Abstract
Multi-stage manufacturing, typical in important industrial sectors, is inherently a complex process. The application of the zero defect manufacturing (ZDM) philosophy, together with recent technological advances in cyber-physical systems (CPS), presents significant challenges and opportunities for the implementation of new methodologies towards the continuous system improvement. This paper introduces the main principles of a multi-agent CPS aiming the application of ZDM in multi-stage production systems, which is being developed under the EU H2020 GO0D MAN project. In particular, this paper describes the MAS architecture that allows the distributed data collection and the balancing of the data analysis for monitoring and adaptation among cloud and edge layers, to enable the earlier detection of process and product variability, and the generation of new optimized knowledge by correlating the aggregated data.
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References
Bellifemine, F., Caire, G., Greenwood, D.: Developing Multi-Agent Systems with JADE. Wiley (2007)
Electric, W.: Statistical Quality Control Handbook. Western Electric Corporation (1956)
Gryna, F., Chua, R., DeFeo, J.: Juran’s Quality Planning and Analysis, 5th edn. McGraw-Hill (2006)
Leitão, P., Rodrigues, N., Barbosa, J., Turrin, C., Pagani, A.: Intelligent products: the GRACE experience. Control Eng. Pract. 42, 95–105 (2015)
Leitão, P., Rodrigues, N., Turrin, C., Pagani, A.: Multi-agent system integrating process and quality control in a factory producing laundry washing machines. IEEE Trans. Ind. Inf. 11(4), 879–886 (2015)
Montgomery, D.C.: Introduction to Statistical Quality Control, 6th edn. Wiley (2009)
Shi, J.: Stream of Variation Modeling and Analysis for Multistage Manufacturing Processes. CRC Press (2007)
Shi, J., Zhou, S.: Quality control and improvement for multistage systems: a survey. IEEE Trans. 744–753 (2009)
Slack, N., Brandon-Jones, A., Johnston, R.: Operations Management, 7th edn. Pearson (2013)
Wang, K.S.: Towards zero-defect manufacturing (zdm)—a data mining approach. Adv. Manuf. 1(1), 62–74 (2013)
Wooldridge, M.: An Introduction to Multi-Agent Systems. Wiley (2002)
Acknowledgements
This work is part of the GO0D MAN project that has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement N\(^{\circ }\) 723764. ’
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Leitão, P., Barbosa, J., Geraldes, C.A.S., Coelho, J.P. (2018). Multi-agent System Architecture for Zero Defect Multi-stage Manufacturing. In: Borangiu, T., Trentesaux, D., Thomas, A., Cardin, O. (eds) Service Orientation in Holonic and Multi-Agent Manufacturing. Studies in Computational Intelligence, vol 762. Springer, Cham. https://doi.org/10.1007/978-3-319-73751-5_2
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DOI: https://doi.org/10.1007/978-3-319-73751-5_2
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