Decommissioning plan of nuclear facilities require the radiological characterizations and the establishment of a decommissioning process that can ensure the safety and efficiency of the decommissioning workers. By utilizing the rapidly developed ICT technology, we have developed a technology that can acquire, analyze, and deliver information from the decommissioning work area to ensure the safety of decommissioning workers, optimize the decommissioning process, and actively respond to various decommissioning situations. The established a surveillance system that monitors nuclide inventory and radiation dose distribution at dismantling work area in real time and wireless transmits data for evaluation. Developed an evaluation program based on an evaluation model for optimizing the dismantling process by linking real-time measurement information. We developed a technology that can detect the location of dismantling workers in real time using stereovision cameras and artificial intelligence technology. The developed technology can be used for safety evaluation of dismantling workers and process optimization evaluation by linking the radionuclides inventory and dose distribution in dismantling work space of decommissioning nuclear power plant in the future.

In supply chain, there are a variety of different uncertainties including demand, service time, lead time, and so forth. The uncertainty of demand has been commonly studied by researchers or practitioners in the field of supply chain. However, the uncertainty of upstream supply chain has also increased. A problem of uncertainty in the upstream supply chain is the fluctuation of the lead time. The stochastic lead time sometimes causes to happen so called the order crossover which is not the same sequences of the order placed and the order arrived. When the order crossover happens, ordinary inventory policies have difficult to find the optimal inventory solutions. In this research, we investigate the lead time distribution in case of the order crossover and explore the resolutions of the inventory solution with the order crossover.

기후온난화 현상이 지속되고 있는 제주지역에서 환경적으로 다른 지역 모기의 계절적 발생밀도를 조사하기 위해 제주시의 국제공항, 항만 구역과 축사 그리고 서귀포 도심지의 11지점을 선정하여 3월부터 11월까지 매달 2회씩 Black light trap과 BG sentinel trap을 이용하여 모기를 채집하였다. 채집된 모기는 5속 7종. 6,042마리였으며, 이 중 빨간집모기(Culex pipiens)가 4,159마리(68.8%)로 우점종이었으며 흰줄숲모기 (Aedes albopictus)는 1,348마리(24.4%)였다. Black light trap를 이용한 채집에서 중앙동주민센터는 트랩당 72.8마리를 채집하여 모기 밀도가 가장 높게 나타났으며 제주국제공항은 트랩당 1.4마리로 가장 낮게 나타났다. BG sentinel trap을 이용한 채집에서는 항만에서 트랩당 71.7마리로 가장 많았고 도심지의 걸매생태공원에서 28.3마리로 가장 낮았다. 시기별로 모기의 밀도는 5월부터 증가하기 시작하여 8월에 1,156마리 (19.1%)로 가장 높은 밀도를 나타내었다. 채집된 암컷모기를 종별, 시기별, 지점별로 나누어 pool당 50마리 이하로 설정하여 총 364 pools에서 flavivirus 존재여부를 real time RT-PCR로 검사하였으나, 검출되지 않았다.

본 연구에서는 완도 해역에서 단기적인 수온의 변화에 영향을 주는 요인을 파악하기 위하여 시계열 분석을 실시하였다. Power spectrum 결과에서 기온은 약 24 hr에서 peak를 보였으나 수온과 조위는 약 12 hr 및 24 hr에서 peak가 나타났다. 수온과 조위의 상관 성을 파악하기 위해 coherence 분석을 실시한 결과, 두 변수는 반일주기에서 0.92로 높은 상관성을 보였다. 또한 수온의 시·공간적인 분포를 파악하기 위하여 수치실험을 실시하였다. 대조기에는 최강 낙조와 최강 창조 시의 평균 수온차가 0.3 인 반면, 소조기에는 평균 수온차가 0.13 로 작았다. 대조기의 수온차가 큰 이유는 비교적 수온이 낮은 외해수가 강한 조류에 의해 창조 시 유입되고 낙조 시 빠져나가기 때문인 것으로 판단된다. 전반적으로 수온은 외해보다 연안에서 높게 나타났다. 외해보다 연안은 수심이 얕기 때문에 일사량에 의해 수온이 빠르게 증가하기 때문인 것으로 사료된다.

In this study, we designed the 3-dimensional tire mold according to the A automobile company’s tire model, and analysed the distribution of temperature of mold using the numerical method when the heat flux and heat transfer time at the surface of tire mold were changed. A analysis region of mold was the 1/16 of entire mold, and the grid number was about more than 880 thousand. In order to analyze the temperature change of mold, the thinnest part of the mold was chosen as the research object, and then the temperature of 6 points on the vertical downward direction of the thinnest part was analyzed with the time change. While the numerical condition was that heat flux was 321,200 W/m2, 440,000 W/m2 and 880,000 W/m2, and measuring time was 0.1 second, 0.2 second, 0.5 second and 1 second, respectively. As a result, the temperature difference between the surface temperature and the lowest temperature of mold was 7.3℃ when the heat transfer time was 0.1 second. Also, the minimum temperature difference was almost 0.11℃ when the heat transfer increased to 1 second. It can be explained that the main material of tire mold was aluminum and its thermal conductivity was high (k=140 W/m·K). In addition, when the heat transfer time was more than 1 second, the heat flux of mold surface will be transmitted at the inside of the thinnest part, and the heat transfer will be a marked difference according to the shape of the thinnest part.

