Exp. 6 - Optimizing efficiency of truck components manufacturing processes by data analytics.
The aim of our experiment is to provide an optimization and data analytics tool for discrete manufacturing (assembling) process to reduce production losses/scrap and the rejection during the quality control. We will collect data from the production line and provide cloud analytics and optimization to achieve this. We will test the solution on the manufacturing process of index arms of trucks, with the objective to increase the effectiveness of the whole assembly line by reducing the congestions between different process steps / units during the manufacturing process.
To explore new application areas for advanced ICT in manufacturing at large attracting considerable number of new users of advanced ICT in the manufacturing sector, in particular SMEs and mid-caps.
Moreover, the project will let more innovative and competitive technology suppliers, in particular SMEs, both on the level of ICT and on the level of manufacturing equipment, able to supply manufacturers with new equipment, components and tools for improved manufacturing and engineering operations.
Thank to this experiment Bakony Elektronika will be able to reduce manufacturing costs by reducing both unit and additional costs, minimize the production losses and the manufacturing time. Other benefits will allow the increase in turnover, create additional jobs and establish new contacts or business partners. From the benefits of the end-user, the expected overall impact of the DSS, the ISV of the project, will be to explore new application areas for advanced ICT in manufacturing at large attracting considerable number of new users of advanced ICT in the manufacturing sector, in particular SMEs and mid-caps. Experiment partners forecasts for the next five years:
• Enhanced new products/services: up to 15;
• Increase in turn-over: up to € 2 million;
• Increase in employment: up to 10;
• New contacts / partners: up to 50;
• Partners in new countries: up to 20;
• More efficient business processes;
• Reduction in time-to-market;
• Improvement in customer satisfaction.