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Characteristics analysis and optimization design of entities collaboration for cloud manufacturing
Author(s) -
Li Wenxiang,
Zhu Chunsheng,
Wei Xia,
Rodrigues Joel J.P.C.,
Wang Kun
Publication year - 2016
Publication title -
concurrency and computation: practice and experience
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.309
H-Index - 67
eISSN - 1532-0634
pISSN - 1532-0626
DOI - 10.1002/cpe.3948
Subject(s) - cloud manufacturing , cloud computing , selection (genetic algorithm) , cluster analysis , computer science , node (physics) , preference , cluster (spacecraft) , process (computing) , production (economics) , process management , operations research , business , engineering , artificial intelligence , computer network , mathematics , statistics , structural engineering , economics , macroeconomics , operating system
Summary By applying the cloud manufacturing paradigm in the regional enterprise cluster, the enterprises or facilities may collaborate extensively for efficiently utilizing the manufacturing resources. It is valuable to explore and design the strategies of facilities selection for the autonomic control of the collaboration behaviors in production. In this paper, we model the collaboration relations in the regional enterprise cluster as a generalized social collaboration network and explore the dynamic growth process of the Facilities Collaboration Network for different strategies of facilities selection, including the random selection with and without preference, and the balanced selection with and without preference. With performance indexes such as network size, the distribution of node degree and act degree, clustering coefficient, the average shortest distance, and the number of n ‐cliques, we present and analyze the characteristics of these strategies for cloud manufacturing. Next, based on these characteristics, we propose 2 mechanisms for self‐optimization in facilities collaboration, including the dynamic weighing of facilities and the concentrated processing of successive subtasks in the process. We also analyze the mechanisms' effects on the characteristics of Facilities Collaboration Network and the performance in manufacturing. Copyright © 2016 John Wiley & Sons, Ltd.