TY  - CONF
A1  - Schuh, Günther
A1  - Blum, Matthias
A2  - Kocaoglu, Dundar F.
T1  - Design of a Data Structure for the Order Processing as a Basis for Data Analytics Methods
T2  - 2016 Proceedings of PICMET '16: Technology Management for Social Innovation
N2  - Today, manufacturing companies are facing the influences of a dynamic environment and the continuously increasing planning complexity. Using advanced data analytics methods, processes can be improved by analyzing historical data, detecting patterns and deriving measures to counteract the issues. The basis of such approaches builds a virtual representation of a product – called the digital twin or digital shadow.
Although, applied IT systems provide reliable feedback data of the processes on the shop-floor, they lack on a data structure which represents real-time data series of a product. This paper presents an approach for a data structure for the order processing which overcomes the described issue and provides a virtual representation of a product. Based on the data structure deviations between the production schedule and the real situation on the shop-floor can be identified in real time and measures to reschedule operations can be identified.
KW  - Digitaler Schatten
KW  - Big Data
KW  - Industrie 4.0
Y1  - 2023
UR  - https://epub.fir.de/frontdoor/index/index/docId/2663
UR  - https://ieeexplore.ieee.org/document/7806715
SN  - 978-1-5090-3595-3
SP  - 2164
EP  - 2169
ER  -