6th Annual International Conference on Industrial Engineering and Operations Management

SOCIAL NETWORK ANALYSIS BASED EVOLUTIONARY ALGORITHIMIC APPROACH TO IDENTIFY THE INFLUENCE OF HUBS ON FLEXIBLE SCHEDULING PROBLEMS

VIJAYAKUMAR MANUPATI
Publisher: IEOM Society International
0 Paper Citations
1 Views
1 Downloads
Track: Manufacturing and Design
Abstract

The Flexible and Dynamic Job Shop Scheduling (FJSSP and DJSSP) have explicit benefits in the new age customized manufacturing environment by ways to efficaciously minimize the maximal completion of all operations on the machines for the efficient performance of the system. This paper seeks to utilize an approach called Social Network Analysis Method (SNAM) to evaluate the identified key machines in FJSSP and DJSSP using Social Network Analysis as a tool and analyzing their impact on the manufacturing system performance. Considering the two important Job Shop Scheduling problems, we propose to build their mathematical models with respect to the constraints and a framework of SNAM to generate the collaboration networks.  The collaboration networks are obtained by transforming the input data and presenting it in the form of an affiliation matrix using network analysis software packages. Eventually, we conducted various tests to analyze the collaboration networks for identifying the key machines whose effectiveness and stability has been determined by multi-objective based hybrid NSGA-II algorithm.

Published in: 6th Annual International Conference on Industrial Engineering and Operations Management, Kuala Lumpur, Malaysia

Publisher: IEOM Society International
Date of Conference: March 8-10, 2016

ISBN: 978-0-9855497-4-9
ISSN/E-ISSN: 2169-8767