불확실성 정보가 맥주배송게임 기반의 공급사슬 수행도에 미치는 영향 평가

이기광(Ki-Kwang Lee),김인겸(In-Gyum Kim),고광근(Kwang-Kun Ko) 한국데이타베이스학회 2007 Journal of information technology applications & m Vol.14 No.4

Information sharing is key to effective supply chain management. In reality, however, it is impossible to get perfect information. Accordingly, only uncertain information can be accessed in business environment, and thus it is important to deal with the uncertainties of information in managing supply chains. This study adopts meteorological forecast as a typical uncertain information. The meteorological events may affect the demands for various weather-sensitive goods, such as beer, ices, clothes, electricity etc. In this study, a beer distribution game is modified by introducing meterological forecast information provided in a probabilistic format. The behavior patterns of the modified beer supply chains are investigated for two conditions using the weather forecast with or without an information sharing. A value score is introduced to generalize the well-known performance measures employed in the study of supply chains, i.e., inventory, backlog, and deviation of orders. The simulation result showed that meterological forecast information used in an information sharing environment was more effective than without information sharing, which emphasizes the synergy of uncertain information added to the information sharing environment.

농산물 생산량과 기상요소의 상관관계 분석

이기광 ( Ki Kwang Lee ),고광근 ( Kwang Kun Ko ),이중우 ( Joong Woo Lee ) 한국환경과학회 2012 한국환경과학회지 Vol.21 No.4

Agriculture is more influenced by environmental factors rather than other industries. Among the environmental factors, the meteorological conditions mainly impact the output of agricultural products. Hence, the purpose of this study is to analyze the impact of meteorological factors on the output of elemental agricultural products. As a first step, we obtained the data of the meteorological factors (i.e., precipitation, humidity, temperature, insolation, snowdrifts, wind velocity) and the output of the various agricultural products (i.e., grain, fruits and vegetables, root crops, green vegetables, seasoned vegetables, fruits, special crops) from the year 1990 to 2009 (20 years) of Seoul and the six metropolitan cities in Korea. Then, the analysis of the correlation between the agricultural product with the largest output and the meteorological factors of the place where the corresponding agricultural product is most produced, was carried out in order to determine the core meteorological factor that most impacts the output of agricultural product. The correlation analysis revealed that humidity, insolation and wind velocity have been the crucial meteorological factors to influence the output of the agricultural products. From the result, we can induce that the meteorological forecast information about the vital meteorological factors, i.e., humidity, insolation and wind velocity, facilitates the optimized cultivation plan to maximize the output of agricultural products.

論文(논문) : 국내 항공운항에서 기상현상이 결항 및 지연에 미치는 영향 분석

이중우 ( Joong Woo Lee ),고광근 ( Kwnag Kun Ko ),권태순 ( Tae Sun Kwon ),이기광 ( Ki Kwang Lee ) 한국항공운항학회 2011 한국항공운항학회지 Vol.19 No.1

Last April, Europe was severly damaged as all social and economic activities came to a halt prompted by the cancellation of all flights resulting from volcanic ash. This exemplifies that the meteorology conditions have significant influence on the flights of airplanes. Hence, in this research the influence that the meteorology has on the domestic flights and its characteristics will be examined, and the core meteorological factors that influence flights in each airport will be drawn. In order to do this, statistical analysis on the influence that the meteorology has on flights was carried out in order to analyze the data about flight cancelation and delay and also its cause, primarily based on the Gimpo, Gimhae, and the Jeju airports. As a result, first, the meteorological factors which impact flight cancellation and delay were different among the domestic airports, and second, it was analyzed that fog was the main meteorological factor in the Gimpo airport, strong wind in the Jeju airport, and fog in the Gimhae airport. Third, between the day the flights were cancelled and delayed occurred, and the day that weren`t, the fact that there existed a difference among the actual meteorological factors was statistically drawn. With the result of such analysis, meteorological factors pertaining to the cancellation and delay of flights must be considered seperately by each airport and specialized meteorological information must be provided accordingly. Further, when selecting the position of an airport that is to be constructed in the future, implications that there is a definite need for the meteorology effect evaluation based on past meteorology data can be drawn.

