• 무역학회지
• /
• 제46권5호
• /
• pp.1-12
• /
• 2021

In 2009, Japanese government requires exporters to have individual export licenses for certain items and removes South Korea from White Countries. The export control and regulations are likely to be affected by political factors. This study aims to analyze Japan-South Korea trade dispute with a sequential game with incomplete information. The results show that Japan may apply trade regulations on Korea regardless of efficiency of Korea and the possibilities of regulations increases when political factors are important in its decision on export policy.

• International Journal of Quality Innovation
• /
• 제10권1호
• /
• pp.37-51
• /
• 2009

The purpose of TQM (Total Quality Management)-centered organizational culture is to enhance the efficiency of business through the proper allocation and concentration of restricted resources. In order to maximize the corporate profitability through customer satisfaction, what kind of, when and how many resources should be allocated and managed to the preventive TQM activities and corrective TQM activities have become a very important decision making factors at the point of high management. This study aims to identify the causal relationships of quality-centered organizational culture on service quality and customer satisfaction relating to service failure in food service industry. And this study is intended to discover the factors of quality-centered organizational culture which impacts on service recovery justice after service failure happens, and it can be helpful for the top managers to make a decision to how to form corporate structural culture.

• 한국방송∙미디어공학회:학술대회논문집
• /
• 한국방송공학회 2009년도 IWAIT
• /
• pp.142-147
• /
• 2009

The recent H.264/AVC video coding standard provides a higher coding efficiency than previous standards. H.264/AVC achieves a bit rate saving of more than 50 % with many new technologies, but it is computationally complex. Most of fast mode decision algorithms have focused on Baseline profile of H.264/AVC. In this paper, a fast block mode decision scheme for P- slices in High profile is proposed to reduce the computational complexity for H.264/AVC because the High profile is useful for broadcasting and storage applications. To reduce the block mode decision complexity in P- pictures of High profile, we use the SAD value after $16{\times}16$ block motion estimation. This SAD value is used for the classification feature to divide all block modes into some proper candidate block modes. The proposed algorithm shows average speed-up factors of 47.42 ${\sim}$ 67.04% for IPPP sequences.

• Journal of Information Technology Applications and Management
• /
• 제30권6호
• /
• pp.1-15
• /
• 2023

With the advent of the Fourth Industrial Revolution, propelled by digital technology, we are transitioning into an era of hyperconnectivity, where everything and objects are becoming interconnected. A smart supply chain refers to a supply chain system where various sensors and RFID tags are attached to objects such as machinery and products used in the manufacturing and transportation of goods. These sensors and tags collect and analyze process data related to the products, providing meaningful information for operational use and decision-making in the supply chain. Before the spread of COVID-19, the fundamental principles of supply chain management were centered around 'cost minimization' and 'high efficiency.' A smart supply chain overcomes the linear delayed action-reaction processes of traditional supply chains by adopting real-time data for better decision-making based on information, providing greater transparency, and enabling enhanced collaboration across the entire supply chain. Therefore, in this study, a hierarchical model for building a smart supply chain was constructed to systematically derive the importance of key factors that should be strategically considered in the construction of a smart supply chain, based on the major factors identified in previous research. We applied AHP (Analytical Hierarchy Process) techniques to identify urgent improvement areas in smart SCM initiatives. The analysis results showed that the external supply chain integration is the most urgent area to be improved in smart SCM initiatives.

• 통합자연과학논문집
• /
• 제4권1호
• /
• pp.31-37
• /
• 2011

Various algorithms and system development are being required to support the advanced decision making of navigation information support system because of a serious loss of lives and property accidents by officer's error like as carelessness and decision faults. Much of researchers have introduced the techniques about the systems, but they hardly consider environmental factors. In this paper, We collect the context information in order to assess the risk, which is considered the various factor of the sailing ship, then extract the features of knowledge context, which is to apply the weight of correlation coefficients among data in context information. We decide the risk after the extract features through the classification and prediction of context information, and compare the value accuracy of proposed method in order to compare efficiency of the weighted value with the non-weighted value. As a result of experience, we know that the method of weight properties effectively reflect the marine environment because the weight accurate better than the non-weighted.

• Management Science and Financial Engineering
• /
• 제11권3호
• /
• pp.79-93
• /
• 2005

Despite the fact that the sourcing process in B2B e-Marketplaces is one of the most important tasks, the evaluation and selection process of suppliers have been ad-hoc based and mainly dependent on the experience of sourcing managers' subjective knowledge. To remedy the problem, we developed a decision support System (called Wise - I) that helps sourcing managers evaluate suppliers in a more systematic way. The system reflects company's strategy and know-how by adopting company enforced weighted scores for different factors and employing a more scientific method of considering factors other than price and on-time delivery rate, utilizing the AHP method. This paper reports the effectiveness of the system as well as the detailed description of the system. To investigate the effectiveness of the system, we collected information through interview and questionnaire survey. The information was also augmented through the firm key index system, which monitors average delivery lead time and on-time delivery rate. The result indicates that the system leads to the efficiency of purchasing section and the transparency of buying process, therefore reduces delivery time and cost.

