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Design of a Monitoring and Rescheduling System for Steelmaking-Continuous Casting Production

Volume 14, Number 12, December 2018, pp. 3076-3086
DOI: 10.23940/ijpe.18.12.p17.30763086

Bailin Wanga,b, Haifeng Wanga,b, and Tieke Lia,b

aDonlinks School of Economics and Management, University of Science and Technology Beijing, Beijing, 100083, China
bEngineering Research Center of MES Technology for Iron & Steel Production, Ministry of Education, Beijing, 100083, China

(Submitted on September 11, 2018; Revised on October 15, 2018; Accepted on November 17, 2018)

Abstract:

A monitoring and rescheduling system for steelmaking and continuous casting (SCC) production is studied with the consideration of three functions as simulation, monitoring, and rescheduling. To classify the knowledge and enhance knowledge reusability, modularity knowledge management is used in this system. In this system, the monitoring and rescheduling knowledge of the SCC production are organized into a two-level tree construction, and a combination of object-oriented and rule-based representations is applied. Moreover, based on the characteristics of monitored disturbances, we present two rescheduling methods named time adjustment and machine reassignment. The former is designed for disturbances with weak influence by utilizing reserved times and flexible factors in the SCC production. The latter reassigns machines based on unused capacities of machines to eliminate serious disturbances. Simulation results demonstrate the proposed rescheduling algorithms are feasible and effective, and the system has well real-time capability to maintain the stability and continuity of SCC production.

 

References: 15

                    1. S. Jiang, M. Liu, J. Hao, and W. Qian, “A Bi-Layer Optimization Approach for a Hybrid Flow Shop Scheduling Problem Involving Controllable Processing Times in the Steelmaking Industry,” Computers & Industrial Engineering, Vol. 87, pp. 518-531, 2015
                    2. K. Mao, Q. K. Pan, X. Pang, and T. Chai, “A Novel Lagrangian Relaxation Approach for a Hybrid Flowshop Scheduling Problem in the Steelmaking-Continuous Casting Process,” European Journal of Operational Research, Vol. 236, No.1, pp. 51-60, 2014
                    3. Y. Tan and S. Liu, “Models and Optimization Approaches for Scheduling Steelmaking-Refining-Continuous Casting Production Under Variable Electricity Price,” International Journal of Production Research, Vol. 52, No. 4, pp. 1032-1049, 2014
                    4. C. Zhang, T. Li, B. Wang, W. Zhang, and B. Sun, “Dynamic Modeling Method for the Scheduling Problem in Steelmaking-Continuous Casting with Disturbance of Product Quality,” Energy Procedia, Vol. 13, pp. 253-261, 2011
                    5. S. Yu and Q. Pan, “A Rescheduling Method for Operation Time Delay Disturbance in Steelmaking and Continuous Casting Production Process,” International Journal of Iron and Steel Research, Vol. 19, No. 12, pp. 33-41, 2012
                    6. K. Mao, Q. K. Pan, X. Pang, and T. Chai, “An Effective Lagrangian Relaxation Approach for Rescheduling a Steelmaking-Continuous Casting Process,” Control Engineering Practice, Vol. 30, pp. 67-77, 2014
                    7. D. Ouelhadj, P. Cowling, and S. Petrovic, “Utility and Stability Measures for Agent-based Dynamic Scheduling of Steel Continuous Casting,” in Proceedings of IEEE International Conference on Robotics and Automation, Taiwan, China, 2003
                    8. D. L. Hou and T. K. Li, “Analysis of Random Disturbances on Shop Floor in Modern Steel Production Dynamic Environment,” Procedia Engineering, Vol. 29, No. 4, pp. 663-667, 2012
                    9. K. Chen, Z. Zheng, Y. Liu, and X. Gao, “Real-Time Scheduling Method for Steelmaking-Continuous Casting,” in Proceedings of the 2010 IEEE IEEM, Macau, China, 2010
                    10. L. Tang, Y. Zhao, and J. Liu, “An Improved Differential Evolution Algorithm for Practical Dynamic Scheduling in Steelmaking-Continuous Casting Production,” IEEE Transactions on Evolutionary Computation, Vol. 18, No. 2, pp. 209-225, 2014
                    11. J. Hao, M. Liu, S. Jiang, and C. Wu, “A Soft-Decision based Two-Layered Scheduling Approach for Uncertain Steelmaking-Continuous Casting Process,” European Journal of Operational Research, Vol. 244, No. 3, pp. 966-979, 2015
                    12. Z. Zhong, J. Y. Long, and X. Q. Gao. “Production Scheduling Problems of Steelmaking-Continuous Casting Process in Dynamic Production Environment,” Journal of Iron and Steel Research (International), Vol. 24, No. 6, pp. 586-594, 2017
                    13. Gensym Corporation, “G2 Application Development 1 Overhead Manual (Version 7.0 Rev. 0),” Gensym Corporation, USA, 2003
                    14. L. Yao, I. Postlethwaite, W. Browne, D. Gu, M. Mar, and S. Lowes, “Design, Implementation and Testing of an Intelligent Knowledge-based System for the Supervisory Control of a Hot Rolling Mill,” Journal of Process Control, Vol. 15, No. 6, pp. 615-628, 2005
                    15. D. Guo and T. Li, “Constraint Satisfaction-based Method for Steelmaking- Continuous Casting Production Scheduling Problem,” Information and Control, Vol. 34, No.6, pp. 753-758, 2005

                                       

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