Abstract
Cloud Manufacturing and Manufacturing Grid represent top two newest implementations of Networked Manufacturing. This paper embeds Semantic Manufacturing Grid into cloud and then introduces a new concept, namely, Semantic Manufacturing Grid embedded Cloud (SMGeC). Service scheduling optimization as a core issue of SMGeC, is primarily achieved by service composition optimization. So firstly, a DAG based sub-job process model is defined, which predetermines the service process model for service composition optimization. Then, another determinant for service composition is QoS, which is usually carried by SLA. Customized QoS is designed for SMGeC’s SLA, along with its hierarchy used for weight designation resorting to FAHP. And then, the five-step procedure and its formalization of service scheduling optimization are discussed. Finally, an abnormal solution proof and time critical path based mathematical model of service composition optimization is proposed. Test shows that the methods and models proposed in this paper are positively feasible and efficient.
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Acknowledgments
This paper is supported by Shandong Province Natural Science Foundation (No.Q2008H01) (China), and Natural Science Basic Research Plan in Shaanxi Province of China (Program No. 2010K01-076).
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Zhang, L., Ding, F., Fang, Yd., Wu, Jy. (2013). Service Scheduling Optimization in the Next Generation Networked Manufacturing Systems. In: Qi, E., Shen, J., Dou, R. (eds) International Asia Conference on Industrial Engineering and Management Innovation (IEMI2012) Proceedings. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-38445-5_25
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DOI: https://doi.org/10.1007/978-3-642-38445-5_25
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