A special issue of European Journal of Industrial Engineering
The global economy is becoming increasingly service-oriented due to the key role of services, where the service industry produces over 80% of GNP and total employment in developed countries, with emerging and inspiring figures in developing countries, too. As a result, service management has received growing interest in recent years.
The importance of studying service systems and finding “robust solutions” for the problems encountered in service management (design, strategy, quality, deployment and configuration of services, service operations management, service pricing, service reliability, etc.) has been also increasing. The main aim is to find “robust and acceptable solutions” for the problems within an affordable time period. However, many problems of service industry remain with difficulties to be solved within a reasonable time due to the complexity and dynamic nature of the service systems.
Emergent computing (EC) studies offer use of nature-inspired problem solving systems, for this purpose. Examples typically cited as EC applications include (but are not limited to) agent-based systems, swarm intelligence (ant-colony, bee-colony, particle swarm algorithms etc.), cellular automata, chaos theory, evolutionary algorithms, artificial immune systems, neural and fuzzy systems etc. We believe that the use of EC for solving service management problems can improve not only “service intelligence” but also quality and performance of the service systems.
The main goal of this special issue is to increase the awareness of the service sector on the effectiveness and power of emergent computing technology, through high quality research papers. We are inviting people from both academia and industry to submit papers on their recent research experience considering emergent computing to be applied to service management problems.
Suitable topics include but are not limited to:
Service Management
- Service design and development processes
- Supply chain management and logistics
- Service project management
- Service quality management
- Service operations design, development and management
- Service delivery, deployment and maintenance
- Human resource management in services
- Evolutionary algorithms and metaheuristcs
- Neural and fuzzy systems
- Swarm intelligence (ant-colonies, bee-colonies and particle swarm
- optimisation etc.)
- Agent-based systems
- Cellular automata
- Chaos theory
- Artificial immune systems
Submission Deadline: 30 January, 2008
Notification of the Initial Decision: 30 April, 2008
Notification of Acceptance: 30 July, 2008
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