{"title":"Distributed Manufacturing (DM) - Smart Units and Collaborative Processes","authors":"Hermann Kuehnle","volume":100,"journal":"International Journal of Computer and Systems Engineering","pagesStart":1246,"pagesEnd":1258,"ISSN":"1307-6892","URL":"https:\/\/publications.waset.org\/pdf\/10001107","abstract":"
Applications of the Hausdorff space and its mappings
\r\ninto tangent spaces are outlined, including their fractal dimensions
\r\nand self-similarities. The paper details this theory set up and further
\r\ndescribes virtualizations and atomization of manufacturing processes.
\r\nIt demonstrates novel concurrency principles that will guide
\r\nmanufacturing processes and resources configurations. Moreover,
\r\nvarying levels of details may be produced by up folding and breaking
\r\ndown of newly introduced generic models. This choice of layered
\r\ngeneric models for units and systems aspects along specific aspects
\r\nallows research work in parallel to other disciplines with the same
\r\nfocus on all levels of detail. More credit and easier access are granted
\r\nto outside disciplines for enriching manufacturing grounds. Specific
\r\nmappings and the layers give hints for chances for interdisciplinary
\r\noutcomes and may highlight more details for interoperability
\r\nstandards, as already worked on the international level. The new rules
\r\nare described, which require additional properties concerning all
\r\ninvolved entities for defining distributed decision cycles, again on the
\r\nbase of self-similarity. All properties are further detailed and assigned
\r\nto a maturity scale, eventually displaying the smartness maturity of a
\r\ntotal shopfloor or a factory. The paper contributes to the intensive
\r\nongoing discussion in the field of intelligent distributed
\r\nmanufacturing and promotes solid concepts for implementations of
\r\nCyber Physical Systems and the Internet of Things into
\r\nmanufacturing industry, like industry 4.0, as discussed in German-speaking
\r\ncountries.<\/p>\r\n","references":"[1] VDI\/VDE (2013), Thesen und Handlungsfelder, Cyber-Physical\r\nSystems: Chancen und Nutzen aus Sicht der Automation, Verein\r\nDeutscher Ingenieure e.V. VDI\/VDE-Gesellschaft Mess- und\r\nAutomatisierungstechnik (GMA), April 2013 (in German)\r\n[2] Meier, M., Seidelmann, J., Mezg\u00e1r, I. (2010), ManuCloud: The nextgeneration\r\nmanufacturing as a service environment, European Research\r\nConsortium for Informatics and Mathematics News, 2010\r\n[3] Yang, H. Ch. (2010), Cloud manufacturing is a manufacturing service,\r\nChina Manufacturing Information, No.2, 2010, pp.22-23.\r\n[4] Wan, J., Chen, M., Xia, F., Li, D., Zhou, K. (2013) From Machine-to-\r\nMachine Communications towards Cyber-Physical Systems ComSIS\r\nVol. 10, No. 3, June 2013\r\n[5] Kuehnle, H. (2010) (Ed.), Distributed Manufacturing \u2013 Paradigms,\r\nConcepts, Solutions and Examples, Springer, London [6] Lee, E. A. (2008), Cyber physical systems: Design challenges, In:\r\nISORC \u201908, Proceedings of the 11th IEEE Symposium on Object\r\nOriented Real-Time Distributed Computing, IEEE Computer Society,\r\nWashington, DC, USA, pp363\u2013369\r\n[7] CERP-IoT (2009), Internet of Things Strategic Research Roadmap 15\r\nSEPTEMBER, 2009, CERP-IoT, SRA Information Desk European\r\nCommission - Information Society and Media DG\r\n[8] Catanzaro, B., Fox, A., Keutzer, K., Patterson, D., Yiing Su, B., Snir,\r\nM., Olukotun, K., Hanrahan, P., Chafi, H. (2011), Ubiquitous Parallel\r\nComputing from Berkeley, Illinois and Stanford, White Paper\r\n[9] Kortuem, G., Kawsar, F., Fitton, D., Sundramoorthy, V. (2010), Smart\r\nObjects as Building Blocks for the Internet of Things, IEEE Internet\r\nComputing, vol. 14, no. 1, Jan.