Research Article
Service Model and Service Selection Strategies for Cross-regional Intelligent Manufacturing
@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
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.
