The performance evaluation of manufacturing systems is a critical and difficult task to be addressed throughout the factory life-cycle phases, including the early design, detailed design, ramp-up, reconfiguration, and monitoring. An efficient and effective performance evaluation may have a relevant impact on the profitability of an industrial company. This paper addresses the application of a data model for virtual factories to the performance evaluation problem, aiming at exploiting the interoperability with other software tools to continuously update the virtual representation of a manufacturing system, so that accurate estimations can be obtained. A test case is described and then used to check the viability of the proposed approach in the case of Discrete Event Simulation (DES) based on a commercial software tool like Arena.

Virtual factory data model to support performance evaluation of production systems

Terkaj W;
2012

Abstract

The performance evaluation of manufacturing systems is a critical and difficult task to be addressed throughout the factory life-cycle phases, including the early design, detailed design, ramp-up, reconfiguration, and monitoring. An efficient and effective performance evaluation may have a relevant impact on the profitability of an industrial company. This paper addresses the application of a data model for virtual factories to the performance evaluation problem, aiming at exploiting the interoperability with other software tools to continuously update the virtual representation of a manufacturing system, so that accurate estimations can be obtained. A test case is described and then used to check the viability of the proposed approach in the case of Discrete Event Simulation (DES) based on a commercial software tool like Arena.
2012
Istituto di Sistemi e Tecnologie Industriali Intelligenti per il Manifatturiero Avanzato - STIIMA (ex ITIA)
Data Model
Discrete Event Simulation
Manufacturing Systems
Ontology
Performance Evaluation
Virtual Factory
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.14243/224344
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