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Accurately modeling productivity is essential for ensuring that the results of construction process simulation models align with actual practice. Since collecting quantitative data is challenging and expensive, productivity models are often built using the information provided by industry experts. The subjectivity of this information, however, comm...
Predicting remaining useful life (RUL) of critical machines in heavy maintenance industries, such as oil refineries and upgrading, is crucial to deliver robust and cost-effective plans for resource procurement and maintenance scheduling in a challenging and constrained work environment. Statistical methods have been extensively utilized based on co...
Predicting remaining useful life (RUL) of critical machines in heavy maintenance industries, such as oil refineries and upgrading, is crucial to deliver robust and cost-effective plans for resource procurement and maintenance scheduling in a challenging and constrained work environment. Statistical methods have been extensively utilized based on co...