연구논문 : 기후변화에 따른 유통산업의 핵심 기상요인과 기업의 경제적 효율성

이중우 ( Joong Woo Lee ),고광근 ( Kwang Kun Ko ),전진환 ( Jin Hwan Jeon ) 한국환경과학회 2010 한국환경과학회지 Vol.19 No.6

신흥시장진입과정에서 기업의 네트워킹역할과 몰입에 관한 연구 -현대자동차의 중국과 인도자동차시장 진입사례

이중우 ( Joong Woo Lee ),고광근 ( Kwang Kun Ko ) 한국국제경영학회 2013 國際經營硏究 Vol.24 No.4

The purpose of this study is to analyze the role of business networking and commitment in emerging market entry process when MNCs carry out interdependence relationships of networking between firms of exchange resources and those in need of learning and commitment to influence on speed of foreign market entry. We investigate the reasons for variations in the speed of MNCs` foreign market entry. Particularly, we examine whether MNCs` networking with the key local actors facilitates MNCs` entry and whether learning and commitment in the context of networking affects the speed of MNCs` entry process in the Chinese and Indian automobile market. The study method is based on the strategy and experiences of Korean MNC in connection with gathering the data. Data is collected through in-depth interviews and through secondary sources related to the entry process of these cases. This proposes a comprehensive model in the network perspective for developing three stages of networking, learning and commitment to the market, which is fruitfully demonstrated by an empirical study. Empirical data on Hyundai Motor in China and India are analyzed by this model. The model is an important aspect of strategic management method for developing the competitive position rapidly when the Korean firms are entering into the emerging markets. The cases illustrate that the speed of foreign market entry is significantly influenced by business networking between MNCs, the key business and socio-political actors, since different types of business networking determine the level of learning and commitment. Our cases also show that the effects of business networking generated during the initial foreign market entry by the Hyundai Motor may be different from those during sequential entries. The conclusion reached in the empirical study implies the importances of Korean firms` strategic assistance to enter into the emerging markets. In particular, the firms which have already established a network position indicate some significant aspects of how the firms define their position. The approach developed here has important strategic implications for further contributing to develop a competitive position in emerging markets.

발전용량 및 풍속에 따른 국내 풍력 발전단지의 효율성 분석

이중우(Joong-Woo Lee),고광근(Kwang-Kun Ko),이기광(Ki-Kwang Lee) 한국경영과학회 2013 經營 科學 Vol.30 No.2

Of the new and renewable energies currently being pursued domestically, wind energy, together with solar photovoltaic energy, is a new core growth driver industry of Korea. As of May 2012, 33 wind farms at a capacity of 347.8㎿ are in operation domestically. The purpose of this study was to compare and analyze how efficiently each operational wind farm is utilizing its power generation capacity and the weather resource of wind. For this purpose, the study proceeded in 3 phases. In phase 1, ANOVA analysis was performed for each wind farm, thereby categorizing farms according to capacity, region, generator manufacturer, and quantity of weather resources available and comparing and analyzing the differences among their operating efficiency. In phase 2, for comparative analysis of the operating efficiency of each farm, Data Envelopment Analysis (DEA) was used to calculate the efficiency index of individual farms. In the final phase, phase 3, regression analysis was used to analyze the effects of weather resources and the operating efficiency of the wind farm on the power generation per unit equipment. Results shows that for wind power generation, only a few farms had relatively high levels of operating efficiency, with most having low efficiency. Regression analysis showed that for wind farms, a 1 hour increase in wind speeds of at least 3m/s resulted in an average increase of 0.0000045㎿h in power generation per 1㎿ generator equipment capacity, and a unit increase in the efficiency scale was found to result in approximately 0.20㎿h power generation improvement per unit equipment.

