The compact PROGRESSA bread allows mid-sized retail bakers to produce a large variety of products in high quality with extreme precision in weight. This is ensured by a guillotine with two precise weighing units.
The line can process up to 1.8 metric tons of dough per hour - and that in a processing quality and product variety only seen before in the category of industrial lines. Being only five metres in length, the PROGRESSA bread can be integrated effortlessly into almost any existing production hall. The space-saving solution combines a sophisticated hygiene concept with highest product quality in a very compact space.
To make cleaning as quick and easy as possible, the components are easily accessible and easy to remove. Because there are no motors or other electrical parts such as sensors in the drive compartment of the line, the machine can be dismantled rapidly and, for the most part, cleaned quickly and thoroughly with a steam jet.
Another big plus of the PROGRESSA bread is that the amount of oil needed for processing the dough sheet has been reduced to a minimum. Only in the hopper and the star roller of the dough sheeter SDS nano, the minutest spray with just enough oil keeps the dough flowing uniformly. There is no need to use any oil for rolling out the dough sheet, thanks to the special design of the SDS nano. A clever system of fold-up belts flours the dough sheet from all sides. This prevents oil inclusions in the dough, which in turn guarantees excellent baking results of the finished breads. On top of that, it lowers the cost of oil consumption and reduces the effort of cleaning.
- High flexibility thanks to modular design
- Gentle dough processing for high weight accuracy and product quality
- Wide variety of products thanks to a large number of special components
- Easy cleaning thanks to hygienic design and good accessibility
The PROGRESSA bread is pre-equipped for the use of our Smart Services as standard. The FRITSCH Smart Services help to monitor the key performance data of the PROGRESSA bread in real time. The aim is to achieve maximum transparency in production and the current status of the line by collecting data and to provide recommendations for predictive maintenance.
