Objetivo
This proposal is prepared with the help of a Research Feasibility Study, which has been conducted by the co ordinator over recent years with work within from industry and funded robotic research. The project will develop demonstration cells within five different companies showing a radically new method to monitor product quality by automatically quantifying attributes and variables within a Statistical Process Control environment. The generic system is based on sub space sensory data classification methods and parameterised clipped data, which can be intelligently, interpret the product and process. It will allow for the first time the computer integration of quality control and process machine monitoring within a Computer Integrated Manufacturing and Engineering (CIME) environment. These cells will show the benefits applied to difficult batch production processes of; machining toughened steel, plastic injection moulding with manual interaction, wave soldering and special purpose polypropylene blow moulding machine to produce medical filters. The live production data also enables a live production scheduler which can give better forecasting based upon Manufacturing Requirements Planning (MRP) by including predicted product and machine problems. The Human Computer Interface (HCI) will be an interactive virtual reality three dimensional model of the manufacturing process, which provides a simple pick select, and inquire method. Thus the HCI may be moved forward in time to give a more reliable forward scheduler. Expected benefits by companies using this system would typically gain a 33 50% improvement in identified manufacturing faults with material scrap savings of more than half current values. Immediate additional savings of more than 5% of total costs are expected in improved production and maintenance management. The system would be available after this 2 year project for immediate exploitation and be readily available to benefit most SME's and equipment manufacturers, which span a large range of complex processes.
Ámbito científico
CORDIS clasifica los proyectos con EuroSciVoc, una taxonomía plurilingüe de ámbitos científicos, mediante un proceso semiautomático basado en técnicas de procesamiento del lenguaje natural.
CORDIS clasifica los proyectos con EuroSciVoc, una taxonomía plurilingüe de ámbitos científicos, mediante un proceso semiautomático basado en técnicas de procesamiento del lenguaje natural.
Convocatoria de propuestas
Data not availableRégimen de financiación
CRS - Cooperative research contractsCoordinador
BD20 0HA Silsden - Keighley
Reino Unido