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Title: Intelligent Production Monitoring and Control based on Three Main Modules for Automated Manufacturing Cells in the Automotive Industry

Abstract

The automotive industry is distinguished by regionalization and customization of products. As consequence, the diversity of products will increase while the lot sizes will decrease. Thus, more product types will be handled along the process chain and common production paradigms will fail. Although Rapid Manufacturing (RM) methodology will be used for producing small individual lot sizes, new solution for joining and assembling these components are needed. On the other hand, the non-availability of existing operational knowledge and the absence of dynamic and explicit knowledge retrieval minimize the achievement of on-demand capabilities. Thus, in this paper, an approach for an Intelligent Production System will be introduced. The concept is based on three interlinked main modules: a Technology Data Catalogue (TDC) based on an ontology system, an Automated Scheduling Processor (ASP) based on graph theory and a central Programmable Automation Controller (PAC) for real-time sensor/actor communication. The concept is being implemented in a laboratory set-up with several assembly and joining processes and will be experimentally validated in some research and development projects.

Authors:
; ;  [1]
  1. Brandenburg University of Technology Cottbus, Chair of Automation Technology Siemens-Halske-Ring 14, 03046 Cottbus (Germany)
Publication Date:
OSTI Identifier:
21143560
Resource Type:
Journal Article
Journal Name:
AIP Conference Proceedings
Additional Journal Information:
Journal Volume: 1019; Journal Issue: 1; Conference: CISA 08: 1. Mediterranean conference on intelligent systems and automation, Annaba (Algeria), 30 Jun - 2 Jul 2008; Other Information: DOI: 10.1063/1.2952991; (c) 2008 American Institute of Physics; Country of input: International Atomic Energy Agency (IAEA); Journal ID: ISSN 0094-243X
Country of Publication:
United States
Language:
English
Subject:
42 ENGINEERING; AUTOMATION; AUTOMOTIVE INDUSTRY; GRAPH THEORY; JOINING; MANAGEMENT; MANUFACTURING; MONITORING; QUALITY CONTROL; SENSORS

Citation Formats

Berger, Ulrich, Kretzschmann, Ralf, and Algebra, A Vargas Veronica. Intelligent Production Monitoring and Control based on Three Main Modules for Automated Manufacturing Cells in the Automotive Industry. United States: N. p., 2008. Web. doi:10.1063/1.2952991.
Berger, Ulrich, Kretzschmann, Ralf, & Algebra, A Vargas Veronica. Intelligent Production Monitoring and Control based on Three Main Modules for Automated Manufacturing Cells in the Automotive Industry. United States. https://doi.org/10.1063/1.2952991
Berger, Ulrich, Kretzschmann, Ralf, and Algebra, A Vargas Veronica. 2008. "Intelligent Production Monitoring and Control based on Three Main Modules for Automated Manufacturing Cells in the Automotive Industry". United States. https://doi.org/10.1063/1.2952991.
@article{osti_21143560,
title = {Intelligent Production Monitoring and Control based on Three Main Modules for Automated Manufacturing Cells in the Automotive Industry},
author = {Berger, Ulrich and Kretzschmann, Ralf and Algebra, A Vargas Veronica},
abstractNote = {The automotive industry is distinguished by regionalization and customization of products. As consequence, the diversity of products will increase while the lot sizes will decrease. Thus, more product types will be handled along the process chain and common production paradigms will fail. Although Rapid Manufacturing (RM) methodology will be used for producing small individual lot sizes, new solution for joining and assembling these components are needed. On the other hand, the non-availability of existing operational knowledge and the absence of dynamic and explicit knowledge retrieval minimize the achievement of on-demand capabilities. Thus, in this paper, an approach for an Intelligent Production System will be introduced. The concept is based on three interlinked main modules: a Technology Data Catalogue (TDC) based on an ontology system, an Automated Scheduling Processor (ASP) based on graph theory and a central Programmable Automation Controller (PAC) for real-time sensor/actor communication. The concept is being implemented in a laboratory set-up with several assembly and joining processes and will be experimentally validated in some research and development projects.},
doi = {10.1063/1.2952991},
url = {https://www.osti.gov/biblio/21143560}, journal = {AIP Conference Proceedings},
issn = {0094-243X},
number = 1,
volume = 1019,
place = {United States},
year = {Thu Jun 12 00:00:00 EDT 2008},
month = {Thu Jun 12 00:00:00 EDT 2008}
}