Strategical selection of maintenance type under different conditions.
Hamasha MM +10 more
europepmc +1 more source
Competence-Based Assessment of Biomedical Equipment Management and Maintenance System (e-Upkaran) Using Benefit Evaluation Framework. [PDF]
Bhardwaj P +12 more
europepmc +1 more source
Machine Learning-Based Surrogate Model for Press Hardening Process of 22MnB5 Sheet Steel Simulation in Industry 4.0. [PDF]
Abio A +6 more
europepmc +1 more source
Personalization of the MES System to the Needs of Highly Variable Production. [PDF]
Zwolińska B +3 more
europepmc +1 more source
Uncovering the Influence of Operational Factors on Manufacturing Efficiency with Real Time Data. [PDF]
Bhosale P, Jadhav S.
europepmc +1 more source
Enhanced Changeover Detection in Industry 4.0 Environments with Machine Learning. [PDF]
Miller E +5 more
europepmc +1 more source
A data-driven framework for evaluating maintenance crews in fertilizer manufacturing units. [PDF]
Y V S S S V PR.
europepmc +1 more source
A Multimodal IMU-RTLS Manufacturing Motion Dataset for Worker Activity Recognition. [PDF]
Sbaragli A, Nardello M.
europepmc +1 more source
From Corrective to Predictive Maintenance-A Review of Maintenance Approaches for the Power Industry. [PDF]
Molęda M +4 more
europepmc +1 more source
Overall Equipment Effectiveness (OEE) Methodology Applied to the TSO: State-of-the-Art and Prospects
Overall Equipment Effectiveness (OEE) was created as a tool to measure the productivity of company equipment. It provides a complete view of the performance of production equipment in terms of productivity and efficiency.
Colangeli F. +8 more
core +1 more source

