• Journal of the Korean Professional Engineers Association
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• v.12 no.3
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• pp.18-22
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• 1979

"In summary, the freezing facilitty manufacturing industry has a bright prospects for further development. So followings are recommended: 1) The import restriction policy should be continued to expand the demand for the 10callT manufactured facilities, 2) Training of local people and import of advanced technologies should be encouraged 3) The capacities of the local manufacturing industry should be expanded to meet the: increasing demand for the facilities, 4) Further incentives should be affered to the freezing & cold storage sector for the repla¬cement of the worm-out facilities 5) The marketing channel of marine products should be reorganized into ""cold-chain system"" by providing a legislative supports."

• 제어로봇시스템학회:학술대회논문집
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• 2002.10a
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• pp.46.2-46
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• 2002

Plasma processing plays a crucial role in fabricating integrated circuits (ICs). Manufacturing ICs in a cost effective way, it is increasingly demanded a computer model that predicts plasma properties to unknown process inputs. Physical models are limited in the prediction accuracy since they are subject to many assumptions. Expensive computation time is another hindrance that prevents their widespread used in manufacturing site. To circumvent these difficulties inherent in physical models, neural networks have been used to learn nonlinear plasma data [1]. Among many types of networks, a backpropagation neural network (BPNN) is the most widely used architecture. Many training variables are...

• Proceedings of the Safety Management and Science Conference
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• 2002.11a
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• pp.233-238
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• 2002

The product process is sequence of all the required activities that a company must perform to develop, and manufacture a product. These activities include marketing, research, engineering design, quality assurance, manufacturing, and a whole chain of suppliers and vendors. The process also comprises all strategic planning, capital investments, management decisions, and tasks necessary to create a new product. manufacturing processes must be created so that the product can be produced in the product facility Purchasing new equipment and training workers may be required if new technology is to be used. Tools, fixtures, and the sequence of steps in the manufacturing processes must all be developed to allow rapid, high-quality, cost effective production. Also, it may be needed to be rearrange the production facility to adapt to the new manufacturing processes. Therefore, this study tries to proposed that Scheduling by customer needs group for minimizing the problem and reducing inventory, product development time, cycle time, and order lead time.

• Journal of the Korea Fashion and Costume Design Association
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• v.19 no.4
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• pp.75-91
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• 2017

This study investigated how learning motivation affects satisfaction with training and employment services and its performance for participants in government-supported job skill development program of the clothing industry so as to provide fundamental data for developing a training program that fosters professionals and relieves the labor shortage in the clothing industry. 180 copies of questionnaires were statistically analyzed by SPSSWIN 21.0. Most trainees were low-income citizens in their 40s and 50s. They were divided into highly educated or low-educated. The results of the research are as follows: when the trainees were motivated by the goals of getting a certificate or a job, employment service satisfaction levels were influenced meaningfully. Secondly, educational satisfaction levels and occupational ability development also scored highly. Therefore, it is important to strengthen instructors' competency. Instructors must be required to have onsite experience so that they can provide authentic education that can be applied to the work field. The government should establish a compulsory training session for the trainers along with an incentive program so that they can catch up with up-to-date technology and trend. Third, the research shows that supporting business startup and job placement is important. Follow-up management systems should be provided in cooperation with relevant institutions of employment and business startups. Either outsourcing or placement of professional advisors is also needed.

• Industry Promotion Research
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• v.2 no.1
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• pp.85-91
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• 2017

This study analyzed the effect of NCS - based education and training of small and medium manufacturing on job performance. The results of this study were as follows: First, the effects of NCS education and training on job performance(p<.001, ${\beta}=5.130$) were analyzed. As a result, (p<.01, ${\beta}=3.783$) and on-the-job training had a significant effect on job attitude (p <.05, ${\beta}=-2.448$). (P <.01, ${\beta}=.740$), job skill and collective education (p <.01, ${\beta}=.459$), and job skill (P <.01, ${\beta}=.575$), job attitude and field training (p <.05, ${\beta}=-.320$), collective education and field training (p < .268) were found to be correlated. Third, the analysis of the effect of the age of general characteristics on job attitude showed that the fifties (3.75) had higher attitude than the 20s (3.44), 30s (3.26) and 40s (3.63). The purpose of this study is to investigate the effect of NCS - based education and training on the job performance of small and medium manufacturing industries.

