• Journal of Powder Materials
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• v.29 no.2
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• pp.166-175
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• 2022

Ppuri or Root technology primarily includes technologies such as casting, mold, plastic working, welding, heat treatment and surface treatment. It is regarded as an essential element for improving the competitiveness of the quality of final products. This study investigates the current status of smart factory implementation for Ppuri companies and analyzes the influencing relationships among various company factors. The factors affecting smart factory implementation for Ppuri companies are sales, exports, number of technical employees, and holding corporate research institutes. In addition, this research shows that even if smart factory implementation is pursued for data collection, data utilization is not implemented properly. Thus, it is suggested that the implementation of smart factories requires not only the availability of facilities and systems but also proper data utilization.

• Korean Journal of Computational Design and Engineering
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• v.12 no.5
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• pp.382-394
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• 2007

Nowadays, manufacturing industries undergo constantly growing pressures for global competitions, and they must shorten time and cost in product development and production to response varied customers' requirements. Digital virtual manufacturing is a technology that can facilitate effective product development and agile production by using digital models representing the physical and logical schema and the behavior of real manufacturing systems including products, processes, manufacturing resources and plants. For successful applications of this technology, a digital virtual factory as a well-designed and integrated environment is essential. In this paper, we developed a new classification and coding system for effective managements of digital virtual factory objects, and implement a supporting application to verify and apply it. Furthermore, a digital virtual factory layout management system based on the classification and coding system has developed using XML, Visual Basic.NET and FactoryCAD. By some case studies for automotive general assembly shops of a Korean automotive company, efficient management of factory objects and reduction of time and cost in digital virtual factory constructions are possible.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.32 no.2
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• pp.132-139
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• 2009

Yield is a very important measure that can expresses simply for productivity and performance of company. So, yield is used widely in many industries nowadays. With the development of the information technology and online based real-time process monitoring technology, many industries operate the production lines that are developed into automation system. In these production lines, the product structures are very complexity and variety. So, there are many multi-variate processes that need to be monitored with many quality characteristics and associated process variables at the same time. These situations have made it possible to obtain super-large manufacturing process data sets. However, there are many difficulties with finding the cause of process variation or useful information in the high capacity database. In order to solve this problem, neural networks technique is a favorite technique that predicts the yield of process for process control. This paper uses a neural networks technique for improvement and maintenance of yield in manufacturing process. The purpose of this paper is to model the prediction of a sub process that has much effect to improve yields in total manufacturing process and the prediction of adjustment values of this sub process. These informations feedback into the process and the process is adjusted. Also, we show that the proposed model is useful to the manufacturing process through the case study.

• Korea Science and Art Forum
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• v.19
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• pp.259-267
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• 2015

Product-Service Systems (PSS) has drawn significant attention since it can effectively address diverse values of consumers by integrating products and services. PSS has been defined as a system of products, services, supporting networks and infrastructure that is designed to satisfy customer needs and to generate values. Manufacturing companies can accomplish business innovation by devising new service elements and providing PSSs starting from their products. Such new efforts are called manufacturing servitization. With analysis of the company's business contexts, diverse strategies could be set for servitization. Services could be developed so that their product functions can be supported. On the other hand, new services could be devised to drive active emotional values of their customers in a broadly related manner with their products. In this way, different servitization strategies in service space could be employed. In this paper, the product-service integration spaces for comparison of product-service systems in manufacturing servitization is briefly sketched. Various issue spaces, termed dimensions, would be used including service space, customer space, value space and business model space. Diverse PSS cases, including well-known PSSs and brand new PSSs, will be classified and compared to demonstrate the product-service integration spaces.

• The Journal of Asian Finance, Economics and Business
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• v.9 no.1
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• pp.133-142
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• 2022

This study examines the relationship between debt maturity structure and bankruptcy risk. There are various studies of leverage's effect on bankruptcy risk. Debt maturity, however, has not received the attention it deserves, especially in emerging markets with a high degree of information asymmetry. Using Vietnamese listed company data and various estimations, we find that leverage is positively associated with the likelihood of default. Importantly, short-term leverage shows a significantly positive effect on bankruptcy risk, while long-term leverage does not show significant results. The findings highlight that rollover risk firms are exposed to when using short-term debt increases bankruptcy risk. Meanwhile, firms do not cope with this risk in case of long-term debt adoption. High information asymmetry in emerging markets may be the main reason for the difference. The result is robust for subsamples of firms in different financial conditions, in concentrated and competitive industries, as well as for manufacturing and non-manufacturing companies. We also find that firms in a better financial situation and concentrated industries experience a higher short-term leverage effect than their counterparts. We, however, do not find a significant difference in the impact between manufacturing and non-manufacturing companies. This paper is among the first to examine the relation between debt maturity and bankruptcy risk in Vietnam.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.26 no.10
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• pp.1447-1452
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• 2022

