Modelo predictivo-reactivo para el control de un sistema de recolección de productos en bodega (AS/RS)
2019
Competitive environments have forced companies to improve their operations management and evolve constantly. Thus, such enterprises base tbeir competitiveness strategies emphasi.zi.ng on the i.mplementation of advanced technologies, i.nventory management and process automatization. This paper presents a predictive- reactive model capable of controlli.ng an automated warehouse's product retrieval system. This work ai.ms to achieve an efficient and reactive control for the retrieval of inventory products, therefore providi.ng an operative advantage. The creation of the control system incorporated optimization tools sucb as beuristics and metaheuristics designed to find efficient solutions. Reactive responses to disturbances and complex situations were solved by a distributed control architecture. Additionally, a study case was created in order to validate the proposal througb a multi-agent-based model.
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