• Proceedings of the Safety Management and Science Conference
• /
• 2000.11a
• /
• pp.1-5
• /
• 2000

With the advent of the internet era, web-based virtual training system is gaining its importance in recent years. Because of the fact that the training can take place in any place and at any time, the virtual system is now replacing many of the conventional off-line classes. Hardware environments such as communication bandwidth and computer performance gets fast enough to accommodate the virtual education. Based on the observations on current virtual training system, this paper proposes three critical design rules required when developing a new virtual training system: i) With conceptual mapping, the menu hierarchy can be organized in a clear-cut manner, ii) Extensive use of multimedia tools can help students keep their attention to the lecture materials, and iii) Provision of interaction mechanisms helps students to gain their identity and motivation.

• Journal of Practical Engineering Education
• /
• v.14 no.1
• /
• pp.109-118
• /
• 2022

The purpose of this study is to derive implications for establishing vocational training education policies in Korea by investigating COVID-19 countermeasures in the United States, Germany, Switzerland, Australia, the United Kingdom, and Singapore, which are representative vocational education training countries. The implications derived from the survey of leading countries in vocational education training are as follows. First, in order to respond to COVID-19, face-to-face vocational education training was quickly converted to online education. Second, the system was strengthened to overcome the crisis of the apprenticeship system, especially the British and Australian governments established a special budget for the apprenticeship system. Third, due to COVID-19, blended learning has become a new standard education model, accelerating the digitalization of vocational education training. Finally, leading countries in vocational education training are promoting the development of the edutech industry to support online education. This provides important implications for the direction of change in vocational education training in South Korea.

• Industrial Engineering and Management Systems
• /
• v.11 no.3
• /
• pp.255-265
• /
• 2012

Environments surrounding production sites have changed greatly in recent years. Accommodating environmental changes calls for the design and development of information systems that center on production lines. There is a need for a training program that teaches learners to understand the particulars of an operation and apply that knowledge to an information system. In this research, we used material requirements planning (MRP) as the subject for which basic skills are to be taught and developed an MRP exercise-based training program. The program is designed for 13 lectures of 90 minutes each, and it consists of MRP exercises, modeling methods to represent them, the use of a programming language for system development, and finally, evaluation of the exercises. Lecture materials are described in 505 lecture slides using Microsoft PowerPoint to allow visualization of topics through graphs and models. The developed training program was then delivered to 86 college students, and its results were measured through quizzes to verify educational effectiveness.

• Journal of Korean Society of Industrial and Systems Engineering
• /
• v.35 no.2
• /
• pp.204-211
• /
• 2012

In this study, appropriate preventive measures are suggested as follows by analyzing industrial accident cases occurred for five years of company J and workers' survey. First, personnel management including meticulous shift work and rotation task for older workers should be made strictly in terms of safety and health management. Second, Industrial disasters occurred more in spring than in other seasons, so safety management will have to be enhanced in spring. That is, to reduce industrial disaster various occupational safety and health activities to prevent spring fatigue are needed. Third, to improve safety consciousness of workers, penalties for those who have not received safety training and for people without protective equipment are required. Also, hazard prediction training such as Tool Box Meeting shall be proceeded. Fourth, building of proactive safety culture that the workers themselves handle risk factors is urgent. Fifth, the company-wide safety and health programs including safety awards and cases presentation are needed to be planned.

• Journal of the Korea Academia-Industrial cooperation Society
• /
• v.22 no.4
• /
• pp.345-352
• /
• 2021

The Republic of Korea Army (ROK Army) is trying to improve the effectiveness of education and training. On the other hand, there are many restrictions in actual training, limiting their practical education and training. Virtual reality technology is being used to overcome these limitations. Virtual reality technology is developing in various types, and the ROK Army needs to introduce a virtual reality training system for cost-effective education. The ROK Army mainly uses high-cost simulator-types that are similar to real equipment. Recently, a low-cost immersive-type virtual reality training system wearing an HMD is also being used. This study analyzed the cost education effectiveness of simulator-type and immersive-type virtual reality training systems in operation at the ROK Army air defense school. First, the research method used AHP to analyze the educational effects. Second, the cost was applied to the production cost of the virtual reality training system to analyze the cost-effectiveness of the education. The immersion-type was 3.4 times higher than the simulator-type in terms of cost effectiveness. These results can be used as basic data for analyzing the cost-effectiveness of a virtual reality training system.

