Abstract
References
- Temiztürk, O. & Pehlivan, K. (2024). Automation of IMEI label attachment process in mobile device production. The Eurasia Proceedings of Science, Technology, Engineering & Mathematics (EPSTEM), 32, 346- 351.
Abstract
The methods of sticking labels on products produced in mass production facilities can vary greatly depending on the type of product to which the label will be attached, the size of the label and the level of adhesion of the label. The suitability and performance of the label sticking method vary greatly depending on the size of the label and especially the level of adhesion of the label. In particular, the correct selection of the method of sticking labels with low adhesion to products in mass production lines significantly affects the accuracy of the sticking process, the quality and performance of the sticking process. Some mobile phone manufacturers deliver mobile phones to users with a label attached to the back of the device. This label contains IMEI number information and a QR code for the IMEI number. The code on this IMEI label is read by barcode scanners to manage production processes and applications in the production process. Depending on the country where the mobile phones will be sold, this label can be removed before the packaging process before being sent to the user, or it may be desired to send the user with the IMEI label attached to the mobile phone. In case this label is requested to be removed for various purposes, the label size is designed to be both very small and easy to remove by keeping the adhesive level low in some countries. The fact that the IMEI label is small and has a low adhesive level requires the most appropriate selection of the attachment method in mass production facilities. This article will discuss the most appropriate adhesive method for low-adhesive and small-sized IMEI labels.
References
- Temiztürk, O. & Pehlivan, K. (2024). Automation of IMEI label attachment process in mobile device production. The Eurasia Proceedings of Science, Technology, Engineering & Mathematics (EPSTEM), 32, 346- 351.
Details
| Primary Language | English |
|---|---|
| Subjects | Software Engineering (Other) |
| Journal Section | Articles |
| Authors | |
| Early Pub Date | December 16, 2024 |
| Publication Date | December 30, 2024 |
| Submission Date | May 21, 2024 |
| Acceptance Date | July 9, 2024 |
| Published in Issue | Year 2024Volume: 32 |
