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Reducing Myopic Behavior in FMS Control: A Semi-Heterarchical SimulationOptimization Approach

Abstract : Heterarchical-based control for flexible manufacturing systems (FMS) localizes control capabilities in decisional entities (DE), resulting in highly reactive and low complex control architectures. However, these architectures present myopic behavior since DEs have limited visibility of other DEs and their behavior, making difficult to ensure certain global performance. This dissertation focuses on reducing myopic behavior. At first, a definition and a typology of myopic behavior in FMS is proposed. In this thesis, myopic behavior is dealt explicitlyso global performance can be improved. Thus, we propose a semi-heterarchical architecture in which a global decisional entity (GDE) deals with different kinds of myopic decisions using simulation-based optimization (SbOs). Different optimization techniques can be used so myopic decisions can be dealtindividually, favoring GDE modularity. Then, the SbOs can adopt different roles, being possible to reduce myopic behavior in different ways. More, it is also possible to grant local decisional entities with different autonomy levels by applying different interaction modes. In order to balance reactivity and global performance, our approach accepts configurations in which some myopic behaviors are reduced and others are accepted. Our approach was instantiated to control the assembly cell at Valenciennes AIPPRIMECA center. Simulation results showed that the proposed architecture reduces myopic behavior whereby it strikes a balance between reactivity and global performance. The real implementation on the assembly cell verified the effectiveness of our approach under realistic dynamic scenarios, and promising results were obtained.
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Contributor : Gabriel Zambrano Rey <>
Submitted on : Tuesday, September 16, 2014 - 5:13:00 AM
Last modification on : Friday, November 13, 2020 - 8:44:13 AM


  • HAL Id : tel-01064272, version 1



Gabriel Zambrano Rey. Reducing Myopic Behavior in FMS Control: A Semi-Heterarchical SimulationOptimization Approach. Automatic. Université de Valenciennes et du Hainaut-Cambresis, 2014. English. ⟨tel-01064272⟩



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