Browsing by Author "Davanzo, Giuseppe Antonio Setem"
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- Digitization of Gauge inspection control procedurePublication . Davanzo, Giuseppe Antonio Setem; Piardi, Luis; Aikes Junior, Jorge; Leitão, Paulo; Pellegri, UmbertoGauge inspection tools are usually used for the visual and geometrical tolerances verification, using paper tutorials for guidance through the inspection steps and paper to register the results of the performed inspection. This practice may be misleading to the quality control management, not providing an effective and error-prone quality control operation. This paper proposes a cost-effective solution for supporting the realization of gauge inspection control procedures by using emergent technologies, namely Human-Machine interfaces and virtual reality, to guide more efficiently the operators during the execution of their tasks, and using Internet of Things (IoT) and cloud technologies to dynamically collect and store the inspection results. The proposed solution was deployed in an industrial production facility, with the achieved results showing its efficiency and robustness, as well as a very positive feedback from the operators. This solution also contributes for a faster and more efficient execution of inspection tests, particularly reducing the setup time required to change the product reference being inspected.
- Digitization of industrial quality control procedures applied to visual and geometrical inspectionsPublication . Davanzo, Giuseppe Antonio Setem; Leitão, Paulo; Aikes Junior, JorgeIndustries quality control procedures are usually dependent on gauge inspection tools, and these tools are used to inspect visual and geometrical tolerance conformity. Operators are guided during an inspection by using paper tutorials that assist them in performing their tasks and registering the result of the performed analysis. This traditional method of registering information may be misleading, lowering the effectiveness of the quality control by providing inaccurate and error-prone inspection results. This work implements a system that uses emergent technologies (e.g., Human-Machine Interfaces, Virtual Reality, Distributed Systems, Cloud Computing, and Internet of Things (IoT)) to propose a costeffective solution that supports operators and quality control managers in the realization and data collection of gauge inspection control procedures. The final system was deployed in an industrial production plant, with the delivered results showing its efficiency, robustness, and highly positive feedback from the operators and managers. The software may offer a quicker and efficient execution of analysis tasks, significantly decreasing the setup time required to change the inspected product reference.