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Service Model and Service Selection Strategies for Cross-regional Intelligent Manufacturing

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Industrial IoT Technologies and Applications (Industrial IoT 2016)

Abstract

Manufacturing plays an important role in the development of national economy. Intelligent manufacturing is the integration of modern business management model, information technology and the traditional manufacturing industry. This paper proposes to handle the following problems that intelligent manufacturing industry faced: (1) the problem of classification and composition of services of different granularity level, (2) the achieve of intelligent logistics over the cross-regional production process, (3) the need of an efficient and stable algorithm for services selection. To achieve cross-regional logistics intelligently and to provide service more intelligently, this paper classify services into five categories according to the level of granularity, and logistics services as the sixth. We design a service ontology based on owl. At last, we design a service selection mode based on the descent of granularity level and a peer service priority-based algorithm for service selection.

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Acknowledgments

This paper is supported by Science and Technology Planning Project of Guangdong Province, China (2014B090921007), Science and Technology Program of Guangzhou, China (20150810068), Science and Technology program of Haizhu District, China (2014-cg-02).

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Correspondence to Xinye Chen .

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© 2016 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

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Chen, X., Zhang, P., Liang, W., Li, F. (2016). Service Model and Service Selection Strategies for Cross-regional Intelligent Manufacturing. In: Wan, J., Humar, I., Zhang, D. (eds) Industrial IoT Technologies and Applications. Industrial IoT 2016. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 173. Springer, Cham. https://doi.org/10.1007/978-3-319-44350-8_21

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  • DOI: https://doi.org/10.1007/978-3-319-44350-8_21

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-44349-2

  • Online ISBN: 978-3-319-44350-8

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