• Journal of Korean Institute of Industrial Engineers
• /
• v.33 no.3
• /
• pp.364-372
• /
• 2007

The cost modeling of the LCD manufacturing system with the repair and the rework process is hard to achieve because of it's complex manufacturing process. The technical cost modeling divides each process separately and hierarchically, so it is very useful to calculate the total manufacturing cost of the complex manufacturing system. We applied the method to the complex LCD manufacturing system to obtain more accurate cost model. Yields are the most important control parameters in manufacturing. In this paper, we propose a yield based cost model for the LCD manufacturing system and reveal the relationship between manufacturing yield and cost. Through the model, we can estimate the manufacturing cost on the basis of yields that are control indicators of manufacturing. Some simulations are performed to observe the effects of the yield to the cost, and the results are coincide with the real situation. With the proposed model, we expect to develop some optimization problems for enlarging productivity in the LCD industry.

• Journal of East Asia Management
• /
• v.3 no.1
• /
• pp.11-23
• /
• 2022

Under the circumstances of China's slower economic growth, the first document ofthe central committee of the CPC continue to focus on "three agricultures" problems, agriculture play a basic role on China's economic. Since 2007, the first document directly stresses the important role of agricultural and fisheries every year. Central Government Working Report of 2015 also stresses that under the new normal of economy, it is important to improve quality and efficiency of agriculture. Agricultural focus going forward will be on improving capacity of competitiveness, innovation and sustainable development.The fishery as an important part of agriculture plays a vital role in the protection of national food security, the prosperity of the rural economy and the optimization of national food structure. However, the situation faced on accelerating the speed of Chinese fisheries is still grim. As an important fishery breeding city in my country, Weihai has achieved remarkable results in the development of fisheries. Based on the input-output indicators of Weihai City from 2010 to 2020, this article uses the DEA model method to conduct a comprehensive analysis of the factors affecting the fishery production efficiency in Weihai City. This paper calculates the two stages of comprehensive efficiency, pure technical efficiency and scale efficiency, and comprehensive compares the two stages. The research results show that: From 2010 to 2020, the average comprehensive technical efficiency of Weihai fishery was 0.928, the average scale efficiency was 0.963, and the average pure technical efficiency was 0.963. The comprehensive technical efficiency of Weihai fishery production showed an upward and downward trend, the pure technical efficiency showed a downward and then upward trend, and the pure technical efficiency showed a fluctuating trend.

• Environmental Engineering Research
• /
• v.25 no.4
• /
• pp.515-521
• /
• 2020

Nowadays, due to various pollution sources, it is essential for environmental scientists to monitor water quality. Phytoplanktons form the end of the food chain in water bodies and are one of the most important biological indicators in water pollution studies. Chlorophyll-A, a green pigment, is found in all phytoplankton. Chlorophyll-A concentration indicates phytoplankton biomass directly. Therefore, Chlorophyll-A is an indirect indicator of pollutants, including phosphorus and nitrogen, and their refinement and control are important. The present study, Moderate Resolution Imaging Spectroradiometer (MODIS) satellite images were used to estimate the chlorophyll-A concentration in southern coastal waters in the Caspian Sea. For this purpose, Multi-layer perceptron neural networks (NNs) were applied which contained three and four feed-forward layers. The best three-layer NN has 15 neurons in its hidden layer and the best four-layer one has 5 in each. The three- and four- layer networks both resulted in similar root mean square errors (RMSE), 0.1($\frac{{\mu}g}{l}$), however, the four-layer NNs proved superior in terms of R² and also required less training data. Accordingly, a four-layer feed-forward NN with 5 neurons in each hidden layer, is the best network structure for estimating Chlorophyll-A concentration in the southern coastal waters of the Caspian Sea.

• Proceedings of the Korea Society for Industrial Systems Conference
• /
• 2008.10b
• /
• pp.316-321
• /
• 2008

In the present emerging global economy, as the focus is shifted from manufacturing to service sector, the efficiency of service operations is crucial for the county's sustainable growth and development. As one of the fastest growing service sector industries in South Korea, the call center has become an inevitable part of customer service for most companies. Despite of the strategic importance of the call center, there has been no empirical study on the efficiency of call center service operations in the literature. The main purpose of this study is to evaluate the technical efficiency of call center services so as to not only identify the current status of call center service operations, but also suggest ways to improve service operations efficiency. For this purpose, we apply a non-parametric efficiency measurement method, DEA (Data Envelopment Analysis), to domestic call centers in order to compare their relative efficiency. Based on DEA evaluations, we provided specific directions for the inefficient call centers to possibly improve their operation efficiencies. It is expected that the measurement methods suggested in this study can be applied to various issues such as service KS certification, service operations management, and the productivity analysis of service personnel.

• Journal of the Korean Institute of Landscape Architecture
• /
• v.35 no.5
• /
• pp.37-45
• /
• 2007

WTO/TBT requires that, for technical regulations affecting trade, technical regulatory requirements must be specified where possible in terms of performance rather than design or descriptive characteristics. The movement which made "performance" a keyword in landscape architecture was activated in Japan, one of the leading counties in performance-based regulatory system(PBRS). The Japanese recent movement of systematization activity on performance-based standards and specifications was reviewed and operational applications for performance-based regulatory system in South Korea are summarized as follows: 1. The establishment of performance standards that can be properly evaluated by assessment indicators is necessary in cases when quantitative evaluation is difficult. 2. As a preparation for PBRS, a brief procurement system by technical proposal for the landscape design and construction is necessary. 3. As a preparation for PBRS, activation of an environmental performance evaluation on experimental construction is necessary. 4. As a preparation for PBRS, a certification system of environmental performance on various landscape construction methods is necessary. 5. The Private Finance Initiative Project is the most similar to PBRS therefore, activation of the Private Finance Initiative Project is necessary in landscape architecture projects for park rehabilitation.

