Now showing items 1-6 of 6
Sensor signal selection for tool wear curve estimation and subsequent tool breakage prediction in a drilling operation
(Taylor & Francis, 2021)
Tool condition monitoring have an important role in machining processes to reduce defective component and ensure quality requirements. Stopping the process before the tool breaks or an excessive tool wear is reached can ...
Surface roughness assessment on hole drilled through the identification and clustering of relevant external and internal signal statistical features
Drilling is a continuous cutting process where two or more cutting edges remove the material, to obtain the desired feature. During the chip evacuation, it generally rubs against the generated surface. Thus, the roughness ...
A case study on the use of machine learning techniques for supporting technology watch
Technology Watch human agents have to read many documents in order to manually categorize and dispatch them to the correct expert, that will later add valued information to each document. In this two step process, the first ...
Robustness of inventory replenishment and customer selection policies for the dynamic and stochastic inventory-routing problemRobustness of inventory replenishment policies and client selection methods for the stochastic and dynamic inventory-routing problem
When inventory management, distribution and routing decisions are determined simultaneously, implementing a vendor-managed inventory strategy, a difficult combinatorial optimization problem must be solved to determine which ...
A modified genetic algorithm applied to the elevator dispatching problem
Reduction of passenger waiting time in a multiple elevator system is an important goal in the lift industry. Genetic algorithms (GAs) have been applied to the dispatching problem in vertical transportation. In this paper, ...