Cutting-Edge Engineering - An Innovative Approach to Better Support the Engineering and the Life Cycle of Automated Production Systems

Jochen Merhof; Jörg Franke

doi:10.4028/www.scientific.net/AMR.628.445

Paper Titles

Investigation & Simulation of an Intelligent Lateral Flight Controller for a Blimp System
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Finger Vein Recognition Using Local Mean Based K-Nearest Centroid Neighbor Classifier
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Applying Fuzzy Logic for Optimal Placement of XBOX Kinect Sensors for Industrial Applications
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The Particle Filter Algorithm Research for Target Tracking Based on Information Fusion
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Cutting-Edge Engineering - An Innovative Approach to Better Support the Engineering and the Life Cycle of Automated Production Systems
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A Non-Dominated Sorting Particle Swarm Optimization Algorithm For Mixed-Model Assembly Line Sequencing Problem
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A Study on the Development of Tool Planning for REF SILL OTR-R/L Auto-Body Panel by Using Forming Analysis
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New CNC Machining Method for Sculptured Surface Using Non-Ball-End Tools
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Different Methods of Cutting Fluid Application on Turning of a Difficult-to-Machine Steel
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HomeAdvanced Materials ResearchAdvanced Materials Research Vol. 628Cutting-Edge Engineering - An Innovative Approach...

Cutting-Edge Engineering - An Innovative Approach to Better Support the Engineering and the Life Cycle of Automated Production Systems

Abstract:

This article describes how a future engineering of production systems could look like and what the benefits would be. The presented concept is requirement-based and uses a role-concept and aggregation to deal with the increasing complexity of mechatronic systems. The aim is to counteract the increasing complexity of the systems. For this purpose, strategies must be identified and implemented to achieve this. Finally, an approach for implementing this concept is described.

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Periodical:

Advanced Materials Research (Volume 628)

Pages:

445-450

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.628.445

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Online since:

December 2012

Authors:

Jochen Merhof, Jörg Franke

Keywords:

Data Model, Engineering, Semantic Description of Automated Production Systems

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