Abstract
Production systems need information in real time to deal with diagnosis of problems and decision taking. For that, accuracy, processing agility, and mainly agility in managing information, is necessary. Those characteristics are found in the approach of the Multi Agents System. Processes Staggering is a complex task, which depends on many variables and demands real time in a satisfactory solution where the search space is extremely complex and, thus, Genetic Algorithms techniques can help to solve these situations. This article presents a case study where a hybrid modeling for the implementation of a process staggering system in a production system.
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Junior, A.U., Silveira, R.A. (2009). Using Multiagent Systems and Genetic Algorithms to Deal with Problems of Staggering. In: Demazeau, Y., Pavón, J., Corchado, J.M., Bajo, J. (eds) 7th International Conference on Practical Applications of Agents and Multi-Agent Systems (PAAMS 2009). Advances in Intelligent and Soft Computing, vol 55. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-00487-2_60
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DOI: https://doi.org/10.1007/978-3-642-00487-2_60
Publisher Name: Springer, Berlin, Heidelberg
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