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(to be completed)

 


ThinkMind // International Journal On Advances in Intelligent Systems, volume 10, numbers 1 and 2, 2017 // View article intsys_v10_n12_2017_10


A Life-cycle Equipment Labeling System for Machine Classification in Smart Factories

Authors:
Susana Aguiar
Rui Pinto
João Reis
Gil Gonçalves

Keywords: Smart factories; Equipment label; Life-cycle assessment; Re-use; Production systems

Abstract:
Nowadays, due to ever decreasing product life cycles and high external pressure to cut costs, the ramp-up of production lines must be significantly shortened and simplified. This is only possible if a forecast of the impact of modification within an existing production environment is available, helping during decision making of production methods. This type of predictions will have a direct impact on the cost-effective production process, maintaining concerns regarding the environmental and social impacts. These are the ideas behind the project Innovative Reuse of modular knowledge Based devices and technologies for Old, Renewed and New factories (ReBorn). The present paper describes the System Assessment Tool, a software application developed in ReBorn, which is used for assessing the sustainability of highly adaptive production systems through the use of Reliability, Life Cycle Cost and Life Cycle Assessment metrics, in the form of a equipment labeling scheme. This labeling scheme consists on classifying the dependability of industrial equipment, based on the collected metrics. To that intent, several simulation processes were performed, in order to assess the suitability of the labeling system, in comparison to the Quality metric that is highly preferable among the industrial partners. The simulation results show that a two-layer equipment labeling system is the most suitable approach to be used for classification.

Pages: 102 to 116

Copyright: Copyright (c) to authors, 2017. Used with permission.

Publication date: June 30, 2017

Published in: journal

ISSN: 1942-2679

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