Nowadays, logistics parks are no longer simply storage areas but rather the center of corporate supply activities. As the importance of logistics increases, so does the value of logistics related facilities. Unlike the past, in which the sole purpose of logistics services was the spatial movement of materials through transportation, modern logistics are required to carry out functions such as timely adjustment and swift adaptation to changing patterns, and this leads to the emphasis on forming logistics parks. Logistics parks make profits using the efficiency of time and space. Such logistics parks play an important role in a corporation creating operating profits as well as acting as a method of alternative investment for individuals. Logistics parks no longer simply store materials, but have become a place that plays an important role in various areas of corporate and individual activities, and thus the analysis of the selection of the location of logistics parks and the related characteristics is extremely important. There are many existing studies on the selection of locations of logistics parks but work on the factors related to location selection by industry seem lacking. As such, in the course of this study we have used preceeding studies to draft a questionnaire on which selection factors affect the selection of logistics park location in different industries and conducted empirical analysis of the questionnaire results to uncover the factors that affect the selection of the locations of logistics parks in different industries.

현대 사회에서 기상청의 날씨 정보는 점점 중요해지고 있으며, 최근에 장기예보에 대한 관심이 증대되고 있다. 장기예보는 국가 차원에서 기온, 강수량을 중심으로 하여 서비스되고 있으며, 이러한 공공성 정보를 토대로 민간 부문에서도 다양한 장기예보 서비스를 제공 중이다. 이러한 장기예보 서비스는 산업 부문의 효율성 제고에도 유용한데, 이러한 측면에서 본 연구는 에너지 산업에 필요한 장기예보 활용 방안을 수립하고자 하였다. 에너지 산업에 맞는 효율적인 장기예보 활용 방안은 실제적인 수요 조사를 바탕으로 유용성, 활용성, 사용자 편의성, 업무 효율성을 토대로 수립되었으며, 단계별 활용 전략이 수립되었다. 즉 1단계에서는 장기예보 서비스의 홍보와 인지도 향상, 2단계에서는 장기예보 서비스 강화를 위한 정비, 3단계에서는 맞춤형 장기예보 서비스 개발 및 연구 수행, 4단계에서는 서비스 정보 고효율화 및 활용 극대화를 목표로 활용방안이 수립되었다. 이러한 활용 방안은 에너지 산업의 장기예보 활용을 보다 활성화시킬 수 있을 뿐 아니라, 다른 산업 부문의 활용성을 확대시키는데 유용한 프레임 워크를 제공할 수 있으리라 기대된다.

새로운 IT 환경에서의 변화를 이해하고 경쟁력 있는 클라우드 생태계를 구축하며, 지속가능한 성장을 위한 경쟁정책을 수립하기 위해서는 먼저 우리나라 IT시장의 구조와 그 변화를 정확히 이해하는 것이 필요하다. IT시장의 구조를 이해하기 위한 과거의선행연구들은 통신시장을 배경으로 수직적 가치사슬 구조를 중심으로 설명한 것이 대부분이었으나, 최근 들어 이슈로 부각하고 있는 클라우드 생태계에 관한 연구는 부족한 실정이다. 본 연구의 목적은 IT시장에서의 클라우드 서비스의 등장에 따른 가치사슬의 변화를 이해하는 것이다. 이를 위해 먼저 기존의 연구 문헌들을 통하여 기업 또는 산업의 공급 구조, 그리고 시장의 생태계를 설명하기 위해 사용하는 기본 틀인 가치사슬의 개념을 정의하고, 이를 통하여 우리나라 IT시장의 가치사슬에 대해, 특히 클라우드 서비스 도입이후의 우리나라 IT시장의 변화를 반영하여 그 구조의 변화를 설명하며, 이를 바탕으로 우리나라 IT시장을 진단하고 시장의 성장을 견인하는 요인들을 파악하도록 한다. 본 연구를 통해 가치사슬 관점에서 IT시장을 이해함으로써, 클라우드 서비스 산업의 경쟁력을 높이고, 향후 클라우드 기반으로 IT생태계를 구축하기 위한 이론적 근거로 활용되길 기대한다.

