Optimización de la Cadena de Suministro en Centrales Azucareras mediante Simulación de Eventos Discretos y Redes de Petri: Un Enfoque para la Eficiencia Operativa
DOI:
https://doi.org/10.24054/limentech.v23i1.3705Keywords:
Discrete Event Simulation, Petri Nets, Supply Chain, Sugar Mills, Logistics OptimizationAbstract
The operational efficiency of Sugar Mills (CAZ) depends on optimal supply chain planning, where sugarcane harvesting, transportation, and delivery must be synchronized to prevent production disruptions. This study employs Discrete Event Simulation (DEVS) and Petri Nets to model and analyze the operational dynamics of a CAZ under different coordination approaches: uncoordinated, centralized coordination, and supervised decentralized coordination. The methodology used evaluates resource allocation and its impact on operational efficiency. Simulation results show that supervised decentralized coordination optimizes input flow, reduces operating costs, and improves the utilization of harvesters and trucks. It was observed that inadequate planning leads to production interruptions and additional costs, whereas a supervision system based on Petri Nets enhances resource allocation and production system stability. It is concluded that the use of computational simulation models enables the evaluation of logistical strategies in the sugar industry, providing tools to optimize decision-making and improve sector sustainability. The implementation of supervisory control models and automation in supply chain management is essential to increase competitiveness and reduce variability in sugar production
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