Abstract
Multiagent systems (MAS) offer new perspectives compared to conventional, centrally organized architectures in the field of production planning and control. They are expected to be more flexible while dealing with a turbulent production environment with its environment-immanent disturbances. In this chapter, a MAS is developed and compared to an Operations Research Job-Shop algorithm using a simulation-based benchmarking scenario. Environmental constraints for a successful application of MAS are identified and classified to be applied to next generation priority-rules based decision algorithms in MAS-based production planning and control.
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Wörner, J., Wörn, H. (2006). Benchmarking of Multiagent Systems in a Production Planning and Control Environment. In: Kirn, S., Herzog, O., Lockemann, P., Spaniol, O. (eds) Multiagent Engineering. International Handbooks on Information Systems. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-32062-8_7
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DOI: https://doi.org/10.1007/3-540-32062-8_7
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