High non-linear interaction between different product and process components involved during delivery and services has led to increased system complexity. For example, product globalisation coupled with shorter lead times, product customisation and safety requirements has created very high non-linear dynamics between the product, process and delivery systems which need to be taken into account by manufacturers or service providers to sustain in the market.
Similarly, in healthcare, domain services are affected by changes in population demography, technological and medical advancements, and other factors which in turn affect the paradigms of health and social care systems worldwide.
This special issue invites quality papers describing original work, case studies or new findings related to solving complex system problems from, but not limited to, the domains of product design, manufacturing, services, healthcare delivery systems, logistics and supply chains using intelligent approaches from OR, data mining, machine learning and simulation domains.
Suitable topics include but are not limited to:
- Data mining
- Machine learning
- Virtual metrology
- Soft computing
- Evolutionary algorithms
- Modelling and simulation
- Virtual manufacturing technologies
- Agent-based simulation
- Petri-nets
- Expert systems
- Intelligent design and manufacturing
- Production planning, scheduling and control
- Simulation in logistics and supply chain design
- Knowledge-based simulation
- Industrial case studies
Submission of manuscripts: 30 November, 2013
Notification to authors: 15 February, 2014
Final versions due: 30 March, 2014
No comments:
Post a Comment