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November 24th 2022

Production traceability systems in the food industry

Production traceability systems in the food industry offer two benefits: one is based on the implementation of the "Golden Batch" and the other has to do with compliance with regulations.

Regarding the first of them, in some plants the traceability and history allows to generate a "Golden Batch", or a golden lot. This is so that when an ideal recipe is found during preparation, the system makes a record that facilitates the comparison between this "ideal batch" and subsequent ones. In this way, it is key so that production is always carried out with the expected quality.

This comparison can be made to measure the final result of the product, as well as to know if the batch was produced optimally, taking advantage of all available resources.

The second benefit drives tight control that helps comply with regulations. For example, when a product has to be analyzed for a contamination problem in the raw material, during the diagnosis it is possible to identify where that material was used, as well as which batches were produced and to know where they were sent.

In other words, production traceability systems in the food industry make it possible to exactly identify those contaminated batches, as well as their location, without the need to analyze the entire process.

Production traceability systems in the food industry can go further

These software for traceability in food production They can be implemented to have a complete follow-up, that is, from the reception of the raw material to the packaging of the product. However, and although these systems are capable of offering information that allows for absolute control, many companies in the sector tend to have problems at very important stages, because they do not have a fully automated process.

In fact, one of the most common mistakes that companies in the sector make is that, even though they have implemented the automation of the process, they do not have the technology that allows them to integrate the information obtained with the ERP.

In real cases, food and beverage plants usually have the tools to record information on when a new batch of raw material is received, but when the time comes to start production, they do not have the exact information on how it was processed, and if they want to obtain it, it becomes complicated because they can have it in the form of a "data island".

For example, in a food manufacturing plant, an oven may be running all the time, but bumpy. The real information on how the kiln has behaved in that time interval is not reliable, therefore, plant managers must make a series of assumptions to try to understand such behaviour.

In this sense, SINCI offers production traceability systems in the food industry to take the information from their automated systems, up to a point in which they can integrate it with their ERP.

This will allow the plant manager:

  • Know what data you want to communicate to your ERP, and
  • Receive advice from your technological partner, in relation to what information you must communicate to your ERP and what the objective would be.

The production traceability systems in the food industry are implemented after a diagnosis of the production lines, with which, if you consider that it is time to implement our smart manufacturing solutions in your plant, request a visit now to know what are the results that you can obtain with, for example, the integration of plant KPI's in administrative systems or our method to improve productivity in industrial food and beverage plants in Mexico.

Finally, we invite you to subscribe to the Industrial Process Automation Solutions Newsletter, in which you will find an informative bulletin with content on Business-Manufacturing Integration Systems, Information and Visualization Systems, Control Systems, Instrumentation and Electricity, as well as Occupational Health and Safety.

Filed Under: Uncategorized, Food industry, Automation of industrial processes, KPI integration, Industrial Process Optimization, MES system, Digital transformation, Industry 4.0

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Categories

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  • Food industry

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