It is analysed the efficiency of the Korean IT industry using CCR and BCC models of the DEA(Data Envelopment Analysis) method in this study. In this study, the Korean IT industry is classified into 7 groups which are Displays, Digital Contents, Wireless Communication Devices, Telecommunication Services, Semi-Conducts, Broadcasting Services and Computer Services that the efficiency of each groups is analysed contrastively. And it is considered to find a way to improve the efficiency of inefficient companies using the slack variable analysis. Also the Super DEA is used to find the relative rank among companies that their efficiency is 100% and the change of the Korean IT efficiency is measured by the Time Series Analysis from 2005 to 2007 for 3years as well.

Semiconductor industry is based on equipment industry and timing industry. In particular, semiconductor process is very complex and as semiconductor-chip width tails and is becoming equipment gradually more as a high technology. Equipment operation is primarily engaged in semiconductor manufacturing (engineers and operator) of being conducted by, equipment errors have also been raised. Equipment operational data related to the error of korea occupational safety and health agency were based on data and production engineers involved in the operator's questionnaire was drawn through the error factor. Equipment operating in the error factor of 9 big item and 36 detail item detailed argument based on the errors down, and 9 big item the equipment during operation of the correlation error factor was conducted. Each of the significance level was correlated with the tabulation and analysis. Using the maximum correlation coefficient, the correlation between the error factors to derive the relationship between factors were analyzed. Facility operating with the analysis of error factors (big and detail item) derive a relationship between the model saw. The end of the operation of the facility in operation on the part of the two factors appeared as prevention. Safety aspects and ergonomics aspects of the approach should be guided to the conclusion.

게임산업은 정보 산업 중에 다른 사업과의 연계를 통해 큰 부가가치를 창출하고 침체된 IT 산업을 활성화시킬 수 있는 분야로 빠르게 성장하고 있으며, 게임소비자가 폭발적으로 증가하고 소비층이 폭넓어짐에 따라 엔터테인먼트의 핵심적인 분야로 떠오르고 있다. 본 연구에서는 일반적인 가치사슬 구조와의 비교를 통하여, 현재 게임산업의 가치사슬 구조를 제대로 분석하기 위해 게임비즈니스모델을 제시하고, 다변화하는 게임 가치사슬 구조를 재정립하고자 하였다. 본 연구는 게임산업과 의료산업의 융합 서비스 모델인 암치료 게임 ‘리미션’을 분석하여 가치사슬 융합을 통한 새로운 게임 산업 발전 모델을 도출하였으며, 향후 발전방향 및 전략적 대안을 제시하고자 한다.

For the past 25 years, Korean semiconductor has experienced enormous growth to be the highest production country in the world. Semiconductor industry is very time sensitive and driven by technology and process, and requires 24-hour full operation. The environment includes many different types of equipment, utilities, different gases and toxic chemicals as well as high voltage electricity. We have performed a survey with 3-shift engineers and workers in one line. The content of the questionnaire was about the correlation between fatigue and performance shaping factor (work type and work ability), and as a result we were able to deduce the correlation, p-value and the pattern of scatter plot. The shape of the model was made of 4 blocks for fatigue, 5 blocks for work type and 5 blocks for work ability, i. e. 14 blocks in total. As a conclusion to this findings, there was a correlation between fatigue and work type and work ability specifically in semiconductor industry, and we need some effort to reduce this.

I analysed strength, weakness, opportunities and treats of Korean mushroom industry on the various aspects. There are approximately 30,000 mushroom farmers in Korea. Mushroom production is occupied with 2.3% of agricultural production. Especially mushroom have abundant strength and opportunities as well-being health food than any other agricultural products. I selected 30 kinds of urgent strategic items. Namely, mushroom variety breeding for UPOV, system establishment of spawn supply, diagnosis and clinic, acceleration of mushroom consumption , marketing prior to production, cheap supplements developments, fundamental tariff reduction, information and PR activation, machinery development for labor reduction, recycling of post harvest media, mushroom clinic and diagnosis kit development for popular complaints, functional mushroom developments, demand and supply system development of mushroom, mushroom extension organization establishment, advance of Agaricus bisporus, advance of breeding technic, standard of mushroom quality, establishment of mushroom research institute, PR of mushroom superiority. counter plan of nature disaster, tax exemption application of oil, second grade electric tax application, side effect of government assistance project, mushroom study and training institute establishment, hobby field enlargement of mushroom, diversification of mushroom consumption, competition power enlargement of shelf cultivation farmers, heightening of GAP awareness and harmony of organization groups.

