Data Quality and the Control of Automotive ManufacturingThe automotive manufacturing domain of this day and age is faced with a
number of challenges. According to Maslow’s (1908-1970) hierarchy of needs,
the desire for individuality will steadily increase along with the growing
prosperity of people. As a consequence, the concept of mass customization
has been evolving since the 1990s, i.e. ”producing goods and services to meet
individual customer’s needs with near mass production efficiency”. The
progressing globalization, furthermore, yields new competitors on the one hand,
and saturated markets, especially in Europe and Northern America, on the
other hand. This leads to a high pressure to be innovative while at the same
time the time to market (TTM) is expected to be reduced. Therefore, in the last
decades, car manufacturers adopted simultaneous engineering (SE) approaches
for the development cycles of their products; on that score, well-performing
flows of information are considered to be among the fundamental prerequisites.
In order to implement them, a high degree of standardization is required. As a
side effect, many enterprises have lost some of their flexibility; but flexibility is
essential to be able to efficiently react to the rapidly changing environmental
circumstances.
Against this background the Audi AG has launched the project Elektronische Wagenbegleitkarte (eWBK) to replace the paper media by an IT system
(Figure 1). The necessary input data, with respect to a product model and an assembly line, is given by
These components are combined in a manufacturing execution system
(MES) which performs a resolving procedure to determine the required tasks and
parts for each workstation and customer order, respectively.
By doing so, the complicated interpretation processes for the operators will be
dispensable in the future. In addition to that, firstly, paper won’t be wasted any
longer and, secondly, the cycle times can be reduced. On the whole, not only
the risk of misinterpretation will be minimized but also the degree of flexibility
will increase. This, in turn, allows for new paradigms like late-time changes
of customer orders or an even more efficient regulation of repair and restoring
work. MDD-based Verification of Automotive Manufacturing Data
In the course of this project, a new approach to verify consistency of the
input data has been developed. For this purpose, Multi-Valued Decision Diagrams (MDDs) (Figure 2)
are deployed to efficiently encode large sets of product configurations. The
verification approach is based upon the set of all valid product configurations,
which is why a compilation of the knowledge of feasible and infeasible combinations of equipment features is required. Since the data structure yielded
by this compilation procedure often consumes high amounts of memory, it
will be attempted to decrease these by choosing an adequate variable ordering.
Therefore, new methods for the search of both proper variable orderings and
efficient compilation sequences are investigated. In addition to that, we
develop a methodology to increase the data quality of the product configuration data
(PCD) by using meta-rules. The expert knowledge on valid and invalid product
configurations is encoded by a set of constraints. Our approach makes it possible
to formalize this expert knowledge and to define design patterns which the set
of constraints must adhere to. | Projektleitung: Prof. Dr.-Ing. Reinhard German, Dr.-Ing. Rüdiger Berndt
Stichwörter: Data Quality; Automotive Manufacturing; MDD-based Verification
Laufzeit: 1.11.2009 - 31.10.2012
Mitwirkende Institutionen: AUDI AG INI.FAU
Kontakt: Berndt, Rüdiger E-Mail: ruediger.berndt@fau.de
| Publikationen |
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Berndt, Rüdiger ; Bazan, Peter ; Hielscher, Kai-Steffen Jens: MDD-based Verification of Car Manufacturing Data. In: IEEE (Hrsg.) : Third International Conference on Computational Intelligence, Modelling & Simulation (IEEE) (CimSim 2011 Malaysia 20.-22. September 2011). 2011, S. 187-193. [doi>10.1109/CIMSim.2011.40] | Berndt, Rüdiger ; Bazan, Peter ; Hielscher, Kai-Steffen Jens: On the Ordering of Variables of Multi-Valued Decision Diagrams. In: MMB (Hrsg.) : Leistungs-, Zuverlässigkeits- und Verlässlichkeitsbewertung von Kommunikationsnetzen und Verteilten Systemen (MMBnet 2011-Workshop Hamburg 15.-16. September 2011). 2011, S. 89-98. | Berndt, Rüdiger ; Blechinger, Juliane: Der Weg ist das Ziel - Fahrplan zur Entdeckung von datenqualitätsgefährdenden Ursachen. In: Wirtschaftsinformatik & Management (2011), Nr. 04, S. 40-45 | Risch, Florian ; Berndt, Rüdiger ; Franke, Jörg: Schlanke Informationsflüsse für eine effiziente Produktion. In: Zeitschrift für wirtschaftlichen Fabrikbetrieb (2011), Nr. 10, S. 706-710 | Berndt, Rüdiger ; Zitterell, Dirk: Towards High-Quality Automotive Product Configuration Data using Meta-Rules. In: ICIQ2012 (Hrsg.) : Proceedings of the 17th International Conference on Information Quality (ICIQ 2012 Paris Nov. 2012). 2012, S. -. | Berndt, Rüdiger ; Bazan, Peter ; Hielscher, Kai-Steffen Jens ; German, Reinhard ; Lukasiewycz, Martin: Multi-Valued Decision Diagrams for the Verification of Consistency in Automotive Product Data. In: IEEE (Veranst.) : Proceedings of 12th International Conference on Quality Software (IEEE) (QSIC 2012 Xi'an 27.-29.08.12). 2012, S. 189-192. [doi>10.1109/QSIC.2012.43] | Berndt, Rüdiger ; Bazan, Peter ; Hielscher, Kai-Steffen Jens ; German, Reinhard: Construction Methods for MDD-based State Space Representations of Unstructured Systems. In: MMB 2014 (Hrsg.) : Proceedings of the 17th International GI/ITG Conference on “Measurement, Modelling and Evaluation of Computing Systems” and “Dependability and Fault-Tolerance” (MMB 2014 Bamberg, Germany 17-19 March 2014). 2014, S. 43-56. (Measurement, Modelling, and Evaluation of Computing Systems and Dependability and Fault Tolerance) - ISBN 978-3-319-05359-2 [doi>10.1007/978-3-319-05359-2_4] |
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