In the last decades, energy efficiency of production systems has become a key concern in several industry fields, due to the increased energy costs and the associated environmental impacts. Since research and development effort across all industries are driven by the goal of improving the productivity of industrial process, many authors investigated on the relation between energy consumption and production level. In particular, previous studies use regression analysis to predict energy required by the system, through a monitoring and targeting approach. The present paper enriches over these techniques by developing a model that takes into account also the impact of single overall equipment effectiveness (OEE) losses on energy consumption. Our analysis provides a better understanding of a system energy efficiency, useful to achieve a more effective control and fostering a continuous improvement of manufacturing performance. The proposed approach, implemented for the analysis of a thermoforming process in a real plant, is applicable to any case where the energy necessary for the functioning of a production machinery is considerable compared to the whole plant consumption.

Cesarotti, V., Introna, V., Rotunno, R., Scerrato, G. (2016). Investigating the relationship between energy consumption and overall equipment effectiveness for improving manufacturing systems' productivity: An application in the thermoforming process. INTERNATIONAL JOURNAL OF PRODUCTIVITY AND QUALITY MANAGEMENT, 18(2-3), 279-300 [10.1504/IJPQM.2016.076711].

Investigating the relationship between energy consumption and overall equipment effectiveness for improving manufacturing systems' productivity: An application in the thermoforming process

CESAROTTI, VITTORIO;INTRONA, VITO;SCERRATO, GIULIA
2016-01-01

Abstract

In the last decades, energy efficiency of production systems has become a key concern in several industry fields, due to the increased energy costs and the associated environmental impacts. Since research and development effort across all industries are driven by the goal of improving the productivity of industrial process, many authors investigated on the relation between energy consumption and production level. In particular, previous studies use regression analysis to predict energy required by the system, through a monitoring and targeting approach. The present paper enriches over these techniques by developing a model that takes into account also the impact of single overall equipment effectiveness (OEE) losses on energy consumption. Our analysis provides a better understanding of a system energy efficiency, useful to achieve a more effective control and fostering a continuous improvement of manufacturing performance. The proposed approach, implemented for the analysis of a thermoforming process in a real plant, is applicable to any case where the energy necessary for the functioning of a production machinery is considerable compared to the whole plant consumption.
2016
Pubblicato
Rilevanza internazionale
Articolo
Esperti anonimi
Settore ING-IND/17 - IMPIANTI INDUSTRIALI MECCANICI
English
control charts; regression analysis; targeting; control; energy consumption; productivity management; quality management; overall equipment effectiveness; OEE; energy efficiency; continuous improvement; multivariate statistics; thermoforming; manufacturing productivity; environmental impact; manufacturing performance; sustainability; sustainable development.
http://www.inderscience.com/dev/search/index.php?mainAction=search&action=record&rec_id=76711&prevQuery=&ps=10&m=or
Cesarotti, V., Introna, V., Rotunno, R., Scerrato, G. (2016). Investigating the relationship between energy consumption and overall equipment effectiveness for improving manufacturing systems' productivity: An application in the thermoforming process. INTERNATIONAL JOURNAL OF PRODUCTIVITY AND QUALITY MANAGEMENT, 18(2-3), 279-300 [10.1504/IJPQM.2016.076711].
Cesarotti, V; Introna, V; Rotunno, R; Scerrato, G
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/2108/181079
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