\/Feb. 2010, pp. 44-51.\r\n[10] Kuehnle, H. (2012), Towards Production Network (PN) Theory:\r\nContributions from Systems of Models, Concurrent Enterprising and\r\nDistributed Manufacturing, International Journal of E-Business\r\nDevelopment, 2(2), 53\u201361\r\n[11] Kawsar, F., Nakajima, T. (2009) A Document Centric Framework for\r\nBuilding Distributed Smart Object Systems, IEEE International\r\nSymposium on Object\/Component\/Service-Oriented Real-Time\r\nDistributed Computing,\u201d Tokyo, 17-20 March 2009, pp. 71-79\r\n[12] Kuehnle, H. (2014) Smart Equipment and Virtual Resources trigger\r\nNetwork Principles in Manufacturing, MOIME proc. 2014, Jakarta\r\n[13] Kosanke, K. (2006), Interoperability of Enterprise Software and\r\nApplications, in: Konstantas et al (Eds.), Springer 2006\r\n[14] Alt, R., Smits, M. (2007) Networkability of Organizations and Business\r\nNetworks, ECIS2007, Eds. \u00d6sterle, Schelp, Winter, St.Gallen, pp119-\r\n130\r\n[15] Piedade R. F., Azevedo, A., Almeida, A., (2012), Alignment prediction\r\nin collaborative networks, Journal of Manufacturing Technology\r\nManagement, Vol. 23 Iss: 8, pp.1038 \u2013 1056\r\n[16] Serral, E., Valders, P., Pelechano, V. (2008) Ubiquitous Intelligence and\r\nComputing, 5th International Conference, UIC 2008, Oslo, Norway,\r\nJune 23-25, 2008, Proceedings 01\/2008\r\n[17] Schwartz, T, Kahl, G., Applin, S-A, Dim, E. (2013) IUI 2013 3rd\r\nWorkshop on Location Awareness for Mixed and Dual Reality\r\n(LAMDa\u201913), IUI\u201913 Companion, March 19\u201322, 2013, Santa Monica,\r\nCA, USA, ACM 978-1-4503-1966-9\/13\/03 pp.115ff\r\n[18] IEEE (1990), IEEE (Institute of Electrical and Electronics Engineers):\r\nStandard Computer Dictionary - A Compilation of IEEE Standard\r\nComputer Glossaries\r\n[19] Prekop, P., Burnett, M. (2003) Activities, context and ubiquitous\r\ncomputing, Special Issue on Ubiquitous Computing Computer\r\nCommunications, Vol. 26, No. 11, pp.1168\u20131176\r\n[20] Krajewski, J., (2014) Situational Awareness - The Next Leap in\r\nIndustrial Human Machine Interface Design, White paper, Invensys\r\nSystems, Houston, USA\r\n[21] Kuehnle, H. Dekkers, R. (2012), Some thoughts on Interdisciplinarity in\r\nCollaborative Networks' Research and Manufacturing Sciences, Journal\r\nof Manufacturing Technology Management, Emerald, Bd. 23, 2012, 8,\r\npp961-975\r\n[22] Kuehnle, H. (2006), A model system approach to distributed\r\nmanufacturing, Proceedings of CamSIM 2006, Managing Global\r\nManufacturing and Supply Networks, Cambridge\r\n[23] Ueda, K., Hatono, I., Fujii, N., Vaario, J. (2000), Reinforcement learning\r\napproaches to biological manufacturing systems, CIRP Annals \u2013\r\nManufacturing Technology, Vol. 49, No 1, 2000, pp 343-346\r\n[24] Bongard, J. (2009), Biologically Inspired Computing, IEEE Computer,\r\nApril 2009, pp 95-98\r\n[25] Lau, K.-K., Faris, M. (2007), Data Encapsulation in Software\r\nComponents, in: H.W. Schmidt et al. (Eds.), CBSE 2007, LNCS 4608,\r\npp. 1\u201316, Springer Berlin\r\n[26] Goldstein, J. (1999), Emergence as a Construct: History and Issues,\r\nEmergence: Complexity and Organization 1 (1) pp49\u201372\r\n[27] Davis, J., Edgar, T. (2011) Smart Manufacturing as a Real-Time\r\nNetworked Information Enterprise, SMLC (501c6),\r\nhttps:\/\/smartmanufacturingcoalition.org","publisher":"World Academy of Science, Engineering and Technology","index":"Open Science Index 100, 2015"}