Abstract 

The FMCG industry is characterized by high-volume production, rapid turnover, and dynamic market conditions. Strategic operations management is crucial for driving efficiency, quality, and customer satisfaction. Efficiency in this sector is achieved through strategies like process optimization, automation, lean manufacturing techniques, and effective supply chain management to reduce costs and maintain high production speeds. Sustainability is also a key concern, focusing on minimizing environmental impact and conserving resources. This includes implementing energy-efficient operations, reducing waste through recycling and circular economy principles, and sustainable sourcing of materials. The proposed methodology, referred to as the "Triple Coupling Method," uses a multi-agent model, a simulation model for evaluating criteria, and a stochastic algorithm to optimize a random variable. The study examines previous research on scheduling and material handling problems, and a situation analysis is performed. The methodology section outlines proposals for handling random events, including simulation, replication, and influence ratio. The research aims to balance high-volume production with environmental stewardship, aligning with consumer demand for sustainable products. The study concludes by detailing experiments with classical and the proposed stochastic algorithms.

Keywords

Stochastic Methods, Efficiency, Sustainability, Optimization, Framework.