Title of article :
Determining the Optimal Performance of Flexible Manufacturing Systems using Network Analysis and Simulation Process
Author/Authors :
Ebrahimi، Ainaz نويسنده Graduate student, Industrial Engineering Department, Islamic Azad University, Najafabad Branch,Iran Ebrahimi, Ainaz , Sajadi، Seyed Mojtaba نويسنده Assistant Professor, Faculty of Entrepreneurship, University of Tehran, Tehran, Iran Sajadi, Seyed Mojtaba , Roshanzamir، Parviz نويسنده Graduate student, Islamic Azad University, Bojnourd Branch, Iran Roshanzamir, Parviz , Azizi، Mohammad نويسنده Department of Andrology, Reproductive Biomedicine Research Center, Royan Institute for Reproductive Biomedicine, ACECR, Tehran, Iran ,
Issue Information :
روزنامه با شماره پیاپی 0 سال 2015
Pages :
6
From page :
12
To page :
17
Abstract :
Global competition in the manufacturing industry with aims to increase diversity of products, reduce product delivery time and customer satisfaction, improve quality and reduce production costs, is increasingly growing. Faced with these multiple issues, new technologies that support automation and flexibility, have been made. In this regard, the use of flexible systems in products and production processes has been emphasized. Proper functioning of such systems requires good management factors, therefore, this study aims is to determine the optimal level of performance. In the first phase of the study, the main factors affecting the performance of the prioritization and selection is paramount when considering an overview of the process of network analysis, to determine the best factor is used. Our results indicate that the use of these methods will help to significantly advance manufacturing systems. Because plant managers focused on the main plot, they can reach an optimal level of performance and other achievement such as increase revenue and reduce costs will have for manufacturing industries.
Journal title :
International Journal of Economy, Management and Social Sciences
Serial Year :
2015
Journal title :
International Journal of Economy, Management and Social Sciences
Record number :
1985221
Link To Document :
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