Decision making in predictive maintenance: Literature review and research agenda for industry 4.0

A Bousdekis, K Lepenioti, D Apostolou, G Mentzas - IFAC-PapersOnLine, 2019 - Elsevier
The emergence of Industry 4.0 has led to a wide use of sensors which have facilitated
manufacturing operations. Predictive maintenance has significantly benefited from these …

Real-time integrated production-scheduling and maintenance-planning in a flexible job shop with machine deterioration and condition-based maintenance

M Ghaleb, S Taghipour, H Zolfagharinia - Journal of Manufacturing Systems, 2021 - Elsevier
The introduction of modern technologies in manufacturing is contributing to the emergence
of smart (and data-driven) manufacturing systems, known as Industry 4.0. The benefits of …

A state of the art of predictive maintenance techniques

P Coandă, M Avram, V Constantin - IOP Conference Series …, 2020 - iopscience.iop.org
Nowadays in industry there is a great and increasing demand in resource management,
taking into consideration the ever-growing complexity of technical systems. The concept of …

Smart Maintenance Decision Support Systems (SMDSS) based on corporate big data analytics

D Bumblauskas, D Gemmill, A Igou… - Expert systems with …, 2017 - Elsevier
The purpose of this article is to outline the architectural design and the conceptual
framework for a Smart Maintenance Decision Support System (SMDSS) based on corporate …

An industry 4.0-enabled low cost predictive maintenance approach for smes

E Sezer, D Romero, F Guedea… - … and Innovation (ICE …, 2018 - ieeexplore.ieee.org
This paper outlines the base concepts, materials and methods used to develop an Industry
4.0 architecture focused on predictive maintenance, while relying on low-cost principles to …

A data-driven predictive maintenance framework for injection molding process

S Farahani, V Khade, S Basu, S Pilla - Journal of Manufacturing Processes, 2022 - Elsevier
Injection molding is the most common process to produce a wide range of complex plastic
parts for many different applications, and a large number of machines and devices used in …

Combining natural language processing and multidimensional classifiers to predict and correct CMMS metadata

A Deloose, G Gysels, B De Baets, J Verwaeren - Computers in Industry, 2023 - Elsevier
Computerized maintenance management systems (CMMSs) contain valuable data on the
maintenance operations in an organization. A large part of these data consists of …

[HTML][HTML] Predictive maintenance for injection molding machines enabled by cognitive analytics for industry 4.0

V Rousopoulou, A Nizamis, T Vafeiadis… - Frontiers in Artificial …, 2020 - frontiersin.org
The exploitation of big volumes of data in Industry 4.0 and the increasing development of
cognitive systems, strongly facilitate the realm of predictive maintenance for real-time …

Exploratory analysis of SCADA data from wind turbines using the K-means clustering algorithm for predictive maintenance purposes

PC Rodriguez, P Marti-Puig, CF Caiafa, M Serra-Serra… - Machines, 2023 - mdpi.com
Product maintenance costs throughout the product's lifetime can account for between 30–
60% of total operating costs, making it necessary to implement maintenance strategies. This …

Predictive maintenance on injection molds by generalized fault trees and anomaly detection

P Nunes, E Rocha, J Santos, R Antunes - Procedia Computer Science, 2023 - Elsevier
Predictive maintenance (PdM) plays a key role in the Industry since it allows optimization of
the schedule for proactive interventions and to take the maximum advantage of the useful …