Title | ||
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Manufacturing service composition model based on synergy effect: A social network analysis approach. |
Abstract | ||
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•Consider collaboration capacity as a critical competitive factor for service evaluation and selection.•Define and extract five types of service social relationships, and quantify service synergy effect from the perspective of relation strength.•Develop a novel service selection optimization model based on synergy effect.•The results of simulation experiment have proved the validity and advantages of our model and algorithm. |
Year | DOI | Venue |
---|---|---|
2018 | 10.1016/j.asoc.2018.05.039 | Applied Soft Computing |
Keywords | Field | DocType |
Service composition,Service social network,Social relationship,Synergy effect | Cloud manufacturing,Social network,Business process,Social network analysis,Quality of service,Artificial intelligence,Database transaction,Machine learning,Mathematics,Social collaboration,Process management,Cloud computing | Journal |
Volume | ISSN | Citations |
70 | 1568-4946 | 1 |
PageRank | References | Authors |
0.36 | 26 | 3 |
Name | Order | Citations | PageRank |
---|---|---|---|
Ming-Lun Ren | 1 | 15 | 4.18 |
Lei Ren | 2 | 6 | 7.57 |
Hemant K. Jain | 3 | 300 | 33.94 |