A Framework For Adaptive Data Integration In Digital Production

Tobias Meisen (), Rudolf Reinhard, Daniel Schilberg () and Sabina Jeschke ()
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Tobias Meisen: RWTH Aachen University, IMA/ZLW
Daniel Schilberg: RWTH Aachen University, IMA/ZLW
Sabina Jeschke: RWTH Aachen University, IMA/ZLW

A chapter in Automation, Communication and Cybernetics in Science and Engineering 2011/2012, 2013, pp 1053-1066 from Springer

Abstract: Abstract Modern production processes' complexity increases steadily. Therefore, virtual planning has been prevailed as a method used to evaluate risks and costs before the concrete realization of production processes. In doing so, virtual planning uses a number of numerical simulation tools that differ in the simulated production techniques as well as in the considered problem domains. Users may choose between tailor-made, thus costly, simulation tools delivering accurate results and off-the-shelf, thus less costly, simulation tools causing post-processing efforts. Thereby, simulating a whole production process is often hardly realizable due to insufficient prediction accuracy or the missing support of a production technique. The supposed solution of interconnecting different simulation tools to solve such problems is hardly applicable as incompatible file formats, mark-up languages and models describing simulated objects cause an inconsistency of data and interfaces. This paper presents the architecture of a framework for adaptive data integration that enables the interconnection of such numerical simulation tools of a specific domain.

Keywords: Simulation Tool; Service Composition; Translation Process; Digital Production; Common Object Request Broker Architecture (search for similar items in EconPapers)
Date: 2013
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Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-642-33389-7_76

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DOI: 10.1007/978-3-642-33389-7_76

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