The challenges faced by modern industry systems in this era of continued intense competition and increasing concerns of environmental sustainability include maximising productivity and ensuring high product quality, as well as simultaneously reducing production waste, costs and undesirable environmental impacts. Many important industrial design and planning problems are plagued with conflicting objectives and uncertainties. It is thus of paramount importance to develop effective decision support and capabilities to assist managers and stakeholders in various critical phases of data collection, problem analysis, clarification and solution processes.
An intelligent systems approach can be defined as one that synthesises the tools and methods of control theory, operations research and artificial intelligence (AI) to support the modelling, analysis and design of complex systems. Expert systems methodologies further enrich the approach by synthesising state-of-the-art computational techniques with the requisite knowledge bases distilled from human expertise. Such a holistic and synergistic approach provides the necessary arsenal and capability to cope with the increasing complexities of the systems that we work and live in, including manufacturing, services and socio-economic systems. The theoretical development and advancement of intelligent and expert system methodologies and technologies and the realisation of their added value through real-world applications continues to be an important and thriving research area.
This special issue aims to bring together a showcase of top research developments in the area of intelligent and expert systems for sustainable industrial applications.
Suitable topics include, but are not limited to, the following:
- Development of intelligent and expert system techniques (artificial intelligence, data analytics, control theory, operations research, evolutionary computation, etc.) for sustainable industrial systems, with emphasis on environmental issues such as energy efficiency, recycled manufacturing, carbon emissions, etc.
- Industrial case studies and practices in intelligent and expert control systems are especially encouraged
- Roadmaps and frameworks for developing decision support systems and sustainable industry systems
Submission of manuscripts: 31 January, 2015
Notification to authors: 1 April, 2015
Final versions due: 1 June, 2015