This paper considers an inbound ordering and outbound dispatching problem for multi-products and multi-vehicles in a third-party distribution center. The demands are dynamic over a discrete and finite time horizon, and replenishing orders are shipped in various transportation modes and the freight cost is proportional to the number of vehicles used. Any mixture of products is loaded onto any type of vehicles. The objective of the study is to simultaneously determine the inbound lot-sizes, the outbound dispatching sizes, and the types and numbers of vehicles used to minimize total costs, which consist of inventory holding cost and freight cost. Delivery time window is one of the general dispatching policies between a third-party distribution center and customers in practice. In the policy, each demand of product for a customer must be delivered within the time window without penalty cost. We derive mixed integer programming models for the dispatching policy with delivery time windows and on-time delivery dispatching policy, respectively and analyze the effect on a dispatching policy with delivery time windows by comparing with on-time delivery dispatching policy using various computational experiments.

Titanium and its alloys are useful for implant materials. In this study, porous Ti-Nb-Zr biomaterials were successfully synthesized by powder metallurgy using a NH4HCO3 as space holder and TiH2 as foaming agent. Consolidation of powder was accomplished by spark plasma sintering process(SPS) at 850˚C under 30 MPa condition. The effect of high energy milling time on pore size and distribution in Ti-Nb-Zr alloys with space holder(NH4HCO3) was investigated by optical microscope(OM), scanning electron microscope(SEM) & energy dispersive spectroscopy(EDS) and X-ray diffraction(XRD). Microstructure observation revealed that, a lot of pores were uniformly distributed in the Ti-Nb-Zr alloys as size of about 30-100μm using mixed powder and milled powders. In addition, the pore ratio was found to be about 5-20% by image analysis, using an image analyzer(Image Pro Plus). Furthermore, the physical properties of specimens were improved with increasing milling time as results of hardness, relative density, compressive strength and Young's modulus. Particularly Young's modulus of the sintered alloy using 4h milled powder reached 52 GPa which is similar to bone elastic modulus.

본 연구는 경삽묘의 생리적 서령과 분무재배시 수확시기가 감자 '대지' 품종의 생육과 수량에 미치는 영향을 조사하기 위하여 실시되었다. 경삽묘는 조직배양묘를 삽목하여 생산하였고 삽목 후 20, 30, 40, 50일된 경삽묘를 분무재배에 이용하였다. 분무재배시 정식 후 60, 70, 80, 90일에 각각 괴경을 수확하였고 수확한 괴경은 1~5, 5~10, 10~20, 20~30, 30~40, 40g 이상의 크기로 분류하였다. 삽목한 후 40일이 경과된 경삽묘의 평균 초장이 전생육기간에 걸쳐 가장 길었지만 정식 후 75일에는 모든 연령의 경삽묘 간의 초장에 대한 유의차는 없었다. 주당 괴경중은 정식 후 90일까지 꾸준히 증가하였으며 삽목 후 20일과 40일된 경삽묘를 정식할 때 가장 무거웠고 주당 괴경수도 가장 많았다. 그러나 50일된 경삽묘를 제외하고 20, 30, 40일된 경삽묘 간에 통계적으로 유의한 차이는 없었다. 정식 후 80일과 90일에 수확하는 것이 5g 이상의 괴경 수확을 증가시키는 것으로 나타났다.

Recently, a multi-facility, multi-product and multi-period industrial production-distribution planning problem has been widely investigated in Supply Chain Management (SCM). One of the key issues in the current SCM research area involves reducing both production and distribution costs. We have developed an optimization model to tackle the above problems under the restricted conditions such as transportation time and a zero inventory. Computational experiments using commercial tool Ms-Excel Solver show that the real size problems we encountered can be solved in reasonable time. The model can be used to decide an appropriate production-distribution planning problem in SCM research area.

고준위폐기물을 지하 500m의 화강암 암반의 처분장에 장기간(약 10,000년 동안) 처분 시 폐기물에서 발생하는 열에 의하여 처분용기 및 처분용기를 감싸고 있는 주위 구조물(벤토나이트 버퍼, 암반 등)의 처분시간 경과에 따른 온포분포 변화를 알아내는 것은 처분장 설계를 위하여 매우 중요하다. 본 논문에서는 수치해석기법을 이용하여 고준위폐기물에서 발생하는 열에 의한 처분용기 및 벤토나이트 버퍼, 처분동굴을 포함하는 복합구조물의 온도분포 변화를 구하였다. 특히 처분 후 500년의 처분시간 경과에 따른 복합구조물의 온도분포 해석을 수행하여 온도분포 변화를 구하였다. 시간에 따른 온도분포 변화에 대한 해석결과를 분석한 결과 처분장 각 구성부분별로 차이는 있으나 처분초기부터 구성부분별로 각각 다르게 온도가 증가하는데 가장 늦은 부분은 150년까지 완만하게 온도가 증가하다가 그 이후에는 온도가 서서히 감소하는 것으로 나타났다.

Some distributions have been used for diagnosing the lead time demand distribution in inventory system. In this paper, we describe the negative binomial distribution as a suitable demand distribution for a specific retail inventory management application.

Some distributions have been used for diagnosing the lead time demand distribution in inventory system. In this paper, we describe the negative binomial distribution as a suitable demand distribution for a specific retail inventory management application.

Some distributions have been used for diagnosing the lead time demand distribution in inventory system. In this paper, we describe the negative binomial distribution as a suitable demand distribution for a specific retail inventory management application. We here assume that customer order sizes are described by the Poisson distribution with the random parameter following a gamma distribution. This implies in turn that the negative binomial distribution is obtained by mixing the mean of the Poisson distribution with a gamma distribution. The purpose of this paper is to give an interpretation of the negative binomial demand process by considering the sources of variability in the unknown Poisson parameter. Such variability comes from the unknown demand rate and the unknown lead time interval.

This paper addresses a model for the transportation planning that determines the transportation cycle time and the ve-hicle Size to minimize the cost In a distribution system The vehicle routing to minimize the transportation distance of the vehicles is a