EVALUATION OF DATA QUALITY IN THE CONTEXT OF CONTINUOUS PRODUCT VALIDATION THROUGHOUT THE DEVELOPMENT PROCESS

DS 68-9: Proceedings of the 18th International Conference on Engineering Design (ICED 11), Impacting Society through Engineering Design, Vol. 9: Design Methods and Tools pt. 1, Lyngby/Copenhagen, Denmark, 15.-19.08.2011

Year: 2011
Editor: Culley, S.J.; Hicks, B.J.; McAloone, T.C.; Howard, T.J. & Dong, A.
Author: Reitmeier, Jochen; Paetzold, Kristin
Section: Design Methods and Tools Part 1
Page(s): 143-152

Abstract

Focus of current research activities is to develop a holistic and capable method for the continuous validation of product properties throughout the development process by the means of simulations to significantly reduce development cycles and to increase product quality. Simulation methodology is an appropriate device to gain knowledge about real systems through models. However, it will be absolutely necessary to indicate which input data the simulation results are based on in order to prevent systematic errors and avoid implying a precision that does not exist. Data quality must be pre-defined depending on the current process step if simulations are to be executed efficiently. Therefore, the objective must be to be able to describe the available data basis and to give methodical support to assist engineers at the decision-making process as far as necessary. Consequently more goal-oriented iteration loops can be carried out resp. the further working process can be suitably designed in terms of concurrent engineering.

Keywords: SIMULATION PLANNING; PRODUCT VALIDATION; DATA QUALITY

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