A Collaborative Framework between a Scheduling System and a Holonic Manufacturing Execution System
This paper presents developments on a collaborative framework between a centralized manufacturing scheduling system (SS) and a decentralized manufacturing execution system (MES). The paper intends to integrate such systems with the aim of reducing the existing gap between detailed manufacturing scheduling systems and lower level systems, like MESs. Moreover, the framework exploits the benefits of each specialized technology and complements their capabilities in order to collaborate at runtime. The SS is based on constraint programming (CP) technology, while the holonic MES or HMES implements the PROSA reference architecture and applies the delegate multi-agent system pattern (D-MAS). The scheduling system generates a good quality schedule, which execution is performed by the HMES. In turn, the HMES requires services from the SS in order to update the schedule. The paper also shows the impact that disruptive events have on the execution performance. Experimental results have shown a trade-off between efficiency and stability metrics.
KeywordsMulti-agent systems manufacturing control manufacturing scheduling constraint satisfaction problems
Unable to display preview. Download preview PDF.
- 1.Qiu, R.G., Zhou, M.: Mighty MESs; State-of-the-Art and Future Manufacturing Execution Systems. IEEE Robotics & Automation Magazine 11, 19–25, 40 (2006)Google Scholar
- 7.Pinedo, M.: Planning and scheduling in manufacturing services. Springer Series in Operations Research (2005)Google Scholar
- 9.Henning, G.P.: Production Scheduling in the Process Industries: Current Trends, Emerging Challenges and Opportunities. In: de BritoAlves, R.M., et al. (eds.) 10th International Symposium on Process Systems Engineering: Part A, Computer Aided Chemical Engineering, vol. 27, pp. 23–28. Elsevier (2009)Google Scholar
- 14.Baptiste, P., Le Pape, C., Nuijten, W.: Constrained-Based Scheduling: Applying Constraint Programming to Scheduling Problems. Springer, New York (2005)Google Scholar
- 15.***: ANSI/ISA-95.00.01-2000: Enterprise-Control System Integration, Part 1: Models and Terminology. American National Standards Institute (2000)Google Scholar
- 16.***: ANSI/ISA-95.00.03-2005: Enterprise-Control System Integration, Part 3: Models of Manufacturing Operations Management. American National Standards Institute (2005)Google Scholar
- 18.Hadeli, V.P., Verstraete, P., Germain, B.S., Van Brussel, H.H.: A Study of System Nervousness in Multi-agent Manufacturing Control System. In: Brueckner, S.A., Di Marzo Serugendo, G., Hales, D., Zambonelli, F. (eds.) ESOA 2005. LNCS (LNAI), vol. 3910, pp. 232–243. Springer, Heidelberg (2006)CrossRefGoogle Scholar
- 27.***: IBM ILOG OPL Studio 6.3 (2010)Google Scholar