• Management & Information Systems Review
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• v.33 no.4
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• pp.39-48
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• 2014

In order that a company may reduce expense, according to companies' income statement, the largest amount of money is set to total sales amount, and the next is the sales cost. The method of reducing the sales cost is the common and it is important to take down a unit price at the time of purchase, or to reduce inventory cost. In this research, the cost reduction model for logistics cost reduction is built using the real data of P company, and in order to verify the validity of a model, logistics cost is calculated through a simulation. A real logistics cost is compared with the logistics cost through logistics route rearrange of the proposal model. It will become an opportunity which analyzes the logistics expense of P company through this research, and can be solved in search of the problem of logistics system.

• Proceedings of the Korea Water Resources Association Conference
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• 2019.05a
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• pp.126-126
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• 2019

과거부터 수자원분야는 공학적인 측면을 주로 강조하였으며, 따라서 인문사회학적 요소(예, 토지이용, 인구, 생태 환경, 경제발전 등)가 종종 배제된 채 시설물 계획이 이루어졌다. 그러나, 경제가 발전하고 사회의 모습이 복잡해짐에 따라, 수자원 관련 시설물의 계획에 있어 다양한 인문사회학적 요소를 고려할 필요성이 높아지고 있다. 본 연구에서는 사회-수문 모델링 기법을 이용하여 사회-수문 상호 간 순환적 관계를 파악하고, 특히 다목적댐이 인문사회에 미치는 영향을 정략적으로 파악하고자 하였다. 우리나라는 기후변화에 의한 극한가뭄과 홍수발생 빈도가 증가하고 있다. 이에 대한 대책으로, 다목적댐을 건설하여 효율적인 수자원 관리를 하고 있다. 본 연구에서는 대상지역으로 국내 강원도의 횡성댐을 선정하였다. 횡성댐은 하류에 위치한 횡성군과 원주시에 생 공 농업용수를 공급하는 용수원의 역할과 섬강 하류지역에 발생하는 홍수를 방어하는 역할을 하고 있다. 횡성댐 유역의 사회-수문학적 관계를 이해하기 위해 인과지도를 이용한 시스템 요소간의 상호연관성을 파악하였고, 이를 바탕으로 수문학적 요소와 인문사회학적 요소 사이의 관계식을 구성하였다. 수자원 분야에 해당하는 요소로는 생 공 농업용수 이용량 및 댐 저수량과 방류량을 선정하였으며, 인문사회학적 요소는 인구, 공업지역 농경지 주거지역의 면적 및 지역 내 총생산액을 선정하였다. 이와 같은 사회-수문학 요소를 바탕으로 해당 지역의 사회-수문 전체의 동태적 변화를 이해하기 위해 시스템 동적모의(System Dynamics) 모형을 이용한 모델링을 진행하였다. 다목적댐 건설 전 후로 대상지역의 용수 이용량과 인구 및 지역 총생산액 등의 데이터를 수집하여 모델을 검증하였다. 나아가 구현한 모형을 활용하여 향후 기후변화 발생 시 다목적댐이 대상지역의 용수이용 및 인구변화, 지역경제에 미치는 영향을 정량적으로 분석하였다. 본 연구는 인문사회분야와 수자원분야 사이의 영향관계를 이해하고, 모델을 이용한 정량적인 분석을 통해 향후 수자원 시설물 계획 및 정책마련을 위한 의사결정도구로 활용될 수 있을 것으로 기대한다.

• Journal of the Korean Institute of Gas
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• v.27 no.2
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• pp.49-56
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• 2023

As AI (Artificial Intelligence)-related technologies are highly developed due to the 4th industrial revolution, cases of applying AI in various fields are increasing. The main reason is that there are practical limits to direct processing and analysis of exponentially increasing data as information and communication technology develops, and the risk of human error can be reduced by applying new technologies. In this study, after collecting the data received from the 'remote potential measurement terminal (T/B, Test Box)' and the output of the 'remote rectifier' at that time, AI was trained. AI learning data was obtained through data augmentation through regression analysis of the initially collected data, and the learning model applied the value-based Q-Learning model among deep reinforcement learning (DRL) algorithms. did The AI that has completed data learning is put into the actual city gas supply area, and based on the received remote T/B data, it is verified that the AI responds appropriately, and through this, AI can be used as a suitable means for electricity management in the future. want to verify.

