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Mostrando ítems 1-5 de 5
Artículo
Impacts of a Tracking and Tracing System for Containers in a Port-Based Supply Chain
(Brazilian Association for Industrial Engineering and Operation Management, 2016)
Purpose - Intermodal transport chains often appear as “black boxes” to the cargo owners and their clients, who lose track of the container until it arrives at the final end of the chain. The paper discusses why a tracking ...
Artículo
Trends and Applications of Machine Learning in Water Supply Networks Management
(OmniaScience, 2021)
Purpose: This study describes the trends and applications of machine learning systems in the management of water supply networks. Machine learning is a field in constant development, and it has a great potential and ...
Artículo
Estimation of a logistic regression model by a genetic algorithm to predict pipe failures in sewer networks
(Springer, 2021-09)
Sewer networks are mainly composed of pipelines which are in charge of transporting sewage and rainwater to wastewater treatment plants. A failure in a sewer pipe has many negative consequences, such as accidents, flooding, ...
Artículo
Single station MILP scheduling in discrete and continuous time
(Springer Link, 2024)
This article focuses on production planning in the metallurgical sector. This study undertakes a detailed comparative study of mixed-integer linear programming models using different time representations: continuous and ...
Artículo
Predicting the clothing insulation through machine learning algorithms: A comparative analysis and a practical approach
(Springer Link, 2024-05)
Since indoor clothing insulation is a key element in thermal comfort models, the aim of the present study is proposing an approach for predicting it, which could assist the occupants of a building in terms of recommendations ...