• Safety and Health at Work
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• v.13 no.3
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• pp.343-349
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• 2022

Background: In the United States, the dairy product manufacturing industry has consistently had higher rates of work-related nonfatal injuries and illnesses compared to the national average for industries in all sectors. The selection and implementation of appropriate safety performance indicators are important aspect of reducing risk within safety management systems. This study examined the leading safety indicators implemented in the dairy product-manufacturing sector (NAICS 3115) and their perceived effectiveness in reducing work-related injuries. Methods: Perceptions were collected from individuals with safety responsibilities in the dairy product manufacturing facilities. OSHA Incident Rate (OIR) and Days away, restricted and transferred (DART) rates from 2013 to 2018 were analyzed. Results: The perceived most effective leading were safety observations, stop work authority, near miss reporting, safety audits, preventative maintenance, safety inspections, safety training attendance, and job hazard analysis/safety analysis, respectively. The 6-year trend analysis showed that those implementing all eight top indicators had a slightly lower rates than those that did not implement all eight. Production focused mentality, poor training, and lack of management commitment were perceived as the leading causes of injuries in this industry. Conclusion: Collecting leading indicators with the unique interest to meet the regulatory requirements and to document the management system without the actual goal of using them as input to improve the system most probably will not lead to an effective reduction of negative safety outcomes. For leading indicators to be effective, they should be properly selected, executed, periodically evaluated and actions are taken when necessary.

• Korean Journal of Computational Design and Engineering
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• v.19 no.2
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• pp.138-147
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• 2014

In manufacturing companies, different types of production have been developed based on diverse production strategies and differentiated technologies. The production systems have become smart, factories are filled with unmanned manufacturing lines, and sustainable manufacturing technologies are under development. Nowadays, the digital manufacturing technology is being adopted and used in manufacturing industries. When this technology is applied, a lot of efforts, time and cost are required and training professionals in-house is limited. In this paper, we introduce e-FEED system (electronic based Front End Engineering and Design) that is the integrated design and analysis system for optimized manufacturing line development on virtual environment. This system provides the functions that can be designed easily using library and template based on standardized modules and analyzed automatically the logistic and capacity simulation by one-click and verified the result using visual reports. Also, we can review the factory layout using automatically created 3D virtual factory and increase the knowledge reuse by e-FEED system.

• Journal of Practical Engineering Education
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• v.6 no.1
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• pp.37-42
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• 2014

The automated visual inspection system (machine vision system) for quality assurance is important factory automation equipment in the manufacturing industries, such as display, semiconductor, etc. There is a lot of demand for the machine vision engineers. However, there are no technical training courses for machine vision technologies in vocational schools, colleges and universities. In this paper, we present the implementation of line scan camera based equipment for technical training of the automated visual inspection system. The training system consists of the X-Y stage which is widely used in machine vision industries and its variable image resolution are set to $10-30{\mu}m$. Additionally, this training system can attach the industrial illumination, either the direct illuminator or coaxial illuminator, for verifying the effect of illuminations. This means that the trainee can have a practical training in various equipment conditions and the training system is similar to the automated visual inspection system in industries.

• Journal of the Korea Safety Management & Science
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• v.18 no.4
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• pp.19-30
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• 2016

This paper addresses the problem of how to effectively use virtual reality(VR) for improving the quality of safety training systems. As the working environment and the working system in the industry are more and more complex and large-scaled, the concern with system safety is accordingly growing. Safety training systems are regarded as an effective way for increasing workers' interest in system safety and enhancing their ability of preventing and handling accidents/incidents. Recently, it has been reported that VR would be effectively used for improving the quality of safety training systems, with its technically specialized features. However, little attention has been given to the problem of how to effectively use VR for safety training systems. In order to make the best use of new technology such as VR, it is important to examine its advantages and disadvantages and the contexts to which its use can be beneficial. This paper firstly reviews the current status of safety training systems and the use of VR for safety training systems in the inside and outside of the country. Next, we summarize the interview with safety managers in four manufacturing companies, which was conducted to understand the requirements of stake-holders of the issue. Based on the review and the interview, we suggested the ways of using VR in safety training systems in an effective manner. They are described from the four perspectives: development and maintenance cost, lack of specialized workers, design of accident scenarios used with VR, and empirical demonstration of the effectiveness of VR in safety training.

• Tribology and Lubricants
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• v.38 no.4
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• pp.152-161
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• 2022

Chemical mechanical planarization (CMP) is a technology that planarizes the surfaces of semiconductor devices using chemical reaction and mechanical material removal, and it is an essential process in manufacturing highly integrated semiconductors. In the CMP process, a conditioning process using a diamond conditioner is applied to remove by-products generated during processing and ensure the surface roughness of the CMP pad. In previous studies, prediction of pad wear by CMP conditioning has depended on numerical analysis studies based on mathematical simulation. In this study, using an artificial neural network, the ratio of conditioner coverage to the distance between centers in the conditioning system is input, and the average conditioning density, standard deviation, nonuniformity (NU), and conditioning density distribution are trained as targets. The result of training seems to predict the target data well, although the average conditioning density, standard deviation, and NU in the contact area of wafer and pad and all areas of the pad have some errors. In addition, in the case of NU, the prediction calculated from the training results of the average conditioning density and standard deviation can reduce the error of training compared with the results predicted through training. The results of training on the conditioning density profile generally follow the target data well, confirming that the shape of the conditioning density profile can be predicted.