RobRMT

Operator Based Robust Right Coprime Factorization for Optimal Control of Logistics Systems

 
Project start: 2015, Project end: 2017
 
Funding institution: EU FUSION

Project description:

 
Manufacturing industries and logistics are confronted with many challenges, in particular with respect to an increasing volatility of the market. Both products shortages and surpluses will induce losses for the manufacturers. Therefore, the motivation of the research is to improve the ability of manufacturing factories to deal with the volatile demand and self-uncertainties effectively. Capacity adjustment is an effective approach to react on those problems. However, most approaches of capacity adjustment are relying on labour activities. A new opportunity for adjusting the capacity is given by reconfigurable machine tools (RMTs), which depending on their configuration may be used for different tasks on the shop floor. The main purpose of this project is to develop a control strategy, which is optimal with regards to logistic performance criteria and able to improve the potential of this process to effectively react on short and medium term fluctuations in the demand. The main research program is modeling and analysis the properties of RMTs as well as job shop manufacturing system, and implementing operator based robust right coprime factorization to optimize the capacity adjustment of the system with RMTs.
 
Contact: MSc. Ping Liu

Publications

2018

  • P. Liu and Q. Zhang and J. Pannek (2018). Application of Reconfigurable Machine Tools in the Capacity Control of Job Shop Systems. International Journal of Agile Systems and Management. 11 (3), 206--221. [BibTex]

  • P. Liu and U. Chinges and Q. Zhang and J. Pannek (2018). Capacity Control in Disturbed and Time-Delayed Job Shop Manufacturing Systems with RMTs. Proceedings of 9th Vienna International Conference on Mathematical Modelling (MATHMOD2018). 51 (2), 807--812. [BibTex]

  • P. Liu and J. Pannek (2018). Operator-based Capacity Control of Job Shop Manufacturing Systems with RMTs. Proceedings of the 6th International Conference on Dynamics in Logistics (LDIC 2018). 264-272. [BibTex]

  • Q. Zhang, P. Liu and J. Pannek (2018). Combining MPC and Integer Operators for Capacity Adjustment in Job Shop Systems with RMTs. International Journal of Production Research. accepted. [BibTex]

2017

  • Q. Zhang and P. Liu and J. Pannek (2017). Modeling and Predictive Capacity Adjustment for Job Shop Systems with RMTs. Proceedings of the 25th Mediterranean Conference on Control and Automation. 310-315. [doi] [BibTex]

  • P. Liu and J. Pannek (2017). Modelling and Controlling of Multi-workstation Job Shop Manufacturing System with RMTs. 6th CUST International Business Research Conference. LPM-07. [BibTex]

  • U. Chinges and P. Liu and Q. Zhang and I. Rügge and J. Pannek (2017). Abstract Control Interface for Job Shop Manufacturing Systems with RMTs. Proceedings of the 11th International Conference on Software, Knowledge, Information Management and Application (SKIMA). 1-6. [doi] [BibTex]

  • P. Liu (2017). Capacity Control of Multi-workstation Job Shop Systems with RMTs. Research Report 2016/ 2017: Internation Graduate School for Dynamics in Logistics. 5 53--56. [BibTex]

2016

  • P. Liu and Q. Zhang and J. Pannek (2016). Capacity Adjustment of Job Shop Manufacturing Systems with RMTs. Proceedings of the 10th International Conference on Software, Knowledge, Information Management and Application (SKIMA). 175--180. [BibTex]