Seoul Special City, one of the world's top 10 cities and Metro City, has traditional urban manufacturing industries such as printing, sewing, and mechanical metals. Small business owners in these manufacturing clusters have developed in the form of mutual assistance. Due to the nature of the agglomeration site, each process is handled by an individual company. It is difficult for relatively small business owners to prepare order processing services that provide real-time logistics movement information between processes. This paper collects and analyzes existing logistics data for smooth order and delivery of small business owners in package manufacturing and special printing fields We design an artificial intelligence Fulfillment Service Platform system with CRNN, k-NN, and ID3 Decision Tree Algorithm. Through this study, it is expected that it will greatly contribute to increasing sales and improving capabilities by allowing small business owners in integrated areas to use individual orders and delivery customized services through the Cloud network.

• Journal of Preventive Medicine and Public Health
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• v.26 no.1 s.41
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• pp.37-48
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• 1993

This study was conducted to investigate the prevalence rate of low back pain during past one year and its risk factors. The data were collected from 1,384 manufacturing factory workers from March 1, 1992 to August 30, 1992. The results obtained were as follows: 1. The one year prevalence rate of low back pain by manufacturing company was 38.4% in textile manufacturing, 35.2% in concrete reenforcement, 31.0% in cigarette and 26.1% in metal part(P<0.01). 2. In textile manufacturing, age groups with high prevalence rate of low back pain were 30's(36.8%) and 40's(36.4%) (P<0.05), and the one year prevelence rates of low back pain by marital state were 34.9% in married workers and 28.5% in unmarried(P=0.0511). 3. The one year prevelence rates of low back pain by job part are 35.0% in labor workers and 26.1% in clerical(P<0.05), and by work hour per day it was 34.9% in 9 or more and 28.9% in 8 or less(P<0.05). 4. The highest group of low back pain by work posture was 43.5% in 'lifting and transfering materials', and it by fitness of chair was 56.0% in uncomfortable one, and by height of working board was 33.6% in low working one. 5. In logistic regression analysis, significant determinants with low back pain were marital state(p<0.05), work hour per day(P<0.05), height of working board(P<0.01), and work posture(P<0.01).

• The Journal of the Korea Contents Association
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• v.22 no.2
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• pp.617-629
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• 2022

This study empirically analyzed the mediating effect of technology absorption capacity in the relationship between technological innovation of ship parts manufacturing companies on business performance. Through this, it will be possible to provide implications for improvement plans for management strategy establishment related to technology development in the future. In order to achieve the purpose of this study, R&D, marketing, production·A total of 362 people working in manufacturing and finance/accounting departments were selected as subjects for this study. As a result of this study, it was found that technological innovation and technology absorption capacity of ship parts manufacturing companies have a positive (+) effect on business performance. The conclusion based on these research results is that the potential absorption capacity and realized absorption capacity constituting technology absorption capacity are judged to be the main key factors between technological innovation and management performance, such as continuous technological capacity accumulation. From a practical point of view, the ship parts manufacturing industry needs to focus on its ability to absorb smart parts process technology.

• Proceedings of the Korean Society for Technology of Plasticity Conference
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• 2007.05a
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• pp.38-41
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• 2007

The increase of $CO_2$ emission by increasing of fossil fuel usage has been understood a major cause of global warming. The supply of electric energy is heavily dependent on the massive thermal power and nuclear power plant before developing the renewable energy to supply the electric energy stably at a low price. The large and sound forged components of pressure vessel, turbine and generator are widely used in power plant such as wind power, hydroelectric power generation, nuclear power and thermal power plant. This paper is discussed the trend of manufacturing technology for pressure vessel and turbine to satisfy the required condition of utility company. It is also introduced a strategy of forging industry to cope with carbon tax.

• IE interfaces
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• v.17 no.4
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• pp.450-458
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• 2004

S-Distribution Center supplies parts to three plants of K-automobile manufacturing company. Since the three plants employ the JIT production system, it is important for S-Distribution Center to deliver small quantities of parts frequently and quickly on time. This paper presents a case study on the improvement of order-picking operation in S-Distribution Center. The study is focused on the reductions of move time and waiting time by redesigning the parts storage location, picking-order terminal location, retrieval policy, and equipment operation policy. The proposed operation system for S-Distribution Center is evaluated through a simple computation analysis and computer simulation. Furthermore, the reducible numbers of equipment and order pickers are investigated by performing a sensitivity analysis.