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A Few Descriptive and Optimization Issues on the Material Flow at a Research-Academic Institution: The Role of Simulation
Abstract:Lately, significant work in the area of Intelligent Manufacturing has become public and mainly applied within the frame of industrial purposes. Special efforts have been made in the implementation of new technologies, management and control systems, among many others which have all evolved the field. Aware of all this and due to the scope of new projects and the need of turning the existing flexible ideas into more autonomous and intelligent ones, i.e.: Intelligent Manufacturing, the present paper emerges with the main aim of contributing to the design and analysis of the material flow in either systems, cells or work stations under this new “intelligent" denomination. For this, besides offering a conceptual basis in some of the key points to be taken into account and some general principles to consider in the design and analysis of the material flow, also some tips on how to define other possible alternative material flow scenarios and a classification of the states a system, cell or workstation are offered as well. All this is done with the intentions of relating it with the use of simulation tools, for which these have been briefly addressed with a special focus on the Witness simulation package. For a better comprehension, the previous elements are supported by a detailed layout, other figures and a few expressions which could help obtaining necessary data. Such data and others will be used in the future, when simulating the scenarios in the search of the best material flow configurations.
Digital Object Identifier (DOI): doi.org/10.5281/zenodo.1328754Procedia APA BibTeX Chicago EndNote Harvard JSON MLA RIS XML ISO 690 PDF Downloads 1345
 Gausemeier, J. and Gehnen, G. (1998). Intelligent material flow by decentralized control networks. Journal of Intelligent Manufacturing. Volume 9, Number 2, 141-146, DOI: 10.1023/A: 1008815928799
 Kosturiak, J. &Gregor, M. (1998). FMS Simulation: Some Experience and Recommendations, Simulation Practice and Theory, Vol. 6, Issue 5, July 15, 1998, 423-442.
 Mudrikov├í, A., Delgado Sobrino, D. R. and Ko┼í┼Ñ├íl, P. (2010). Planning of material flow in flexible production systems. In: Annals of DAAAM and Proceedings of DAAAM Symposium. 20-23rd October 2010, Zadar, Croatia - ISSN 1726-9679. - Vol. 21, No 1.
 Vel├¡┼íek, K., ┼áebeňov├í, S., Ružarovsk├¢, R. (2010). Transport systems in flexible manufacturing. In I. Central European Conference on Logistics: 26 November 2010, Miskolc, Hungary. Miskolc: University of Miskolc, 2010, s. 5. ISBN 978-963-661-946-6.
 Xu, D. (2001). Hardware-based Parallel Simulation of Flexible Manufacturing Systems. Dissertation submitted to the Faculty of the Virginia Polytechnic Institute and State University, Blacksburg, Virginia.
 Heilala, J. (1999). Use of simulation in manufacturing and logistics systems planning. VTT Manufacturing Technology, Finland.
 Prasad Senniappan, A. (2001). Simulation in Flexible Manufacturing System. Department of Industrial and Management Systems Engineering. West Virginia University, Morgantown, WV-26505.
 Verma, R., Gupta, A. and Singh, K. (2009). A critical evaluation and comparison of four manufacturing simulation softwares. Kathmandu University Journal of Science, Engineering and Technology: vol. 5, no. i, January, 2009, pp 104- 120.
 Dani┼íov├í, N.; Ružarovsk├¢, R. & Vel├¡┼íek, K. (2012). Robotics System Design for Assembly and Disassembly Process. In WASET 67 2012
 Bozdana, T. (2012). Intelligent Manufacturing Systems. Introduction, definition and course outlines. Consulted on 30.09.2012. Available at: http://www1.gantep.edu.tr/~bozdana/ME534_1.pdf