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A rule-based machine learning methodology for the proactive improvement of OEE: a real case study

Laura Lucantoni, Sara Antomarioni, Filippo Emanuele Ciarapica, Maurizio Bevilacqua

International Journal of Quality & Reliability Management (2024) 41 (5): 1356–1376.

https://doi.org/10.1108/IJQRM-01-2023-0012

Published: 12 December 2023

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Data-driven approach to predict the sequence of component failures: a framework and a case study on a process industry

Sara Antomarioni, Filippo Emanuele Ciarapica, Maurizio Bevilacqua

International Journal of Quality & Reliability Management (2023) 40 (3): 752–776.

https://doi.org/10.1108/IJQRM-12-2020-0413

Published: 18 January 2022

View article titled, Data-driven approach to predict the sequence of component failures: a framework and a case study on a process industry

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A big data analytics approach to quality, reliability and risk management

Giovanni Mazzuto, Filippo Emanuele Ciarapica

International Journal of Quality & Reliability Management (2019) 36 (1): 2–6.

https://doi.org/10.1108/IJQRM-01-2019-294

Published: 21 February 2019

View article titled, A big data analytics approach to quality, reliability and risk management

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An empirical study of ISO 9000 on the supply chain of a company leader in the heating sector

Maurizio Bevilacqua, Filippo Emanuele Ciarapica, Giancarlo Giacchetta, Barbara Marchetti

International Journal of Quality & Reliability Management (2013) 30 (8): 897–916.

https://doi.org/10.1108/IJQRM-Feb-2012-0024

Published: 30 August 2013

View article titled, An empirical study of ISO 9000 on the supply chain of a company leader in the heating sector

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Journal Articles

Implementation of a quality procedure based on Delphi method and the ISO/TS 16949:2009 in the production of stainless steel tubes for automotive exhaust systems

Maurizio Bevilacqua, Filippo Emanuele Ciarapica, Giancarlo Giacchetta, Barbara Marchetti

International Journal of Quality & Reliability Management (2011) 28 (8): 841–866.

https://doi.org/10.1108/02656711111162514

Published: 06 September 2011

View article titled, Implementation of a quality procedure based on Delphi method and the ISO/TS 16949:2009 in the production of stainless steel tubes for automotive exhaust systems

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A rule-based machine learning methodology for the proactive improvement of OEE: a real case study

Data-driven approach to predict the sequence of component failures: a framework and a case study on a process industry

A big data analytics approach to quality, reliability and risk management

An empirical study of ISO 9000 on the supply chain of a company leader in the heating sector

Implementation of a quality procedure based on Delphi method and the ISO/TS 16949:2009 in the production of stainless steel tubes for automotive exhaust systems

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Update search

A rule-based machine learning methodology for the proactive improvement of OEE: a real case study

Data-driven approach to predict the sequence of component failures: a framework and a case study on a process industry

A big data analytics approach to quality, reliability and risk management

An empirical study of ISO 9000 on the supply chain of a company leader in the heating sector

Implementation of a quality procedure based on Delphi method and the ISO/TS 16949:2009 in the production of stainless steel tubes for automotive exhaust systems

Email alerts

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