KAP Knowledge, Awareness and Prediction of Man, Machine, Material and Method in Manufacturing

Knowledge, Awareness and Prediction of Man, Machine, Material and Method in Manufacturing

Summary

Manufacturing is the driving force behind Europe’s economy, providing over €6,553 billion of GDP. Against a background of climate change legislation, volatile energy prices, and increased environmental awareness, modern manufacturing must encompass a focus on sustainability and eco-efficiency. Given the current economic situation, this has to be achieved without the need for large capital expenditure. The application of information technologies to an already-existing production facility is a cost-effective investment. KAP stands for knowledge of past performance and awareness of the present state, enabling the prediction of future outcomes. By creating transparency through the usage of data generated on the shop floor, every existing resource can be used as efficiently as possible. This guarantees the effective coordination of man, machine, material, and method. In order to achieve this, the KAP research project will focus on production performance indicator definitions, including aspects of sustainability and energy-efficiency. Techniques such as complex event processing and data stream analysis will compute these indicators on-the-fly to provide effective real-time monitoring. Data mining in combination with OLAP can support problems with diagnosis and resolution. Perceptually efficient visualisations will communicate the production performance indicators to decision-makers in a format which can help reduce cognitive workload and effectively aid improvments of situational awareness. Within the research project, a well-balanced consortium of research centres and academic as well as industry partners provides the ideal opportunity to develop research outcomes proposed in the project. The research partners estimate reductions of over 5% per annum in waste and energy and 10% in time to market if the research prototype is potentially used in the future.

More information

Web resources:	http://www.kap-project.eu https://cordis.europa.eu/project/rcn/95347/factsheet/en
Start date:	01-09-2010
End date:	31-08-2013
Total budget - Public funding:	12 827 466,00 Euro - 7 545 000,00 Euro
Call topic:	Smart Factories: ICT for agile and environmentally friendly manufacturing (FoF.ICT.2010.10.1)

Cordis data

Original description

Manufacturing is the driving force of Europe's economy, providing over €6,553 billion in GDP. However against a background of climate change legislation, volatile energy prices and increased environmental awareness, modern manufacturing must encompass a focus on eco-efficiency. Given the current economic situation, this must be achieved without the need for large capital expenditure. Adding information technology to an already existing production facility is a cost-effective investment. The KAP project will deliver energy management standards and a technology framework for next generation, sustainable manufacturing. KAP stands for Knowledge of past performance, combined with Awareness of the present state, which together can support Prediction of future outcomes. This philosophy forms the basis of a framework that will enable every existing resource to be used as efficiently as possible through the effective co-ordination of man, machine, material and method. To achieve this goal the project will define a range of sustainable manufacturing standards. Measurements will be gathered through a factory-wide network of sensors. Complex Event Processing (CEP) and data stream analysis will compute on-the-fly production performance indicators (PPIs) for real-time monitoring. Data mining in combination with OLAP will support problem diagnosis and resolution. Computational learning techniques will create a self-improving system for operational control. The inclusion of energy management makes the interpretation of system data an even greater challenge. Perceptually efficient visualisations will communicate PPI's to decision makers in a format that will reduce cognitive workload and improve situation awareness. A well-balanced consortium of research centres, academic and industry partners provides an ideal opportunity to realise the innovations proposed by the project. In terms of impact, partners estimate reductions of over 5% p.a in waste and energy and 10% in time to market.