Contribution to the sustainability of the plastics industry in Cuba through lean-green maintenance management

Pérez, Marian Pérez; Rodríguez, Ángel T. Pérez; Martínez, Estrella M. de la Paz

doi:10.1016/j.ifacol.2022.09.679

Cited by 4 publications

(1 citation statement)

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“…The integration of SS with I4.0 is becoming more and more popular in the academic community [41]. In [71] the authors indicate the possibility and potential benefits of integrating AI, Big Data, and IoT tools. By collecting data using sensors and interconnected machines, the second phase of the DMAIC cycle -Measure -can be significantly accelerated [74].…”

Section: Fourth Generation (2011-)mentioning

confidence: 99%

Application of Principle Component Analysis and logistic regression to support Six Sigma implementation in maintenance

Antosz,

Jasiulewicz - Kaczmarek,

Machado

et al. 2023

Eksploatacja i Niezawodność – Maintenance and Reliability

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Improving the efficiency of maintenance processes is one of the goals of companies. Improvement activities in this area require not only an appropriate maintenance strategy but also the use of a new approach to increase the efficiency of the process. This article focuses on using Six Sigma (SS) to improve maintenance processes. As an introduction, the generations of SS development are identified, and traditional and advanced analytical tools that can be useful in SS projects are reviewed. As part of the research, an example of the implementation of the SS project in the maintenance process using the DMAIC and selected advanced analytical methods, such as PCA and logistic regression, was presented. The PCA results showed that it was enough to have seven main components to keep about 84% of the information on variability. In developed logistic regression explained the impact of the individual factors affecting the availability of the machines. The identified factors and their interactions made it possible to define maintenance activities requiring improvements.

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Section: Fourth Generation (2011-)mentioning

confidence: 99%