Abstract
Relatively new technologies such as sensor networks and automated identification, and increased computational power available through distributed computing offer the advantage of real-time monitoring of manufacturing resources and production orders. This work integrates the distributed manufacturing concept, largely used previously in constructs such as agent-based and holonic manufacturing systems with the new sensor network and distributed computing technologies embedded within the manufacturing system for condition monitoring and fault-recovery purposes. Failure, mode, and effects analysis method is also considered in the model. Through this integration the simulated operations of the proposed manufacturing enterprise model receive more visibility, flexibility, and agility and, ultimately, provide a sustainable enterprise model able to address in real-time the uncertainties of the manufacturing environment for the entire lifetime of the manufactured products, as well as the lifecycle of the manufacturing equipment.
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Mejjaouli, S., Babiceanu, R.F.: Distributed intelligent real-time condition monitoring and recovery system for sustainable manufacturing enterprises. In: Borangiu, T. (ed.) Service Orientation in Holonic and Multi-Agent Manufacturing and Robotics, pp. 55–64. AGIR Publishing House (2013)
Pereira, C.E., Carro, L.: Distributed Real-Time Embedded Systems: Recent Advances, Future Trends and Their Impact on Manufacturing Plant Control. Annual Reviews in Control 31(1), 81–92 (2007)
Stecke, K.E.: Design, Planning, Scheduling, and Control Problems of Flexible Manufacturing Systems. Annals of Operations Research 3(1-4), 3–12 (1985)
Van Brussel, H., Wyns, J., Valckenaers, P., Bongaerts, L., Peeters, P.: Reference Architecture for Holonic Manufacturing Systems: PROSA. Computers and Industry 37(3), 255–274 (1998)
Babiceanu, R.F., Chen, F.F., Sturges, R.H.: Framework for the Control of Automated Material-Handling Systems Using the Holonic Manufacturing Approach. International Journal of Production Research 42(17), 3551–3564 (2004)
Babiceanu, R.F., Chen, F.F.: Development and Applications of Holonic Manufacturing Systems: a Survey. Journal of Intelligent Manufacturing 17(1), 111–131 (2006)
Babiceanu, R.F., Chen, F.F., Sturges, R.H.: Real-time Holonic Scheduling of Material Handling Operations in a Dynamic Manufacturing Environment. Robotics and Computer Integrated Manufacturing 21(4-5), 328–337 (2005)
Zhang, X., Balasubramanian, S., Brennan, R.W., Norrie, D.H.: Design and Implementation of a Real-time Holonic Control System for Manufacturing. Information Sciences 127(1-2), 23–44 (2000)
Koomsap, P., Shaikh, N.I., Prabhu, V.V.: Integrated Process Control and Condition Based Maintenance Scheduler for Distributed Manufacturing Control Systems. International Journal of Production Research 43(8), 1625–1641 (2005)
Shaikh, N.I., Prabhu, V.V.: Monitoring and Prioritizing Alerts for Exception Analytics. International Journal of Production Research 47(10), 2785–2804 (2009)
Enright, J., Lewis, H., Ryan, A.: FMEA as applied to electronics manufacturing: a revised approach to develop a more and robust and optimised solution. In: Proceedings of the 23rd International Conference on Flexible Automation and Intelligent Manufacturing, Porto, Portugal (2013)
Lopez, C., Subias, A., Combacau, M.: An adapted FMEA-based approach for failure diagnosis in distributed architectures. In: Proceedings of the 17th IMACS World Congress, Paris, France (2005)
Sankar, N.R., Prabhu, B.S.: Modified approach for prioritisation of failures in a system failure mode and effects analysis. International Journal of Quality and Reliability Management 18(3), 324–335 (2001)
Chin, K.S., Wang, Y.M., Poon, G., Yang, J.B.: Failure mode and effects analysis using a group-based evidential reasoning approach. Computers and Operations Research 36(6), 1768–1779 (2009)
Babiceanu, R.F., Tudoreanu, M.E.: Incorporation of Sensor Networks into Holonic Enterprise Systems for Life-cycle Process Monitoring. In: Johnson, A., Miller, J. (eds.) Proceedings of the 2010 Industrial Engineering Research Conference, Miami, FL (2010)
Yang, G.: Life Cycle Reliability Engineering. John Wiley & Sons, Inc., Hoboken (2007)
Pecht, M.: Product Reliability, Maintainability and Supportability Handbook, 2nd edn. Taylor & Francis Group, LLC, Boca Raton, FL (2009)
Wessels, W.R.: Practical Reliability Engineering and Analysis for System Design and Life-Cycle Sustainment. Taylor & Francis Group, LLC, Boca Raton, FL (2010)
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Mejjaouli, S., Babiceanu, R.F. (2014). Holonic Condition Monitoring and Fault-Recovery System for Sustainable Manufacturing Enterprises. In: Borangiu, T., Trentesaux, D., Thomas, A. (eds) Service Orientation in Holonic and Multi-Agent Manufacturing and Robotics. Studies in Computational Intelligence, vol 544. Springer, Cham. https://doi.org/10.1007/978-3-319-04735-5_3
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DOI: https://doi.org/10.1007/978-3-319-04735-5_3
Publisher Name: Springer, Cham
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