INTEGRATED DIGITAL ENGINEERING THROUGH REAL-TIME DATA AND BIG-DATA ANALYTICS

Journal Title: Współpraca Europejska - Year 2016, Vol 16, Issue 9

Abstract

The technical process has no associativity from the design area to the machine tool. In the chipping area, we need for an essential and continuous optimization in the whole process data’s from the machine tool. If we habe the possibility to optimize the components on design area, then we improve the complete process from the customer order entry to the delivery. Based on this information, it’s possible to reduce the time to market. On technical level, we have a functional revolution based on new workflows, processes to reduce the effort in the planning process, the product costs and manufacturing costs. The change process is also affected by the worflow from the production environment to the planning area. The design department defines approximately 70% of the product cost [Heimsoth 2006] - by modern connection technology it’s possible to receive in the CAD-system resource information of the production to optimize the whole process. So, it's helpful to derive preliminary cost estimation, based on 3D analytics which results based on the optimized technological data's. A manufacturable design is the basis for an optimized total process - the work plan for the ERP system can be generated already, too. It is also ensured that parts which have been designed under using analysis would be easy to produce. Based on the 3D-CAD-models the NC program can be created via feature-oriented automated rules (dependence of the CAM programming system), so that NC programs for alternative machines can be derived. This is necessary that we obtained the higher flexibility in production and reduction on process times. Based on machine signals, we send back the information’s over the machine connectors to the data-analytics database. So, it's implemented a holistic approach in the field of logistics, as well as in the technical field. With PDCA (continuous improvement process) it's ensured a steady optimization. The effects on real time data are implemented in the technical area within the reporting, interfaces and visualization. The decision-making process shows the importance of employees in the total chain. The benefits based on the realization of the Karlsruhe Institute of Technology (KIT) - Institute for Information Management in Engineering (IMI).

Authors and Affiliations

Thomas Mücke, Vassil Galabov

Keywords

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  • EP ID EP195997
  • DOI -
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How To Cite

Thomas Mücke, Vassil Galabov (2016). INTEGRATED DIGITAL ENGINEERING THROUGH REAL-TIME DATA AND BIG-DATA ANALYTICS. Współpraca Europejska, 16(9), 9-25. https://europub.co.uk/articles/-A-195997