Orders > Conference proceedings > Product lifecycle management PLM'05
(from Chapter 1: Ontologies and information models)
| Full Citation and Abstract
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Title: |
Information models to support reconfigurable manufacturing systems design |
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Author(s): |
David A. Guerra, Roberto Rosas, Ricardo Camacho, Arturo Molina |
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Address: |
Innovation in Design and Technology Center
Instituto Tecnológico y de Estudios Superiores de Monterrey,
Campus Monterrey.
Eugenio Garza Sada 2501 Sur. Col. Tecnológico. Monterrey,
N.L., Mexico.
Innovation in Design and Technology Center
Instituto Tecnológico y de Estudios Superiores de Monterrey,
Campus Monterrey.
Eugenio Garza Sada 2501 Sur. Col. Tecnológico. Monterrey,
N.L., Mexico.
Innovation in Design and Technology Center
Instituto Tecnológico y de Estudios Superiores de Monterrey,
Campus Monterrey.
Eugenio Garza Sada 2501 Sur. Col. Tecnológico. Monterrey,
N.L., Mexico.
Engineering and Architecture Division.
Instituto Tecnológico y de Estudios Superiores de Monterrey,
Campus Monterrey.
Eugenio Garza Sada 2501 Sur. Col. Tecnológico. Monterrey,
N.L., Mexico.
david.guerra @ itesm.mx, A00561612 @ itesm.mx, A00788106 @ itesm.mx, armolina @ itesm.mx |
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Reference: |
PLM-SP1, 2005 pp. 55 - 63 |
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Abstract/
Summary |
Information models (IM) is a significant issue to support the design of reconfigurable manufacturing systems (DRMS). The integration of manufacturing information models and Product Life Cycle Management (PLM) tools enhance the decision making process during the design of a reconfigurable manufacturing system. A suitable integration of PLM tools and information models are needed to improve the performance to design reconfigurable manufacturing systems and to provide digital collaboration infrastructures to support DRMS. This paper presents a novel approach to support the design and development of reconfigurable manufacturing systems through the integration of IM and PLM tools. The main purpose of the information models is to structure the information related to the product and manufacturing system in order to speed up the design, development and implementation of new reconfigurable manufacturing systems. A case study is developed in the automotive industry to demonstrate how the proposed approach is implemented. |
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