Decision Making in Support of Manufacturing Enterprise Transformation
1MSI Research Institute, Wolfson School, Loughborough University, Loughborough, UK
2NIST, Gaithersburg, MD, USA
3University of Toulouse, Toulouse, France
4Department of Engineering, Liverpool University, Liverpool, UK
Decision Making in Support of Manufacturing Enterprise Transformation
Description
Strategic, tactical, and operational decision making is essential as part of transformational leadership: both in manufacturing enterprises (MEs) competing in worldwide markets and in small and medium-sized MEs that must be agile to survive. This special issue will characterise (1) common transformational decision-making needs in MEs and (2) the state of play in decision-making methods and technology. It will identify gaps in current decision-making sciences and consider the extent to which ongoing research can fill those gaps.
We invite authors to submit original research as well as review articles that will provide a good balance between market pull and technology push. Selected papers should illustrate the multidisciplinary nature of decision support in MEs and will reflect state-of-the art around the globe. Potential topics include, but are not limited to:
- The description of need (or market pull):
- Organisational decision-making theories and concepts
- Examples of ME decision making accounting for uncertainty arising from complex and dynamic relationships between complex entities
- Strategic, tactical and operational roles of enterprise transformers and their need for quality (timely, accurate, and cost-effective) decision making
- Examples of how holistic decision-making support can collectively advance the enterprise
- The description of solution methods and technology (or technology push):
- State-of-the art and emerging methods of modelling MEs to define decision support needs
- State-of-the art and emerging methods of modelling and implementing information systems to satisfy decision support needs
- State-of-the art and emerging localised decision support tools; their capabilities and application constraints
- State-of-the art and emerging holistic decision support tools
- Model-driven decision making
- State-of-the art and emerging intelligent decision systems and tools; their capabilities and application constraints
- Decision support architectures and components
- State-of-art on IT infrastructures; their decision support capabilities and application constraints
- User interface issues
- Frameworks, implementation, reconfiguration, and change issues
- The importance of decision support taxonomies and their state of play
Before submission authors should carefully read over the journal's Author Guidelines, which are located at http://www.hindawi.com/journals/ads/guidelines/. Prospective authors should submit an electronic copy of their complete manuscript through the journal Manuscript Tracking System at http://mts.hindawi.com/ according to the following timetable: