Cloudification of 
Production Engineering
 for
Predictive Digital
Manufacturing

Experiment 7 – Simulation and improving food packaging with the objective of waste reduction

Experiment Description

The problem that TreValli Cooperlat faced was related to an unforeseen stop on the production lines, due to a sudden breakdown of one conveyor or to a machine along the lines that goes out of service. In such case, for some dairy products, there was a 5 minute timeframe to solve the problem and restart the line. In case they were unable to solve the issue in time, the whole line has to be stopped and in the worst case everything that was currently inside the filling machine had to be disposed.

To ease the possibility of covering the majority of the possible error cases the team decided to execute a simulation for each error case simultaneously. The main goal of the experiment was to help the end user to identify potentials to extend the 5 minute timeframe as much as possible to avoid wasting the material.

To achieve this goal, the realtime simulation software industrialPhysics was used to simulate the error cases simultaneously and independently from each other.

Technical Impact

For TreValli Cooperlat, a sharp predictive maintenance helps to have better results. Being impossible to prevent all the failures, the aim is to minimize the reaction time of the maintenance team. We also want to foreseen if a failure can be solved in the time span in which some devices help to keep the production running or if it is mandatory to stop the filling machine.

Viewer results of the simulation

Economic Impact

The food industry is often based on highly automated and very fast machineries. For the dairy industry the main issue is that the products usually processed are “alive”: this means that both a raw product and a treated product (for instance heat treated) have a certain timespan in which they have to be worked and packaged. Should a problem arise anywhere in the production line, the product can deteriorate and in the worst case scenario, has to be disposed. The expectation from the project is the possibility of having a deeper knowledge of the behaviour of the production plant, turned into a reduction of the food waste due to unnecessary stoppages of the production lines.

EXPERIMENT 7 OUTCOME

With this experiment TreValli Cooperlat has gained a deeper knowledge in the reaction time that is necessary to stay within to solve any issue that may arise during the production. This can help to keep the production lines running, avoiding stoppages of the filling machines hence, reducing the unnecessary waste of food.

Experiment 7 final outcome video

"CloudiFacturing technology and the software developed by our ISV Machineering contributed to improve our perception on the importance of knowing the right approach to shorten the reaction time in case a problem arises"

Tommaso Colafrancesco, Head of Engineering, TreValli Cooperlat.

Experiment Partners

Competence Centers

Digital Innovation Hub

Contact

machineering GmbH &co KG
Christoph Spielmann
Munich, Germany
christoph.spielmann@machineering.de