Companies build the factory automation system to improve management effectiveness and productivity as prime strategies for sustainable growth. But most companies undergo various trials and errors while carrying out the project without elaborate preparation stage for factory automation. In this study, we tried to verify what factors are critical to effectively building distribution automation system, which is a branch of factory automation system. A consulting model for setting up a Material Handling Automation System by utilizing the Stage-Gate Process, which is product development process was studied. 29 material handling automation projects carried out between the year 1990 to 2013 at K-Company were selected. Interviews with the project managers, operators and maintenance personnels, various records and current status of the projects were used as data for structural equations based on the Milan consulting model and existing researches of factory automation, CIM for material handling automation. Creating effective basis of production, material handling system and energy saving system with expert review, when preparing a material handling automation project, help promote the project planning thus contributing to the performance of the resulting system, which appears though rather weakly in our data. Also the effect of material handling automation can be enhanced through sufficient and effective links to the relevant environments such as production logistics management and automated warehouses. More detailed planning characteristics of project promotion or some time-series data of effective Material Handling Automation System could enhace furthur studies. We propose a consulting model for setting up an efficient material handling automation system.

국화(Chrysanthemum morifolium)는 다양한 화색과 화 형 때문에 세계에서 가장 인기 있는 관상식물 중 하나 로서 절화, 분화 및 화단용 등 다양한 형태의 국화에 대 한 요구가 증가하고 있다. 본 연구는 SSR 마커를 이용하 여 국화 60 품종에 대한 유전적 유연관계를 조사하고, 군 집분석결과와 표현형간의 상관관계를 조사하기 위하여 수 행하였다. 표현형질 38개를 이용한 군집분석 결과, 대부 분의 국화 품종들이 화형과 화색에 따라 8개의 그룹으 로 분류되는 것으로 나타났다. 본 연구에서 사용된 150 개의 SSR 프라이머는 기존연구에서 보고된 62개와 C. nankingense의 unigene 염기서열 및 C. morifolium의 EST 염기서열로부터 디자인한 88개로 구성되었다. 국화 8품종에 대한 다형성 및 banding pattern 결과를 토대로 하여 국화 60 품종의 DNA 증폭에 사용할 13개의 SSR 마커를 최종 선발하였다. SSR 마커를 이용하여 군집분석을 행한 결과, phylogenetic tree에서 국화 60 품종 전 부가 화색에 따라서 6개의 그룹으로 분류되는 것을 확 인할 수 있었다. Phylogenetic tree와 화색간의 상관관계 를 조사하기 위하여 화색을 종속변수, SSR 마커를 독립 변수로 설정한 다중회귀분석(MRA)을 행하였다. MRA 결 과는 화색과 SSR 마커간에 통계적 유의성이 높은 상관 관계(r2 = 0.903, P < 0.05)를 나타냈다. 본 연구결과는 경 쟁력 있는 국화 신품종 육종을 위한 데이터로 활용될 수 있을 것으로 생각된다.

Until now, because a new product (or facility) launched in market has been retired from one year of age, we can have had ASL by stub-curve method by Iowa curve. Recently, many innovative products with important role in market like display and solar-cell etc. are more durable and, what are better, they have the constant variance in ASL because of their good quality. Of course, there are some ones like smart mobile phone with relatively big dispersion in ASL. Estimating ASL of products like display and solar-cell etc., the new approach is needed. In this paper a new method applied traditional Iowa curve with accelerated reliability test (indoor/outdoor) etc. is proposed.

Recently, the mineral resource protection policies and regulations in production countries of natural resources including rare metals are becoming more stringent. Such environment makes which market has malfunction. In other word, those are not perfect or pure market. Therefore because each market of natural resources have special or unique characters, it is difficult to forecast their market prices. In this study, we constructed several models to estimate prices of natural resources using statistical tools like ARIMA and their business indices. And for examples, Indium and Coal were introduced.