The consumption paradigm in the food sector has undergone drastic changes in recent decades, accelerating online purchases, increasing the demand for fresh and low-cost products, and raising consumer interest in having clear and reliable information about every product they consume.
For this reason, it is essential to have a solid industrial and digital plan, applying enabling technologies that allow us to improve the efficiency and productivity of our processes.
The food and beverage sector has been adopting industrial automation technologies for years. In this sense, the food industry continues to see constant advances in the integration of robotics, sensors, AGVs, conveyors, and other automated solutions. These technologies help increase efficiency and safety in manufacturing processes.
Currently, the sector is also immersed in the digital era, which requires moving away from traditional strategies and adopting new Industry 4.0 solutions. The goal is to reduce costs and improve profitability without compromising product quality. To achieve this, companies are leveraging both experience and historical data to design customized production plans that are truly efficient. The integration of real-time production management systems (MES/MOM) allows planning, coordinating, and monitoring all factory processes (quality, maintenance, logistics, planning, etc.).
Achieving more flexible, safe, and environmentally sustainable processes is one of the biggest challenges for food industry manufacturers. Below, we analyze key aspects such as production planning and batch management—essential elements in the food industry.
Production Planning
The goal for companies in the sector is to maintain a competitive cost policy, increasing overall profitability without sacrificing quality. This represents a major challenge that is addressed through innovation, new technologies, and data-driven production models. This approach impacts the entire value chain—from raw materials to the end customer—representing a major transformation across all stages of the production process.
These systems take into account all available resources, not only those related to the product but also personnel and equipment on the factory floor. All these areas are managed under the same system. A robust production planning software for the food industry enables resource and cost optimization through a solid configuration. It can calculate workload capacity per time period, track overlapping and idle times to improve them, and even account for maintenance downtime, overtime during peak demand, and more.
The system also provides the production planning team with the information needed to balance supply and demand and to consider make-to-order products. Additionally, it automatically sends alerts to stakeholders when specific decisions affect the balance between supply and demand, allowing them to take corrective actions when needed.
Thanks to the high traceability offered by technologies such as the Manufacturing Execution System (MES), it becomes easier and more cost-effective to maintain product quality control. This ensures not only improved performance and results but also compliance with the strict sanitary and quality parameters required—especially in the food sector. Having real-time data allows us to detect issues or incidents as they occur, address them quickly, and even anticipate them before they escalate.
Similarly, IoT and artificial intelligence are helping companies achieve high levels of food safety while also reducing waste, costs, and risks throughout the various stages a product goes through. Data has become an essential asset across all industrial sectors.
Batch Management, Bottlenecks, and Capacity
Production planning software helps quickly create orders using supplier catalogs while minimizing the risk of manual errors. These systems also allow companies to define different production scenarios and assign them a primary or backup status, which helps overcome supply shortages or surpluses. They also make it easier to track batches both on the shop floor and during transit from suppliers to customers.
Thanks to MES platforms, the tedious task of manually entering data is eliminated. They help define product expiration dates and provide proactive alerts when products approach the end of their viability range, ensuring they are used before spoilage. All of this information is stored in a database that automatically generates bills of materials, allergen declarations, ingredient lists, and nutritional values.
These systems help prevent bottlenecks through complete visualization of inventories and locations, including individual products, containers, or batches. This assists logistics managers in scheduling activities efficiently so that customer orders can be fulfilled on time.
Success stories in automation and digitalization of processes in the food industry at Geprom
