Real-time optimization and monitoring of 3D printers: a case study at Universidad Valle del Momboy
DOI:
https://doi.org/10.70219/mby-242025-405Keywords:
Additive manufacturing, operational surveillance, automated management, productivity, technical excellenceAbstract
This research focuses on the creation, implementation, and analysis of a comprehensive mechanism for continuous monitoring and management of additive manufacturing operations at Universidad Valle del Momboy (UVM), seeking to maximize both efficiency and excellence of manufactured products. The development consisted of configuring a technological platform based on Raspberry Pi 4, establishing a bilateral information exchange channel with three-dimensional printing equipment, facilitating permanent surveillance and immediate identification of operational anomalies. The adopted methodological strategy was characterized by a hybrid paradigm that integrates numerical and descriptive perspectives through the implementation of structured questionnaires, directed conversations, and systematic event recording. The findings show substantial improvements in the excellence of manufactured products along with a considerable reduction in operational failures and material losses. Data collection instruments applied to specialized personnel and end users revealed high levels of acceptance and favorable assessment regarding the mechanism's impact on operational effectiveness. The main conclusion establishes that the incorporation of this system notably enhances additive manufacturing procedures at UVM, simultaneously contributing to the improvement of institutional excellence and efficiency. Recommendations include specialized training of human resources and the execution of systematic evaluations to ensure optimal long-term functioning.
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References
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