Autor: |
Raharno, Sri, Setiawan, Ari, Hartono, Rachmad, Prayoga, Harry, Zulfahmi, Muhammad, Yosephine, Vina S. |
Předmět: |
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Zdroj: |
AIP Conference Proceedings; 2023, Vol. 2485 Issue 1, p1-9, 9p |
Abstrakt: |
A rolling stock industry in Indonesia has been facing the problem of delays in delivering trainsets. One of the delays came from the bogie assembling workstation, which was caused by unprepared work information and material availability on the production shop floor. The proposed solution was to develop the Smart Factory that utilizes Internet of Things (IoT), sensors and connectivity between departments within industry. The model consists of hardware such as single board computer (SBC), RFID and QR-Code reader to read the information in shop floor. The data is sent and stored to the database to be processed into decisions for other organizational units. Data is transferred using the internet network and IoT devices. The model has specific User Interface that built in single board computer of Smart Factory. The prototype of Smart Factory Model has been built in the laboratory scale. The simulation of the prototype showed that the model could present the data precisely. The product structure model was used to create the material model which required for production. Therefore, the operators worked based on the real time data from the material model. [ABSTRACT FROM AUTHOR] |
Databáze: |
Complementary Index |
Externí odkaz: |
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