Industry 4.0 for the food and beverage sector
MES SYSTEM FOR THE FOOD SECTOR
Practically half of our clients in MESbook belong to the agri-food sector, where we have successfully solved key challenges in this sector, such as strengthening their Quality and Traceability system, reinforcing the food safety of the products they manufacture and/or package, as well as measuring deviations in their variable costs (raw material, labor and energy) to identify and quantify the cause of these deviations in €.
We connect all the actors in the factory (machines, people, systems, processes and product/raw material) so that, based on our extensive experience in factories and the sector in particular, our implementation methodology and our technology, we digitally transform the factory and provide our customers with real-time management, to manufacture more every day, with better quality and lower cost.
Challenges in the food and beverage industry
MES food industry software solutions
Benefits of implementing Mesbook in factories
Real-time production control of the factory and the problems that occur, being able to act on them in real time.
Reliability of the quality system
Perform the management and pass the audits paperless, to achieve IFS and BRC accreditations, reducing time and costs associated with administrative tasks.
Control over price variations in raw materials and the impact on the income statement.
Control of machine availability and performance. Savings in unnecessary investments.
Optimization of the consumption of material, energy and human resources, as well as minimization of waste.
Knowledge of where shrinkage occurs in the process, either between sections or on a line, as well as its quantification in €.
Intelligent system for the control and monitoring of material overconsumption and deviation in each OF along the entire value chain, with alerts for action.
Traceability throughout the entire production processfrom the manufacture of the semi-finished product to the packaging of the final product..
Control and optimization of variable costs and visualization of deviations against the company target. Saving indirect costs related to data capture and management in the factory to convert it into information and knowledge.
Potential to link any variable that has participated in the process and achieve what is defined as Golden Batch (Perfect Recipe, optimization of waste, direct labor costs or quality) by means of Machine Learning and advanced analytics.
Control of price variations
In raw materials and the impact on the income statement. Focus improvement on less profitable products identified through MESbook.
Tax on plastic packaging
Possibility of reducing the amount payable in the tax on non-reusable plastic packaging.