• Journal of Distribution Science
• /
• v.20 no.10
• /
• pp.67-77
• /
• 2022

Purpose: This study aims to determine the online shop service performance of fresh food products distribution, consumer motivation, and their relationship during the COVID-19 pandemic. Research design, data, and methodology: A survey was conducted online using Google Forms on 100 consumers of TaniHub application users. Data in the form of scale were analyzed descriptively to explain the service performance and consumer motivation. The service performance consists of technical services and marketing services. Technical service indicators consist of payment, delivery, and products. Meanwhile, the marketing service indicator consists of promotions and prices. The consumer motivation is characterized by reference, actualization, and lifestyle. The relationship between the two was analyzed using Spearman's rank correlation. Results: The most consumers are millennial generation who were active in social media. They are employees with Bachelor's and Master's qualifications and included in the middle economic groups. TaniHub online shop had good technical and fair marketing performance. The motivation of online shop consumers of fresh food products through the TaniHub application was high. Conclusions: The findings discovered a significant relationship between online shop service performance and consumer motivation. It indicates the need for improvement in marketing services, especially promotions, to improve the performance of this e-agribusiness company.

• The Journal of Industrial Distribution & Business
• /
• v.15 no.7
• /
• pp.19-28
• /
• 2024

Purpose: The objective of this research was to investigate how blockchain ventures can optimize their wealth through Initial Coin Offerings (ICOs). Drawing upon signal theory, this study examined the impact of technological capabilities on the performance of ICOs in blockchain ventures. Given the highly technical nature of companies involved in ICOs, the technical proficiency of venture companies can have a significant influence on the success of ICOs. Specifically, three potential indicators of technological capability - patents, white papers, and source code - were analyzed. Research design, data and methodology: To accomplish this, a database was constructed by coding the relevant variables from various sources for 514 companies that launched ICOs. This study conducted hierarchical regression analysis for the hypotheses test. Results: The results indicated that a blockchain venture with a patent had a positive effect on the performance of the ICO. Additionally, publishing source code had a positive impact on ICO performance. Conclusions: This study identifies crucial factors for ICO success, emphasizing the importance of technological capabilities. Companies should enhance these to boost investor confidence, transparency, and outcomes. This research offers valuable insights for businesses and policymakers in the evolving cryptocurrency market, aiming to maximize ICO performance and success.

• The Korean Journal of Applied Statistics
• /
• v.33 no.4
• /
• pp.483-497
• /
• 2020

We used a deep neural network model for the prediction of the stock prices of Kia Motors and Shinsegae as listed in the KOSPI 100. We used an emotional variable derived from online news in addition to the various technical indicators most often used. The emotional variable used as a predictor variable was generated from the average of the emotional scores for companies in the industrial group after building an emotional dictionary specific to each industrial group classified in a social network analysis. The study was conducted with various combinations of predictors and confirmed that good predictive and profitable power could be expected when jointly using technical indicators and an emotional variable based on online news by industrial groups.

• Journal of Korean Institute of Industrial Engineers
• /
• v.37 no.1
• /
• pp.64-73
• /
• 2011

Oil price prediction is an important issue for the regulators of the government and the related industries. When employing the time series techniques for prediction, however, it becomes difficult and challenging since the behavior of the series of oil prices is dominated by quantitatively unexplained irregular external factors, e.g., supply- or demand-side shocks, political conflicts specific to events in the Middle East, and direct or indirect influences from other global economical indices, etc. Identifying and quantifying the relationship between oil price and those external factors may provide more relevant prediction than attempting to unclose the underlying structure of the series itself. Technically, this implies the prediction is to be based on the vectoral data on the degrees of the relationship rather than the series data. This paper proposes a novel method for time series prediction of using Semi-Supervised Learning that was originally designed only for the vector types of data. First, several time series of oil prices and other economical indices are transformed into the multiple dimensional vectors by the various types of technical indicators and the diverse combination of the indicator-specific hyper-parameters. Then, to avoid the curse of dimensionality and redundancy among the dimensions, the wellknown feature extraction techniques, PCA and NLPCA, are employed. With the extracted features, a timepointspecific similarity matrix of oil prices and other economical indices is built and finally, Semi-Supervised Learning generates one-timepoint-ahead prediction. The series of crude oil prices of West Texas Intermediate (WTI) was used to verify the proposed method, and the experiments showed promising results : 0.86 of the average AUC.

• Korean Journal of Health Education and Promotion
• /
• v.33 no.4
• /
• pp.55-65
• /
• 2016

Objectives: Members of Korean Healthy Cities Partnership(KHCP) has increased rapidly since 2006 and adopted Active Living Environments(ALE) as common theme in 2015. Academic definition and categorization, needs assessment and operational planning for making active living environments were required from KHCP. Methods: Literatures review, survey to members of KHCP, specialist discussion and consultation with members of KHCP have been done from October of 2015 to February of 2016. Results: ALE included humane(social networks), physical and political resources. Three categories and 13 items for ALE were identified. Present actions among member cities were variable and especially immature in physical environments. Indicators for ALE were not secured stably. Requirements for policy and physical environmental approach and adolescent programme were high. Priority areas for education and technical assistance were master planning, guideline and case, program and policy development, partnership development, and networking among cities. Representative projects among member cities were somewhat different from ideal models. Conclusions: Policy and environmental approaches needs to be reinforeced systemically for members of KHCP including securing stable indicators. More education and technical assistance also needed sustainably.