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Abstract
The management of services is the kernel content of service-oriented manufacturing. However, it is difficult to realise the integration and optimisation of services in an open environment, which contains large amounts randomicity and uncertainty. The key problem is how to realise the optimal service selection and composition. In this article, the comprehensive performance evaluation metrics for service-oriented manufacturing network is proposed, which combines the key performance indicators of services in business, service and implementation level. The performance evaluation model is brought forward to analyse the local and global performance. An uncertainty and genetic algorithm-based method is developed to realise the optimal service selection and composition in effective and efficient way.
Acknowledgements
This article was presented at DET2009 conference held at the University of Hong Kong during 14–16 December 2009 and was included in the conference proceedings published by Springer. The work of the article was granted by National Basic Research Program (973) of China (No. 2006CB705407), National Key Technology R&D Program of China (No. 2008BAH32B03-1), National High-Tech R&D Plan of China (No. 2009AA010308), Guangxi Natural Science Foundation (No. 2010GXNSFB013057), and HKSAR RGC GRF HKU712508E.