Through so that accident of semiconductor industry deduces unsafe factor of the person center on unsafe behaviour that incident history and questionnaire and I made starting point that extract very important factor. It served as a momentum that make up base that analyzes factors that happen based on factor that extract factor cause classification for the first factor, the second factor and the third factor and presents model of human error. Factor for whole defines factor component for human factor and to cause analysis 1 stage in human factor and step that wish to do access of problem and it do analysis cause of data of 1 step. Also, see significant difference that analyzes interrelation between leading persons about human mistake in semiconductor industry and connect interrelation of mistake by this. Continuously, dictionary road map to human error theoretical background to basis traditional accidental cause model and modern accident cause model and leading persons. I wish to present model and new model in semiconductor industry by backbone that leading persons of existing scholars who present model of existent human error deduce relation. Finally, I wish to deduce backbone of model of pre-suppression about accident leading person of the person center.

The present study has investigated the patterns and the causes of safety -accidents on the accident-data in semiconductor Industries through near miss report the cases in the advanced companies. The ratio of incomplete actions to incomplete state was 4 to 6 as the cases of accidents in semiconductor industries in the respect of Human-ware, Hard- ware, Environment-ware and System-ware. The ratio of Human to machine in the attributes of semiconductor accident was 4 to 1. The study also investigated correlation among the system related to production, accident, losses and time. In semiconductor industry, we found that pattern of safety-accident analysis is organized potential, interaction, complexity, medium. Therefore, this study find out that semiconductor model consists of organization, individual, task, machine, environment and system.

Basis frame-work's base in a semiconductor industry have gas, chemical, electricity and various facilities in bring to it. That it is a foundation by fire, power failure, blast, spill of toxicant huge by large size accident human and physical loss and damage because it can bring this efficient, connect with each kind mechanical, physical thing to prevent usefully need that control finding achievement factor of human factor of human action. Large size accident in a semiconductor industry to machine and human and it is involved that present, in system by safety interlock defect of machine is conclusion for error of behaviour. What is not construing in this study, do safety in a semiconductor industry to do improvement. Control human error analyzes in human control with and considers mechanical element and several elements. Also, apply achievement factor using O'conner Model by control method of human error. In analyze by failure mode effect using actuality example.

RFID is a technique that plays an important role in identifying and tracking the movement of objects by inserting small chips in objects. It is somewhat similar to bar codes from the various points of applications, but is hopefully considered to lead to t

고도화된 산업의 발달로 인하여 많은 업종들이 생겨나게 되었고, 그로 인해 크고 작은 사고들이 발생하게 되었다. 사고의 발생은 부상, 사망과 질병 등의 재해자들을 발생시키고, 사고로 인한 재해자의 수는 한 사업장에서도 여러 건씩 발생한다. 이러한 재해자의 공통된 특성 요소와 성향을 분석할 수 있다면, 1%의 재해자라도 더 줄일 수 있으리라 사료된다. 본 논문에서는 업종별 그룹을 통해 재해자들의 특성화 분석을 위하여 총 25,157개의 데이터를 바탕으로 데이터 Mining 기법중의 하나인 Classification and Regression Tree(CART)를 이용하여 분석을 하였다. 종속변수인 10개의 주요 업종을 중심으로 재해자들이 어떠한 성향을 나타내고 있는지 알아보고자 독립변수인 재해자 구분, 재해시간, 근속기간, 성별, 회사 규모와 연령 등 8개 항목을 채택하여 재해자 위험 그룹을 분석하고 그 결과를 제시한다.

의사 결정 나무 알고리즘은 관심이 되는 집단을 몇 개의 소집단으로 분류하거나 특성을 예측하기 위한 데이터 마이닝 분석 기법중 하나이다. 이 기법은 각 업종별 특성을 분석하여 업종별 차이점을 찾기 위해 사용되었다. 여기에서 사용되어진 의사결정 알고리즘으로는 C4.5알고리즘을 사용하였다. 트리는 이득율(Gain Ratio)에 의해서 Top-Down방식으로 구성하게 되었다. 본 연구에서 사용된 데이터는 2003년, 2004년에 발생 되어진 데이터로 총 25,159개의 데이터를 대상으로 정제과정을 거쳐 24,887개의 데이터를 사용하였고, 한 개의 종속 변수와 8개의 독립 변수로 이루어져 있다. 총 222개의 트리 노드가 만들어 졌고 최종 노드(Leaf Node)는 총 151개가 생성되었다. 생성된 트리 결과에 대한 정확성 측정을 위해 정확도(Accuracy), 오분류 확률(Misclassification Rate)을 계산하였다.