Inicio  /  Applied Sciences  /  Vol: 9 Par: 22 (2019)  /  Artículo
ARTÍCULO
TITULO

An Agent-Based Model Driven Decision Support System for Reactive Aggregate Production Scheduling in the Green Coffee Supply Chain

María del Rosario Pérez-Salazar    
Alberto Alfonso Aguilar-Lasserre    
Miguel Gastón Cedillo-Campos    
Rubén Posada-Gómez    
Marco Julio del Moral-Argumedo and José Carlos Hernández-González    

Resumen

The agent-based model driven decision support system can handle the delay in the arrival of raw materials while considering planning scenarios reflecting the context of the green coffee production, scenarios where the demand is skewed towards the end of the planning horizon, where the demand is skewed towards the beginning of the planning, and where demand peaks in the middle of the planning horizon and falls under the available capacity on the first and last days of the horizon. The exhibition of the management process within the green coffee supply chain context may help practitioners and managers interested in implementing the agent-based modeling and simulation approach to increase the possibilities of successful adopting of the reactive aggregate production scheduling.

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