Integrated Monitoring System of Production Processes

Open access

Abstract

Integrated monitoring system for discrete manufacturing processes is presented in the paper. The multilayer hardware and software reference model was developed. Original research are an answer for industry needs of the integration of information flow in production process. Reference model corresponds with proposed data model based on multilayer data tree allowing to describe orders, products, processes and save monitoring data. Elaborated models were implemented in the integrated monitoring system demonstrator developed in the project. It was built on the base of multiagent technology to assure high flexibility and openness on applying intelligent algorithms for data processing. Currently on the base of achieved experience an application integrated monitoring system for real production system is developed. In the article the main problems of monitoring integration are presented, including specificity of discrete production, data processing and future application of Cyber-Physical-Systems. Development of manufacturing systems is based more and more on taking an advantage of applying intelligent solutions into machine and production process control and monitoring. Connection of technical systems, machine tools and manufacturing processes monitoring with advanced information processing seems to be one of the most important areas of near future development. It will play important role in efficient operation and competitiveness of the whole production system. It is also important area of applying in the future Cyber-Physical-Systems that can radically improve functionally of monitoring systems and reduce the cost of its implementation.

[1] Oborski P., Transformation of production companies [in Polish: Przemiany zachodzące w przedsiębiorstwach produkcyjnych], Inżynieria Maszyn, 17, 1, 7–16, 2012.

[2] Mason R., Lalwani C., Mass customised distribution, Int. J. Production Economics, 114, 71–83, 2008.

[3] Coe N., Hess M., Global production networks, labour and development, Geoforum, 44, 4–9, 2013.

[4] Oborski P., Developments in integration of advanced monitoring systems, The International Journal of Advanced Manufacturing Technology, 75, 9–12, 1613–1632, 2014.

[5] Wang L., Wise-Shop Floor: an integrated approach for web-based collaborative manufacturing, IEEE Transactions on Systems, Man, and Cybernetics – Part C: Applications and Reviews, 38, 4, 562–573, 2008.

[6] Nagalingam S., Lin G., CIM – still the solution for manufacturing industry, Robot Comput. Integr. Manuf., 24, 332–344, 2008.

[7] National Science Foundation, Cyber-Physical Syst., www.nsf.gov/funding/pgmsumm.jsp?pims_id=50-3286

[8] Park K.-J., Zheng R., Liu X., Cyber-physical systems Milestones and research challenges, Computer Communications, 36, 1–7, 2012.

[9] Wavering A.J., Foundation for Innovation: Strategic R&D Opportunities for 21th Century Cyber-Physical Systems, National Instution for Standardisation and Technology, Report January 2013.

[10] Yang L.R., Key practices, manufacturing capability and attainment of manufacturing goals: the perspective of project/engineer-to-order manufacturing, Int. J. Proj. Manag., 31, 1, 109–125, 2013.

[11] Herron C., Hicks C., The transfer of selected lean manufacturing techniques from Japanese automotive manufacturing into general manufacturing (UK) through change agents, Robotics and Computer-Integrated Manufacturing, 24, 524–531, 2008.

[12] Mourtzis D., Internet based collaboration in the manufacturing supply chain, CIRP Journal of Manufacturing Science and Technology, 4, 296–304, 2011.

[13] Oborski P., Directions of development of machining process monitoring [in Polish: Kierunki rozwoju zintegrowanych systemów monitorowania procesów obróbki skrawaniem], Mechanik, 8–9, 591–598/738, 2014.

[14] Van Veen-Dirks P., Management control and the production environment: A review, Int. J.Production Economics, 93–94, 263–272, 2005.

[15] Byrne G., Dornfeld D., Inasaki I., Konig W., Teti R., Tool Condition Monitoring – The Status of Research and Industrial Application, CIRP Annals, 44, 2, 541–567, 1995.

[16] Teti R., Jemielniak K., O’Donnell G., Dornfeld D., Advanced monitoring of machining operations, CIRP Annals – Manufacturing Technology, 59, 717–739, 2010.

[17] Leitao P., Agent-based distributed manufacturing control: A state-of-the-art survey, Engineering Applications of Artificial Intelligence, 22, 979–991, 2009.

[18] Oborski P., Integration of process and machine tool supervision on the base of advanced IT systems [in Polish: Integracja nadzoru procesu i obrabiarki w oparciu o zaawansowane systemy informatyczne], Mechanik, 8–9, 411–418/714, 2013.

[19] Karnouskos S., Colombo A.W., Architecting the next generation of service-based SCADA/DCS system of systems, Proc. of the 37th IEEE Annual Conf. on Industrial Electronics (IECON’11), Melbourne, Australia, 2011.

[20] ZuDe Z., Quan L., QingSong A., Cheng X., Intelligent monitoring and diagnosis for modern mechanical equipment based on the integration of embedded technology and FBGS technology, Measurement, 44, 1499–1511, 2011.

[21] Huismana M., Iivari J., Deployment of systems development methodologies: Perceptual congruence between IS managers and systems developers, Information & Management, 43, 29–49, 2006.

[22] Desforges X., Archimede B., Multi-agent framework based on smart sensors/actuators for machine tools control and monitoring, Eng. Appl. Artif. Intell., 19, 6, 641–655, 2006.

[23] Mangina E., McArthur S., McDonald J., Moyes A., A multi agent system for monitoring industrial gas turbine start-up sequences, IEEE Transactions on Power Systems, 16, 396–401, 2001.

[24] Liu C., Li Y., Shen W., Integration of process monitoring and inspection based on agents and manufacturing features, Proceedings of the 2014 IEEE 18th International Conference on Computer Supported Cooperative Work in Design, pp. 208–213, 2014.

[25] Oborski P., Multiagent Shop Floor Control, Advances in Manufacturing Science and Technology, 34, 3, 61–72, 2010.

[26] Barbati M., Bruno G., Genovese A., Applications of agent-based models for optimization problems: A literature review, Expert Systems with Applications, 39, 6020–6028, 2012.

[27] Laplante P.A., Real-Time Systems Design and Analysis, John Wiley & Sons, 2004.

[28] Oborski P., Man-machine interactions in advanced manufacturing systems, The International Journal of Advanced Manufacturing Technology, 23, 227–232, 2004.

[29] Martinsena K., Holtskoga H., Larssona C.E., Social Aspects of Process Monitoring in Manufacturing Systems, 45th CIRP Conference on Manufacturing Systems, Proced. CIRP, 3, 567–572, 2012.

[30] Oborski P., Social-technical aspects in modern manufacturing, The International Journal of Advanced Manufacturing Technology, 22, 11&12, 848–854, 2003.

[31] Mrugalska B., Needs for Safety Integration in Robust Design, Advances in Social and Organizational Factors, AHFE Conference, pp. 260–266, 2014.

Management and Production Engineering Review

The Journal of Production Engineering Committee of Polish Academy of Sciences and Polish Association for Production Management

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CiteScore 2016: 0.48

SCImago Journal Rank (SJR) 2016: 0.126
Source Normalized Impact per Paper (SNIP) 2016: 0.551

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