• Journal of Korea Artificial Intelligence Association
• /
• 제1권2호
• /
• pp.21-25
• /
• 2023

The purpose of this study was to compare the performance using multiple regression models to predict the energy consumption of steel industry. Specific independent variables were selected in consideration of correlation among various attributes such as CO2 concentration, NSM, Week Status, Day of week, and Load Type, and preprocessing was performed to solve the multicollinearity problem. In data preprocessing, we evaluated linear and nonlinear relationships between each attribute through correlation analysis. In particular, we decided to select variables with high correlation and include appropriate variables in the final model to prevent multicollinearity problems. Among the many regression models learned, Boosted Decision Tree Regression showed the best predictive performance. Ensemble learning in this model was able to effectively learn complex patterns while preventing overfitting by combining multiple decision trees. Consequently, these predictive models are expected to provide important information for improving energy efficiency and management decision-making at steel industry. In the future, we plan to improve the performance of the model by collecting more data and extending variables, and the application of the model considering interactions with external factors will also be considered.

• 한국항공운항학회지
• /
• 제27권4호
• /
• pp.96-104
• /
• 2019

The response to climate change of international air transport industry might be initiated by ICAO's CORSIA (Carbon Offsetting and Reduction Scheme for International Aviation) which will impact on international airlines' flight operation behavior in the future. Though the airlines' efforts to reduce fuel consumption has been a major issue in economics of aviation industry, the improvement of fuel efficiency in flight operation will have additional impact on their profitability by introducing carbon emission cost. The fuel consumption in flight operation will be somewhat influenced by pilots' technical action for maneuvering aircraft during flight operation. This study will investigate pilots' behavior on decision for tactical aircraft control for mission flight. The data will be collected by the survey through sample pilots asking about their intention and perception on fuel savings during flight operations. The data will be analyzed by AHP process and the study will find out the elements and factors influencing pilots' behavior on technical decision of flight and their weights on fuel saving effects.

• 복식문화연구
• /
• 제26권1호
• /
• pp.109-124
• /
• 2018

As fashion and distribution companies have increasingly turned to implementing marketing activities that use omni-channel strategies, it is imperative to explore consumer-oriented evaluations of omni-channel shopping for fashion products. Through contributing to the growing research flow of consumer behavior within omni-channel contexts, the current study explores consumer motivations for omni-channel fashion shopping and their impacts on the decision-making stages of fashion products. The authors first performed in-depth interviews with six Korean consumers and confirmed the four types of consumer motivation for omni-channel shopping, and how decision-making processes react to fashion companies' omni- channel marketing strategies. These findings were used to set survey items for the main study. Based on the results and findings of previous literature, an online survey was conducted with 300 participants who had actual experience with omni-channel shopping for fashion products. The statistic results from the survey revealed the following: First, the in-depth interviews allowed the authors to confirm four factors of omni-channel shopping motivation (ubiquity, efficiency, convenience, and impulsiveness). Second, the survey showed the authors that among the four factors of omni-channel shopping orientation, impulsiveness had the greatest effect on consumer behaviors at the preand on-purchase stages, while the ubiquity factor had the greatest effect at the post-purchase stage. As such, the study empirically tested the omni-channel-specific factors of shopping orientation and motivation. In addition, it showed the effect of omni-channel marketing on various stages of the decision- making process and the study's limitations and implications were discussed.

• 기술혁신연구
• /
• 제17권2호
• /
• pp.131-158
• /
• 2009

각 의사결정단위(decision making unit: DMU)의 효율성을 추정하는 기법의 하나인 '확률적 프론티어 분석'(Stochastic Frontier Analysis)을 사용하여 국내 공공 연구기관에 소속된 기술이전조직의 기술이전 관련 활동들의 성과에 영향을 미치는 요인들의 효과를 분석하였다. 확률 프론티어 분석에서 독립변수들은 효율적 생산기술('생산 프론티어')에 직접 영향을 미치거나 생산 프론티어와 관측치의 거리로 표현되는 DMU의 효율성에 영향을 미치는 것으로 가정된다. 해외의 선행 연구에서는 인력, 연구개발비 등의 투입변수들은 생산 프론티어에 영향을 미치고, 그 밖의 환경 또는 조직 관련 변수들은 효율성에 영향을 미치는 것으로 가정되었다. 본 연구에서는 환경 및 조직변수들이 선행 연구의 영향 경로와 다른 방식으로 성과에 영향을 미치는지 여부를 밝히기 위해 여러 형태의 모형을 추정하였다. 본 연구에서 도출된 주요 결과는 다음과 같다. 첫째, 투입 요소 가운데 연구개발비가 성과의 증가에 가장 확실한 영향을 미치는 것으로 나타났다. 둘째, 기관유형, 기관의 소재 지역 등의 환경변수들이 성과에 영향을 미치는 것으로 나타났나. 셋째, 기술이전과 관련된 보상시스템 등의 일부 조직변수들이 성과에 영향을 미치는 것으로 나타났다. 넷째, 환경변수와 조직변수들은 DMU의 효율성에 영향을 주기 보다는 생산 프론티어에 직접 영향을 미치는 것으로 나타났다. 다섯째, 일부 모형에서는 거의 모든 DMU의 효율성이 1에 가까운 것으로 나타났는데 이는 효율성을 기준으로 공공 연구기관의 기술이전 활동성과를 평가하는 것은 효과적이지 못하다는 것을 시사한다. 본 연구의 결과는 추가적인 자료를 통해 보완되어야 한다. 또한 더욱 일반적인 생산함수 형태를 고려할 필요가 있으며 산출 거리함수 등의 개념을 이용하여 복수산출물의 경우까지 분석 범위를 확장할 필요가 있다.