11th EAI International Conference on Heterogeneous Networking for Quality, Reliability, Security and Robustness

Research Article

Facilities Collaboration in Cloud Manufacturing based on Generalized Collaboration Network

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  • @INPROCEEDINGS{10.4108/eai.19-8-2015.2260439,
        author={Wenxiang Li and Chunsheng Zhu and Edith Ngai and Laurence Yang and Lei Shu and Yuxia Sheng},
        title={Facilities Collaboration in Cloud Manufacturing based on Generalized Collaboration Network},
        proceedings={11th EAI International Conference on Heterogeneous Networking for Quality, Reliability, Security and Robustness},
        publisher={IEEE},
        proceedings_a={QSHINE},
        year={2015},
        month={9},
        keywords={social collaboration network complex networks cloud manufacturing scheduling clique degree distribution},
        doi={10.4108/eai.19-8-2015.2260439}
    }
    
  • Wenxiang Li
    Chunsheng Zhu
    Edith Ngai
    Laurence Yang
    Lei Shu
    Yuxia Sheng
    Year: 2015
    Facilities Collaboration in Cloud Manufacturing based on Generalized Collaboration Network
    QSHINE
    IEEE
    DOI: 10.4108/eai.19-8-2015.2260439
Wenxiang Li1,*, Chunsheng Zhu2, Edith Ngai3, Laurence Yang4, Lei Shu5, Yuxia Sheng1
  • 1: Wuhan University of Science and Technology
  • 2: University of British Columbia
  • 3: Uppsala University
  • 4: St. Francis Xavier University
  • 5: Guangdong University of Petrochemical Technology
*Contact email: liwx2006@hotmail.com

Abstract

In cloud manufacturing paradigm for regional industrial cluster, there is increasing necessity of collaboration among enterprises or facilities. It is valuable to explore the characteristics of these collaboration behaviors, so as to effectively schedule dispersed manufacturing facilities and organize their collaboration. The collaborative relation of manufacturing in regional industrial cluster can be described as a generalized social collaboration network. In this paper, we introduce the relevant entities and relations of facilities collaboration, propose the method for building Facility Collaboration Network (FCN), and design the dynamic growing process of FCN for different facility selection strategies, including random selection, balanced selection, random selection with preference and balanced selection with preference. Based on the indexes such as network scale, degree distribution, act degree distribution, average shortest distance and number of cliques, we exhibit the statistical characteristics of FCN, and analyze the features and laws for efficient facilities selection in cloud manufacturing.