• Journal of Practical Engineering Education
• /
• v.11 no.2
• /
• pp.283-289
• /
• 2019

Recently, product mobility, data compatibility and communication connectivity have become very important to the control system, depending on the application of smart manufacturing. Accordingly, embedded systems are essential in all industries including home appliances, telecommunication, and national defense. Therefore, the demand for embedded system development personnel is increasing further, and education and training programs are needed to combine the practical skills of industrial sites, including programming skills and hardware. Currently, embedded system education offers a variety of education centered on Aduino, but this is mostly for beginners and is not sufficient for majors. In addition, while various prototype studies related to embedded systems are active, the training and training programs for working-level human resources needed at industrial sites are very scarce. Therefore, in order to foster the working personnel of the embedded system for the application of smart manufacturing, this paper selected the capability unit through in-depth interviews and survey analysis of 10 experts based on NCS, and developed education and training programs and contents.

• Proceedings of the Korea Society for Industrial Systems Conference
• /
• 2009.05a
• /
• pp.49-58
• /
• 2009

In business training, the biggest change through training plan, choosing trainees and conducting the training has been on education environment by information system. These changes are to attain effective learning based on the customer not the supplier. However there are still passive operation on the companies' strategic training course. Accordingly, the purpose of this study is to offer alternatives for the difficulties on educational training operation and to find the way for effective operation.

• Journal of Korean Society of Industrial and Systems Engineering
• /
• v.21 no.45
• /
• pp.365-374
• /
• 1998

Control Chart is a powerful tool to detect that process is in control or out of control. CIM can have real effect when CIM involve automated quality control. A neural network approach is used for unnatural pattern detecting of control chart. The previous moving window method uses all unnatural pattern that is detected as moving time window. Therefore, It trains a large number of unnatural pattern and takes training time long. In this paper, the proposed method tests a small number of training unnatural pattern which modifies test data without repeating time. We shows that the proposed method has differences In training time and identification rate on the previous moving windows method. As results, we reduced training time and obtain the same identification rate.

• Journal of Korean Society for Quality Management
• /
• v.45 no.4
• /
• pp.677-696
• /
• 2017

Purpose: This study suggests that Six Sigma MBB should be used as a key talent to lead the fourth industrial revolution era by training them with big data processing capability. Methods: Through the analysis between articles on the fourth industrial revolution and Six Sigma related papers, common competencies of data scientists and Six Sigma MBBs were identified and the big data analysis capabilities needed for Six Sigma MBB were derived. Then, training was conducted to improve the big data analysis capabilities so that Six Sigma MBB is able to design algorithms required in the fourth industrial revolution era. Results: Six Sigma MBBs, equipped with the knowledge in field site improvement and basic statistics, were provided with 40 hours of big data analysis training and then were made to design a big data algorithm. Positive results were obtained after applying a AI algorithm which could forecast process defects in a field site. Conclusion: Six Sigma MBB equipped with big data capability will make the best talent for the fourth industrial revolution era. A Six Sigma MBB has an excellent capability for improving field sites. Utilizing the competencies of MBB can be a key to success in the fourth industrial revolution. We hope that the results of this study will be shared with many companies and many more improved case studies will arise in the future as a result of this study.

• Journal of Computational Design and Engineering
• /
• v.2 no.3
• /
• pp.137-147
• /
• 2015

In this study, a new methodology in predicting a system output has been investigated by applying a data mining technique and a hybrid type II fuzzy system in CNC turning operations. The purpose was to generate a supplemental control function under the dynamic machining environment, where unforeseeable changes may occur frequently. Two different types of membership functions were developed for the fuzzy logic systems and also by combining the two types, a hybrid system was generated. Genetic algorithm was used for fuzzy adaptation in the control system. Fuzzy rules are automatically modified in the process of genetic algorithm training. The computational results showed that the hybrid system with a genetic adaptation generated a far better accuracy. The hybrid fuzzy system with genetic algorithm training demonstrated more effective prediction capability and a strong potential for the implementation into existing control functions.