Approach to Creating Structures of Production Systems

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Contribution of presents a set of information related to modelling the structures of automated production systems. For the creation of integrated structures of production logistics system uses the principles in order to clarify and streamline in-plant material flow between different logistics nodes, including the relevant information flow, eg. throughintegrable and compatible handling and technological systems.

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198-203

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December 2014

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© 2015 Trans Tech Publications Ltd. All Rights Reserved

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[1] T.P. Meichsner, Migration Manufacturing – A New Concept for Automotive Body Production. inElMaraghy HA, (Ed. ) Changeable and Reconfigurable Manufacturing Systems. Springer, London, p.373–388, (2009).

DOI: 10.1007/978-1-84882-067-8_21

Google Scholar

[2] A. Matta, T. Tolio, F. Tontini, Tool Management in Flexible Manufacturing Systems with Network Part Program, International Journal of Production Research, 42(2004), 3707–3730.

DOI: 10.1080/00207540410001696005

Google Scholar

[3] C. Terwiesch, E.R. Bohn, Learning and Process Improvement During Production Ramp-up. International Journal of Production Economics, 70(2001), 1– 19.

DOI: 10.1016/s0925-5273(00)00045-1

Google Scholar

[4] F.M. Asl, A.G. Ulsoy, Stochastic optimal capacity management in reconfigurable manufacturing systems, CIRP Annals Manufacturing Technology 52(2003), 371–374.

DOI: 10.1016/s0007-8506(07)60604-0

Google Scholar

[5] A. Matta, M. Tomasella, A. Valente, Impact of ramp-up on the optimal capacity-related reconfiguration policy, International Journal of Flexible Manufacturing Systems 19(2007), 173–194.

DOI: 10.1007/s10696-007-9023-7

Google Scholar

[6] M. Mori, M. Fujishima, Reconfigurable machine tools for a flexible manufacturing system, in: ElMaraghy HA, (Ed. ) Changeable and Reconfigurable Manufacturing Systems. Springer, London, p.101–109, (2009).

DOI: 10.1007/978-1-84882-067-8_5

Google Scholar

[7] S. Mottura, G. Vigano, L. Greci, M. Sacco, E. Carpanzano, New challenges in collaborative virtual factory design. In: Azevedo A, (Ed. ) Innovation in Manufacturing Networks. Springer, Boston, p.17–24, (2008).

DOI: 10.1007/978-0-387-09492-2_2

Google Scholar

[8] M. Souza, M. Sacco, A. Porto Virtual manufacturing as a way for the factory of the future, Journal of Intelligent Manufacturing 17(2006), 725–735.

DOI: 10.1007/s10845-006-0041-1

Google Scholar

[9] H. Huang, P. Chuang, Specification, Modeling and control of a FMC. JPR, 30, (1992).

Google Scholar

[10] M. Kováč, J. Kováč, Inovačné projektovanie výrobných procesov a systémov. Košice, TUKE, (2011).

Google Scholar

[11] P. Pernica, Logistika pro 21. století, RADIX, Praha (2005).

Google Scholar

[12] T. Tolio, D. Ceglarek, H. A. Elmaraghy, A. Fischer, S. J. Hu, L. Laperriere, S. T. Newman, J. Vancza, SPECIES-Co-evolution of products, processes and production systems. CIRP Annals - Manufacturing Technology, 59 (2010), 672-693.

DOI: 10.1016/j.cirp.2010.05.008

Google Scholar

[13] Š. Valenčík, Integrovaná manipulácia v automatizovanej výrobe, Logistika 12/03, Praha (2003).

Google Scholar

[14] Š. Valenčík, Logistika, technika materiálového toku a integrácia vovýrobných sústavách, AT&P Journal 9/2004, Bratislava (2004).

Google Scholar

[15] Š. Valenčík, Metodika obnovy strojov. Košice. EVaOLStrojníckafakulta TU Košice, Košice (2011).

Google Scholar

[16] Š. Valenčík, Aktuálne témy z údržby strojov. ATP Journal 11(2013).

Google Scholar

[17] P. Vichare, A. Nassehi, S. Newman, A unified manufacturing resource model for representation of computerized numerically controlled machine tools, in: Proceedings of the Institution of Mechanical Engineers Part B Journal of Engineering Manufacture 223(2009).

DOI: 10.1243/09544054jem1363

Google Scholar

[18] A Valente, E Carpanzano, A Nassehi, S Newman, A STEP compliant knowledge based schema to support shop-floor adaptive automation in dynamic manufacturing environments, CIRP Annals Manufacturing Technology 59, 441–444.

DOI: 10.1016/j.cirp.2010.03.091

Google Scholar

[19] J. Vancza, P. Egri, L. Monostori, a coordination mechanism for rolling horizon planning in supply networks, CIRP Annals Manufacturing Technology 57(2008), 455–458.

DOI: 10.1016/j.cirp.2008.03.105

Google Scholar

[20] W. Terkaj, T. Tolio, A. Valente, Designing Manufacturing Flexibility in Dynamic Production Contexts, in: Tolio T, (Ed. ) Design of Flexible Production Systems. Springer, Berlin/Heidelberg, p.1–18, (2009).

DOI: 10.1007/978-3-540-85414-2_1

Google Scholar

[21] W. Terkaj, T. Tolio, A Stochastic Approach to the FMS Loading Problem, CIRP Journal of Manufacturing Systems 35(2006), 481–490.

Google Scholar

[22] G. Wullink, Resource Loading Under Uncertainty, Ph.D. Thesis, Beta Research School for Operations Management and Logistics, (2005).

Google Scholar