• Journal of Internet Computing and Services
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• v.24 no.5
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• pp.107-120
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• 2023

The public bicycle of Seoul, Ttareungyi, was launched at October 2015 to reduce traffic and carbon emissions in downtown Seoul and now, 2023 Oct, the cumulative number of user is upto 4 million and the number of bike is about 43,000 with about 2700 stations. However, super growth of Ttareungyi has caused the several problems, especially demand/supply mismatch, and thus the Seoul citizen has been complained about out of stock. In this point, this study conducted a real time demand forecasting model to prevent stock out bike at stations. To develop the model, the research team gathered the rental·return transaction data of 20,000 bikes in whole 1600 stations for 2019 year and then analyzed bike usage, user behavior, bike stations, and so on. The forecasting model using machine learning is developed to predict the amount of rental/return on each bike station every hour through daily learning with the recent 90 days data with the weather information. The model is validated with MAE and RMSE of bike stations, and tested as a prototype service on the Seoul Bike Management System(Mobile App) for the relocation team of Seoul City.

• Journal of Bio-Environment Control
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• v.24 no.4
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• pp.317-325
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• 2015

This paper attempts to present a review about simulation of different greenhouse parameters and energy supplying techniques by using building energy simulation, to find out the optimal solution for keeping greenhouse microclimate favorable for the crop production. The objectives of conducting this study were, to describe the various energy systems and techniques used for the greenhouse energy management and efficiency analysis of these technologies by using building energy simulation. We describe different models to understand the behavior of the energy saving technologies with respect to the resources available and different outside climatic conditions. We identified main features of the building energy simulation software, that enable users, to simulate hybrid agricultural building projects by using user defined parameters. At the end of the paper we draw some important concluding remarks on the basis of reviewing all the investigators contributions for the developments of simulation model of agricultural greenhouse energy management, using a building energy simulation software specifically TRNSYS. In conclusion, this paper provides information that TRNSYS have great potential for agricultural buildings energy simulation along with the renewable energy resources and energy saving techniques. This review paper provides aid to greenhouse researcher and energy planner for the future studies of greenhouses energy planning.

• Journal of Korea Port Economic Association
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• v.34 no.2
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• pp.31-50
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• 2018

This study implemented an empirical analysis of education and training for dangerous goods and hazardous materials handlers on the Busan New Port terminals and hinterland logistics centers using a Structural Equation Modeling (SEM) in combination with the formative model and reflective model, from the viewpoint of the supply chain. An effect size analysis was also conducted. The results of the empirical analysis show that Training Environment and the Atmosphere of Education have a positive influence on the Educational Expectation of hazardous material handlers, and the Educational Expectation has a positive influence on the Education and Training Program and Transfer of Education Training. Likewise, the Education and Training Program has a positive influence on the Transfer of Education Training and Result of Education and Training. Furthermore, the Transfer of Education Training has a positive influence on the Result of Education and Training. The Result of Education and Training has a positive influence on the Present State of hazardous material management. According to the results of the effect size analysis, the following parameters represented a great effect: the Atmosphere of Education to the Education Expectation, the Education Expectation to the Education and Training Program, the Transfer of Education Training to the Result of Education and Training, and the Result of Education and Training to the Present State of Dangerous Goods Management. The results of this study provided various suggestions for related practices.

