Workload Assessment for a Sustainable Manufacturing Paradigm Using Social Network Analysis Method-Reference-Cited by-同舟云学术

Workload Assessment for a Sustainable Manufacturing Paradigm Using Social Network Analysis Method

Published:2018 Issue: Volume: Page:99-108
ISSN:
Container-title:Knowledge Computing and Its Applications
language:
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Author:

Manupati V. K.,Xavior M. Anthony,Chandra Akshay,Ahsan Muneeb

Publisher

Springer Singapore

Link

http://link.springer.com/content/pdf/10.1007/978-981-10-6680-1_5

Reference11 articles.

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2. Hao, L., Gebraeel, N., & Shi, J. (2015). Simultaneous signal separation and prognostics of multi-component systems: the case of identical components. IIE Transactions, 47(5), 487–504.

3. Hao, L., Liu, K., Gebraeel, N., & Shi, J. (2015). Controlling the residual life distribution of parallel unit systems through workload adjustment. IEEE Transactions on Automation Science and Engineering.

4. Bonacich, P. (2007). Some unique properties of eigenvector centrality. Social Networks, 29(4), 555–564.

5. Wasserman, S., & Faust, K. (1994). Social network analysis: Methods and applications (Vol. 8). Cambridge: Cambridge university press.

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