Abstract
Capacity adjustment by using reconfiguration machine tools (RMTs) is one approach to deal with customers rapidly changing demands. However, disturbances (e.g. rushed orders and machine broke down) and delays (e.g. transportation delay and reconfiguration delay) are great challenge for the manufacturers. In order to deal with these problems, we propose an operator-based robust right coprime factorization (RRCF) method to improve the capacity control process of job shop systems. We illustrate the applicability of this approach by simulation results of a four-workstation job shop system are given to support the efficiency of the proposed method.
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References
Scholz-Reiter, B., Lappe, D., Grundstein, S.: Capacity adjustment based on reconfigurable machine tools harmonising throughput time in job-shop manufacturing. CIRP Ann. Manufact. Technol. 64(1), 403–406 (2015)
Kim, J., Duffie, N.: Design and analysis of closed-loop capacity control for a multi-workstation production system. CIRP Ann. Manufact. Technol. 54(1), 455–458 (2005)
Liu, P., Zhang, Q., Pannek, J.: Capacity adjustment of job shop manufacturing systems with RMTs. In: Proceedings of the 10th International Conference on Software, Knowledge, Information Management and Application (2016)
Zhang, Q., Liu, P., Pannek, J.: Modeling and predictive capacity adjustment for job shop systems with RMTs. In: Proceedings of the 25th Mediterranean Conference on Control and Automation, pp. 310–315 (2017)
Chen, G., Han, Z.: Robust right coprime factorization and robust stabilization of nonlinear feedback control systems. IEEE Trans. Autom. Control 43(10), 1505–1509 (1998)
Liu, P., Pannek, J.: Modelling and controlling of multi-workstation job shop manufacturing systems with RMTs. In: 6th CUST International Business Research Conference (2017, accepted)
Deng, M., Inoue, A., Ishikawa, K.: Operator-based nonlinear feedback control design using robust right coprime factorization. IEEE Trans. Autom. Control 51(4), 645–648 (2006)
Wen, S., Liu, P., Wang, D.: Optimal tracking control for a peltier refrigeration system based on PSO. In: 2014 International Conference on Advanced Mechatronic Systems, pp. 567–571 (2014)
Deng, M., Inoue, A.: Networked non-linear control for an aluminum plate thermal process with time-delays. Int. J. Syst. Sci. 39(11), 1075–1080 (2008)
Bi, S., Deng, M., Wen, S.: Operator-based output tracking control for non-linear uncertain systems with unknown time-varying delays. IET Control Theory Appl. 5(5), 693–699 (2011)
Deng, M., Bi, S.: Operator-based robust nonlinear control system design for MIMO nonlinear plants with unknown coupling effects. Int. J. Control 83(9), 1939–1946 (2010)
Bi, S., Xiao, Y., Fan, X.: Operator-based robust decoupling control for MIMO nonlinear systems. In: The 11th World Congress on Intelligent Control and Automation, pp. 2602–2606 (2014)
Grüne, L., Pannek, J.: Nonlinear Model Predictive Control: Theory and Algorithms, 2nd edn. Springer, London (2017)
Acknowledgment
The research project is funded by the Fusion program of ERASMUS MUNDUS.
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Liu, P., Pannek, J. (2018). Operator-Based Capacity Control of Job Shop Manufacturing Systems with RMTs. In: Freitag, M., Kotzab, H., Pannek, J. (eds) Dynamics in Logistics. LDIC 2018. Lecture Notes in Logistics. Springer, Cham. https://doi.org/10.1007/978-3-319-74225-0_36
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DOI: https://doi.org/10.1007/978-3-319-74225-0_36
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