Quality Control System in Cigarette Manufacturing Based on Employee Portrait

Weixi Kong, Qiying Li, Zhou Qian, Yingkui Zhou, Ruiqi Wang, Mao Ao, Jun Zha, Biao Tao

2022

Abstract

How to improve product quality has always been a pain point and difficult problem that plagues the tobacco industry. Employee behaviour is an important factor affecting product quality. In this sense, we propose one method for quality control in cigarette manufacturing based on employee portrait. Quality Control System is composed of behaviour recognition system, evaluation system and early warning system. The employee behaviour is recognized by recognition system and behaviour data is obtained. Combining with the equipment operating parameters, evaluation system calculates employee behaviour score based on the proposed evaluation index system. Behaviour data and behaviour score compose the employee portrait. The early warning system issues warnings to the employees and the managers when abnormal behaviour is recognized, quality inspection is not carried out within the specified time, and the behaviour score is below the threshold. Its application had improved product quality and efficiency.

Paper Citation

in Harvard Style

Kong W., Li Q., Qian Z., Zhou Y., Wang R., Ao M., Zha J. and Tao B. (2022). Quality Control System in Cigarette Manufacturing Based on Employee Portrait. In Proceedings of the 3rd International Symposium on Automation, Information and Computing - Volume 1: ISAIC; ISBN 978-989-758-622-4, SciTePress, pages 182-190. DOI: 10.5220/0011917400003612

in Bibtex Style

@conference{isaic22,
author={Weixi Kong and Qiying Li and Zhou Qian and Yingkui Zhou and Ruiqi Wang and Mao Ao and Jun Zha and Biao Tao},
title={Quality Control System in Cigarette Manufacturing Based on Employee Portrait},
booktitle={Proceedings of the 3rd International Symposium on Automation, Information and Computing - Volume 1: ISAIC},
year={2022},
pages={182-190},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0011917400003612},
isbn={978-989-758-622-4},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 3rd International Symposium on Automation, Information and Computing - Volume 1: ISAIC
TI - Quality Control System in Cigarette Manufacturing Based on Employee Portrait
SN - 978-989-758-622-4
AU - Kong W.
AU - Li Q.
AU - Qian Z.
AU - Zhou Y.
AU - Wang R.
AU - Ao M.
AU - Zha J.
AU - Tao B.
PY - 2022
SP - 182
EP - 190
DO - 10.5220/0011917400003612
PB - SciTePress