• Journal of Korea Water Resources Association
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• v.55 no.5
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• pp.321-331
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• 2022

In this study, we tried to present a method for calculating the amount of regression using a watershed modeling method that can simulate the hydrological mechanism of water balance analysis and agricultural water based on watershed unit. Using the soil water assessment tool (SWAT), a watershed water balance analysis was conducted considering the simulation of paddy fields for the Manbongcheon Standard Basin (97.34 km²), which is a representative agricultural area of the Yeongsan river basin. Before evaluating return flow, the SWAT was calibrated and validated using the daily streamflow observation data at Naju streamflow gauge station (NJ). The coefficient of determination (R²), Nash-Sutcliffe Efficiency (NSE), Root-Mean-Square Error (RMSE) of NJ were 0.73, 0.70, 0.64 mm/day. Based on the calibration results for three years (2015-2017), the quick return flow and the return rate compared to the water supply amount for the irrigation period (April 1 to September 30) were calculated, and the average return flow rate was 53.4%. The proposed method of this study may be used as foundation data to optimal agricultural water supply plan for rational watershed management.

• Journal of the Korean Institute of Landscape Architecture
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• v.42 no.2
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• pp.91-102
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• 2014

Recent trends in urban policies show the increasing importance of urban parks. Moreover the park policy and planning are increasingly important for the good urban park system. Comparative studies in the operational system and planning contents of the parks and green space plans of the major cities would be timely and meaningful. This study aims to provide a comparative study in operational system and planning contents of the Parks and Green Space Master Plan at urban scale. Sites include London, New York, Berlin, Sydney and Seoul. Analyses are focused on the master plans and strategy reports of each city. Frameworks for analysis are divided into operational system and planning contents. The results are as follows. First, the Parks and Green Space Plans as an open space planning linked to related resources would contribute to both integrated resources management and practice of the fairness. Second, evolution from quantity to quality of the parks and green space plan enhances revitalization and regeneration. Third, shift from the 'supply oriented plan' to 'need based plan' model provides flexible planning model to meet the demographic change, trend change, preference and use. Fourth, planning agents, enlarged opportunities for participation within each phase, diversified of the participants lead the changes from the passive participation to active one. In order to improve the practicability of the parks and green space master plan, a flexible planning strategy including social awareness changes and park governance is required.

• Korean Journal of Comparative Education
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• v.28 no.5
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• pp.47-69
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• 2018

The purpose of this study is to classify the lifelong learning policy implementation process of lifelong learning in Korea according to the policy making decision models and to suggest developmental tasks. Korea's lifelong learning policy came to a full-fledged start with the enactment of the Lifelong Education Act in 2000. The Lifelong Education Act proposed the establishment of an open educational system as a strategy to realize the lifelong learning society. According to the Lifelong Education Act, the Korean government has developed several lifelong education policies such as providing learning opportunity for the underprivileged, facilitating lifelong learning city project, building lifelong learning culture, recognizing of experiential learning result, funding lifelong learning hub university, launching lifelong learning supporting administrative etc. The Korean lifelong system is characterized as Allison's (1971) governmental/bureaucratic, Ziegler and Johnson's (1972) legislative, Griffin's(1987) social control and Green's (2000) state-led models which make policy through the coordination between the government and the parliament and control bureaucratic power and educational qualifications. Lifelong learning policies should be managed in terms of supply and demand at the learning market. In addition, the state has to strengthen lifelong learning through supporting NGOs' activities and adult learners' tuition fee for the disadvantaged group of people.

• The Journal of the Convergence on Culture Technology
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• v.3 no.4
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• pp.137-144
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• 2017

The purpose of this study is to examine the effectiveness of Customer Relationship Management (CRM) factors in the Supply Chain Management (SCM) context focusing on ashion apparel company. Especially, this study reveals whether a long term relationship is beneficial for all businesses regardless of negotiation power leverage. To this end, the mixed research methods that combined qualitative and quantitative approaches were conducted. The findings of this study are as follows: First, the research model which is CRMs for interactive relationship building were developed. Second, cause-and-effect relationships in the proposed model were partially supported depending on CRMs. The most effective CRMs offered are a guarantee of sales and a special discount. Customized products and quality, convenience, competitive pricing, and development of a product/system/service were effective to ultimately increase a switching cost.