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Fundamentals of Polymers and Polymer Composite Read chapter Read first chapter

2015 | OriginalPaper | Chapter

96. Resource Scalability in Networked Manufacturing System: Social Network Analysis Based Approach

Authors : Vijaya Kumar Manupati, Goran Putnik, Manoj Kumar Tiwari

Published in: Handbook of Manufacturing Engineering and Technology

Publisher: Springer London

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Abstract

This paper seeks to address an approach called the social network analysis method (SNAM) to evaluate the effect of resource scalability on networked manufacturing system. Considering the case of networked manufacturing mode, we have proposed a framework of SNAM for generating the collaborative networks. The collaborative networks have been obtained by transferring the input data in the form of an affiliation matrix to the UCINET and Netdraw software packages. Subsequently, we have conducted various tests to analyze the collaborative networks for finding the network structure, size, complexity and its functional properties. In this paper, a social network based greedy k-plex algorithm has been applied to evaluate the scalability effect on different data sets of networked manufacturing system. Experimental studies have been conducted and comparisons have been made to demonstrate the efficiency of the proposed approach.

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Metadata
Title
Resource Scalability in Networked Manufacturing System: Social Network Analysis Social network analysis Based Approach
Authors
Vijaya Kumar Manupati
Goran Putnik
Manoj Kumar Tiwari
Copyright Year
2015
Publisher
Springer London
Book
Handbook of Manufacturing Engineering and Technology

Print ISBN: 978-1-4471-4669-8

Electronic ISBN: 978-1-4471-4670-4

Copyright Year: 2015

DOI
https://doi.org/10.1007/978-1-4471-4670-4_116

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