- The development of on-demand
intelligent product lifecycle service systems
Effective specification, design and creation of the complete service system, including:
- Service Foundations (e.g., dynamically reconfigurable architectures, data and process integration and sematic enhanced service discovery);
- Service Composition (e.g. composability analyses, dynamic and adaptive processes, quality of service compositions, business driven compositions);
- Service Management and Monitoring (e.g. self: configuring, adapting, optimising etc.)
- Service Design and Development (e.g. engineering of business services, versioning and adaptivity, governance across supply chains);
- Understanding service and lifecycle requirements with technological infrastructures to support integration and co-operation of components and services.
- Optimisation of the services to enable improved efficiency across the product lifecycle, entailing better resource utilisation, increased productivity and reusability, improved product quality and reliability and maintainability, prolonged service life, and decreased costs.
Service Systems relates to a understanding service and lifecycle requirements including all aspects from cradle to grave, repurposing, disposal, systems and sub-systems modelling, resilience optimisation, predictability etc...
PhD projects with a focus in this area include:
- Mike Johnson, co-sponsored by BMW "Human-computer Interactions within a Car Environment"
- Mohamed Taher Alrefaie co-sponsored by BMW "Driver State Modelling in Partially Automated Driving Cars"
- Melanie Zimmer co-sponsored by HSSMI "Multi-agent negotiation strategies for dynamic energy reduction in manufacturing"
- Adrian Ayastuy Rodriguez co-sponsored by Moredun Institute "Smart sensors for letection of lack of appetite in cattle"