Hopper addresses the product quality created by automated production equipment. The Process Parameter Recommender generates situational recommendations for best-possible machine settings under the prevailing production conditions in order to keep scrap and cycle time as low as possible. With the Recipe Benchmark, the machine settings are identified for producing highest possible output under consideration of the general conditions. Hopper significantly increases the rate of good parts produced per hour, for example in elastomer, thermoplastic and thermoset injection molding and for materials that are difficult to process, e.g. post-consumer plastics, recyclates or highly hygroscopic materials.
Analysis of machine processes on signal-level based on high frequency live data of various sources
Comparison of similar machines on a very detailed machine component level
Deduction of optimization actions for each real machine to reduce cycle times
Constant monitoring of machine sub-process behavior with notification of anomalies for maintenance department
“With its continuously learning Hopper technology plus10 has provided practical proof on several injection molding machines that significant production increases in elastomer processing are possible in practice.”
Director Digital Business Development/Industrie 4.0