Research on the Application of QR Code Technology in Quality Sampling Inspection of Packaging Paper for Roll-Type Boxes in Tobacco Materials
- DOI
- 10.2991/978-94-6463-504-1_13How to use a DOI?
- Keywords
- packaging paper for roll-type boxes; Spot-check; Quality control; QR Code
- Abstract
Currently, the conventional method of packaging paper for roll-type boxes in tobacco materials involves arrival-based sampling, where quality inspectors randomly select a number of units from the entire shipment to serve as inspection samples. This sampling method is significantly influenced by human factors, which can affect the representativeness of the samples. To enhance the quality control measures for packaging paper for roll-type boxes in tobacco materials, it is crucial to leverage new technologies to improve sample representativeness. This paper presents an analysis and discussion on this subject, offering valuable insights for the deployment of QR Code spot-checking in the tobacco industry.
- Copyright
- © 2024 The Author(s)
- Open Access
- Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.
Cite this article
TY - CONF AU - Lei Zhou AU - Wei Wang AU - Hao Huang AU - Hui Yang AU - Yongzhong Xu AU - Fan Wu AU - Dawei Huang AU - Ning Ji AU - Hongchang Shang PY - 2024 DA - 2024/08/31 TI - Research on the Application of QR Code Technology in Quality Sampling Inspection of Packaging Paper for Roll-Type Boxes in Tobacco Materials BT - Proceedings of the 2024 3rd International Conference on Information Economy, Data Modelling and Cloud Computing (ICIDC 2024) PB - Atlantis Press SP - 115 EP - 125 SN - 2352-538X UR - https://doi.org/10.2991/978-94-6463-504-1_13 DO - 10.2991/978-94-6463-504-1_13 ID - Zhou2024 ER -