지역규모 대기질 모델 결과 평가를 위한 통계 검증지표 활용 - 미세먼지 모델링을 중심으로 -

김철희,이상현,장민,천성남,강수지,고광근,이종재,이효정,Kim, Cheol-Hee,Lee, Sang-Hyun,Jang, Min,Chun, Sungnam,Kang, Suji,Ko, Kwang-Kun,Lee, Jong-Jae,Lee, Hyo-Jung 한국환경영향평가학회 2020 환경영향평가 Vol.29 No.4

본 연구에서는 3차원 기상 및 대기질 모델의 입출력 자료를 평가하는 데 필요한 통계 검증지표를 선별하고, 선정된 검증지표의 기준치를 조사하여 그 결과를 요약하였다. 여러 국내외 문헌과 최근 논문 검토를 통해 최종 선정된 통계 검증지표는 MB (Mean Bias), ME (Mean Error), MNB (Mean Normalized Bias Error), MNE (Mean Absolute Gross Error), RMSE (Root Mean Square Error), IOA (Index of Agreement), R (Correlation Coefficient), FE (Fractional Error), FB (Fractional Bias)로 총 9가지이며, 국내외 문헌을 통해 그 기준치를 확인하였다. 그 결과, 기상모델의 경우 대부분 MB와 ME가 주요 지표로 사용되어 왔고, 대기질 모델 결과는 NMB와 NME 지표가 주로 사용되었으며, 그 기준치의 차이를 분석하였다. 아울러 이들 통계 검증지표값을 이용하여 모델 예측 결과를 효과적으로 비교하기 위한 표출 도식으로 축구 도식, 테일러 도식, Q-Q (Quantile-Quantile) 도식의 장단점을 분석하였다. 나아가 본 연구 결과를 기반으로 우리나라의 산악지역의 특수성 등이 잘 고려된 통계 검증지표의 기준치 설정 등의 추가연구가 효과적으로 진행될 수 있기를 기대한다. We investigated statistical evaluation parameters for 3D meteorological and air quality models and selected several quantitative indicator references, and summarized the reference values of the statistical parameters for domestic air quality modeling researcher. The finally selected 9 statistical parameters are MB (Mean Bias), ME (Mean Error), MNB (Mean Normalized Bias Error), MNE (Mean Absolute Gross Error), RMSE (Root Mean Square Error), IOA (Index of Agreement), R (Correlation Coefficient), FE (Fractional Error), FB (Fractional Bias), and the associated reference values are summarized. The results showed that MB and ME have been widely used in evaluating the meteorological model output, and NMB and NME are most frequently used for air quality model results. In addition, discussed are the presentation diagrams such as Soccer Plot, Taylor diagram, and Q-Q (Quantile-Quantile) diagram. The current results from our study is expected to be effectively used as the statistical evaluation parameters suitable for situation in Korea considering various characteristics such as including the mountainous surface areas.

기상요소가 식량작물 생산량에 미치는 영향: 패널자료를 활용한 회귀분석

이중우 ( Joong Woo Lee ),장영재 ( Young Jae Jang ),고광근 ( Kwang Kun Ko ),박종길 ( Jong Kil Park ) 한국환경과학회 2013 한국환경과학회지 Vol.22 No.9

Recent climate change has led to fluctuations in agricultural production, and as a result national food supply has become an important strategic factor in economic policy. As such, in this study, panel data was collected to analyze the effects of seven meteorological elements and using the Lagrange multipliers method, the fixed-effects model for the production of five types of food crop and the seven meteorological elements were analyzed. Results showed that the key factors effecting increases in production of rice grains were average temperature, average relative humidity and average ground surface temperature, while wheat and barley were found to have positive correlations with average temperature and average humidity. The implications of this study are as follow. First, it was confirmed that the meteorological elements have profound effects on the production of food crops. Second, when compared to existing studies, the study was not limited to one food crop but encompassed all five types, and went beyond other studies that were limited to temperature and rainfall to include various meterological elements.