Industrial IoT Technologies and Applications. International Conference, Industrial IoT 2016, GuangZhou, China, March 25-26, 2016, Revised Selected Papers

Research Article

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

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  • @INPROCEEDINGS{10.1007/978-3-319-44350-8_21,
        author={Xinye Chen and Ping Zhang and Weile Liang and Fang Li},
        title={Service Model and Service Selection Strategies for Cross-regional Intelligent Manufacturing},
        proceedings={Industrial IoT Technologies and Applications. International Conference, Industrial IoT 2016, GuangZhou, China, March 25-26, 2016, Revised Selected Papers},
        proceedings_a={INDUSTRIALIOT},
        year={2016},
        month={9},
        keywords={Service model Intelligent manufacturing Web ontology language},
        doi={10.1007/978-3-319-44350-8_21}
    }
    
  • Xinye Chen
    Ping Zhang
    Weile Liang
    Fang Li
    Year: 2016
    Service Model and Service Selection Strategies for Cross-regional Intelligent Manufacturing
    INDUSTRIALIOT
    Springer
    DOI: 10.1007/978-3-319-44350-8_21
Xinye Chen1,*, Ping Zhang1, Weile Liang1, Fang Li1
  • 1: South China University of Technology
*Contact email: i_lvorange@163.com

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.