Data-driven predictive maintenance policy based on multi-objective optimization approaches for the component repairing problem-Reference-Cited by-同舟云学术

Data-driven predictive maintenance policy based on multi-objective optimization approaches for the component repairing problem

Published:2020-10-26 Issue:10 Volume:53 Page:1752-1771
ISSN:0305-215X
Container-title:Engineering Optimization
language:en
Short-container-title:Engineering Optimization

Author:

Pisacane Ornella¹^ORCID,Potena Domenico¹^ORCID,Antomarioni Sara²^ORCID,Bevilacqua Maurizio²^ORCID,Emanuele Ciarapica Filippo²^ORCID,Diamantini Claudia¹^ORCID

Affiliation:

1. Dipartimento di Ingegneria dell'Informazione, Universitá Politecnica delle Marche, Ancona, Italy

2. Dipartimento Ingegneria Industriale e Scienze Matematiche, Universitá Politecnica delle Marche, Ancona, Italy

Publisher

Informa UK Limited

Subject

Applied Mathematics,Industrial and Manufacturing Engineering,Management Science and Operations Research,Control and Optimization,Computer Science Applications

Link

https://www.tandfonline.com/doi/pdf/10.1080/0305215X.2020.1823381

Reference39 articles.

1. Defining a data-driven maintenance policy: an application to an oil refinery plant

2. A predictive association rule-based maintenance policy to minimize the probability of breakages: application to an oil refinery

3. Risk-based maintenance policy selection using AHP and goal programming

4. Bi-Objective Ant Colony Optimization approach to optimize production and maintenance scheduling

5. A combined goal programming—AHP approach to maintenance selection problem

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