Periodic Reporting for period 1 - Multicursor (Feasibility study for Multicursor - a non-contact sensor for curing quality control)
Periodo di rendicontazione: 2019-06-01 al 2019-09-30
At the moment the curing quality control process requires manual labour input and results in defect rate of around 2%. With Multicursor, manufacturers will produce a significant reduction to defect rate and move closer towards full automatization of the production process.
The company managed to achieve high technological advancement by combining engineering and software development innovations. By thus, Multicursor helps to achieve higher efficiency and productivity in production plants. This will lead to faster and more accurate curing processes.
Therefore, according to Multicursor’s technical analysis, it is safe to assume that the technology has a high potential in increasing manufacturing productivity and saving costs, while at the same time being an affordable solution for SMEs and Large companies across Europe and outside.
Factobotics team was able to build software frameworks for higher applicability of the Multicursor. With software updated over the air, manufacturers using Multicursor will benefit by being able to adapt curing quality measures to different types of lacquer, so it will serve as a one-sensor-fits-all solution.
Together with AI data analysis functions, the sensor is planned to have automatic identification of lacquer function to help the manufacturers minimise the time required for changeovers and software surveillance. In addition, production flow will be measured and analysed for the identification of bottlenecks, peak times and other data, which would produce valuable insights for manufacturing improvement.
Last part of the feasibility study, was the development of the business plan for commercialisation of the Multicursor. The initial product introduction will begin in Lithuania, while Italian, Polish and Swedish furniture manufacturers will follow. The pricing strategy will be built on two different models: Flat price and Sensor-as-a-Service models. This approach will help to reach a wider audience and Sensor-as-a-Service model is intended to serve SMEs mostly.
To conclude, Multicursor's development is getting its pace and is almost ready to begin the commercialisation. Therefore, further tests will show the real value proposition but as to current results, it is clear that the sensor has high potential in helping to automate manufacturing facilities.
By choosing to install the Multicursor sensors, companies benefit from Industry 4.0 benefits that bring sustainable economic benefits for the entire manufacturing industry.