ABSTRACT
Many different types of PCB defects can occur throughout the printed circuit board assembly process. The procedure of quality control is essential. A human inspection is important to ensure that the PCBA is delivered in excellent condition. It is critical to train QC employees to understand PCBA inspection standards to determine which PCBAs are acceptable. High rates of PCBA reject, even though the defects are acceptable to the customer, will have an impact on production costs. To improve Quality control performance, the development of decision-making skills of PCBA visual inspection employees was researched. Because to the COVID19 situation, case-based training was provided via online tools. However, in order to clear up any misunderstandings and conduct PCBA inspection tests, face-to-face discussion was still needed. In addition, the trained QC employee's performance was measured using attribute gauge repeatability and reproducibility, which indicated that the QC employee's decision-making capability had increased. When compared to appraisers before training and standard respectively, employee inspection performance was 11.94 % and 5.69 % better. © 2022 IEEE.
ABSTRACT
The COVID-19 epidemic has rapidly spread in the electronics industry, resulting in a lack of labor in the production of products for export. Because employees were infected with COVID-19 and had to stop being detained according to government policies. Reasons for the rapid spread are born from employees' not having a proper understanding of the care and protecting themselves from COVID-19. Therefore, it is necessary to develop a training model in accordance with the current situation to increase the understanding of COVID-19 for employees. In this paper, we propose a training style through the application of mobile learning, accompanying the illustrated cartoons, to strengthen the surveillance, prevention, and control behaviors of COVID-19 among employees in the electronics industry. The samples in this study were five hundred and twelve employees in the electronics industry, factory 8. we have developed a mobile learning training model where employees scan QR-CODE and register for training. assessment and measurement of learning achievement before training and after training of employees in the electronics industry, employee behavior observation records and assesses satisfaction with the training style through the application of mobile learning, accompanying the illustrated cartoons, to strengthen the surveillance, prevention, and control behaviors of COVID-19 among employees in the electronics industry. An academic achievement after learning of employees is higher than an academic achievement before training. Statistically significant at the 0.01 level. After training, employees have behaviors of surveillance, prevention, and control of COVID-19 in the electronics industry than before training. Statistically significant at the 0.05 level. The employees who are trained by the application of mobile learning, accompanying the illustrated cartoons, are very satisfied. © 2022 IEEE.