supply chain strategy.

• Relationship management.

• Supplier Selection and Evaluation.

• Supplier Sustainability.

• Supply chain Planning.

• Design & Operating SC.

• Outsourcing Product Design and Manufacturing.

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

1. Evaluate issues surrounding the development of the right supply chain strategy for the business / product groups.

2. Create strategies for managing the information flows in a supply network in order to reduce the bullwhip effect and the challenges of accurate demand and forecast planning.

3. Evaluate the challenges with improving performance of supply networks and gain familiarity with the application of a variety of supply chain tools to help in the re-design of the SC.

4. Apply criteria in the sourcing, evaluation and validation of suitable providers of parts, design and manufacturing services for the supply of a complex engineered product.

5. Integrate procurement and supplier management for the supply chain to function effectively

As a Master level course this module has to develop knowledge, critical scientific thinking and hands-on experiences for developing a product. A scholarly approach of product development, project management and evolution, as well as the use of the most suitable material and technology, are expected. Research appropriately into customer and market requirements and their analysis to translate the requirements into product specification.

• Introduction to Product Development (PD).

• Concurrent Engineering

• PD Tools and Methods.

• Lean Product Development

• Set-Based Concurrent Engineering (SBCE).

• SBCE Industrial Case Studies.

• PD in Knowledge-based Environment.

• Trade-Off Curves to enable SBCE.

• Tutorial PD Project.

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

1. Assess the application of product development process in lean environment and addressing global collaboration.

2. Design a process of product development based on the principles of set-based concurrent engineering.

3. Formulate the process of selection of materials and manufacturing processes.

4. Appraise the application of tools and techniques to support product development such as QFD, DFM, DFA, and FMEA.

5. Create and manage product development knowledge to solving product design and development problems and to enable trade-off between design solutions.