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In sequential capital allocation processes, the information on the future availability (flexibility) of invested funds provides a decision maker with additional insight into the characteristics of alternatives. The investment decision with consideration of flexibility and profitability results in more wealth accumulation than the decision without considering flexibility does in sequential investment processes. To utilize the information on the flexibility under certainty, the PV/FI decision model is developed.
This thesis presents a model to assign targets and to determine gun ammunitions required for naval surface warfare. Delivery errors of weapon systems and vulnerability of moving targets are analyzed, then probability to kill moving battle sihps is computed. A weapon-target allocation model is proposed by using the Out of Kilter technique. A model to determine ammunitions required for killing moving targets is also designed. The models are evaluated by simulation and sensitivity analysis.
A transportation problem amy have multiple optimal solutions, if an optimal solution to the problem is degenerate. This study derives a condition, under which multiple degenerate optimal solutions exist, fro ma current degenerate optimal transportation tableau by utilizing the homogeneous equation obtained from the closed loops connecting degenerate basic variable and non-basic variables, and discusses a method of generating alternative degenerate optimal solutions and their associated transportation tableaus. Each degenerate optimal solution may not have the same range of feasibility in sensitivity analysis on supply and demand quantity due to different set of shadow prices which multiple degenerate solution have.
국내 방산 부품.소재 국산화개발 활성화 방안으로 방산 연구개발 측면에서는 정책 일관성유지와 투자의 확대, 국내 여건에 부합되는 전략 수립, 국제협력 연구개발의 강화를, 방위산업 측면에서는 방산업체의 경제력 강화, 국산화개발에 따른 경제성 보장, 방산물자의 수출촉진을, 기술정보 측면에서는 정보 획득체계의 강화와 기술정보의 공유를 제시하였다. 이러한 제반 개선 방안은 당장 시행이 어려운 분야가 많겠지만, 부품.소재 개발이 장비개발보다 용이하다는 인식을 불식하고 부품.소재 국산화 개발의 중요성을 인식하여 부품.소재 국산화개발을 위한 정부의 강력한 국산화 의지가 필요하다.
방산 부품.소재의 국산화는 국방연구개발과 국내 방위산업의 육성을 통하여 달성된다고 볼 수 있으며, 오늘날 선진국의 방위산업 육성은 무기체계의 생산이 군사적 측면과 경제적 측면, 즉 국가안보와 산업경쟁력 강화라는 이중의 목표를 달성하기 위한 것이다. 그러나 짧은 기간에 제품설계 능력이 부족한 상태에서 모방생산을 위주로 생산 조달이 이루어져 온 관계로 주요 장비의 국산화율이 저조하여 군에서 운용상 문제점 발생으로 군의 전투력 저하요인이 되고 지금까지 영향을 미치는 실정이다.
A markov chain is used to derive the models for determining the size of persons to be promoted and for conducting the sensitivity analysis of promotion probabilities. To compute the former case a future wastage rate is forecasted by using the double exponential smoothing method. The model for sensitivity analysis is used to simulate the impact of change in graded-size targets and hiring policy on the promotion probabilities.
This report concerns the study of deciding replacement requirements for 1/4ton truck in Korea. Two causes of replacement, accidental loss and wearout are considered in the replacement requirements model which was developed in Defence Logistics Agency. The model represents the state of 1/4 ton truck inventory over time as a finite Markov chain process. An accidental loss rate, yearly usage rates. wearout rates are used in conjuction with the current mileage distribution of the inventory to forecast replacement requirements in future time periods.
In this paper in order to prevent break of operation of equipments resulted from the delay of parts supply, the continuous review(Q, r) inventory model with probabilistic lead time is developed. If the lead tire is random varivable, the cycle also is stochastic. Then it is not easy to obtain the total cost equation of this inventory model. Therefore it is assumed that one cycle is the interval of reorder points. When the lead time is assumed to have exponential probability distribution, the lot-size and reorder point which minimize total cost are obtained. And as the lead time increases, the order quantity and the total cost are greater, but the reorder point increases by a certain point of time and then decreases.
Up to the present, the operating time has been studied on only a single aircraft attacking a single target or multiple targets under enemy threats. This study is to determine optimal operating time and appropriate size of aircrafts attacking multiple targets. Measures of mission effectiveness is defined through derivation of the probability of the various events associated with operating. By using these measures, the expected benefit of operating and the expected cost of operating are generated as a function of time. To formulate operating time determination model, the expected gain of operating is defined as the difference between the expected benefit of operating and the expected cost of operating. The model can be used to determine optimal operating time which maximizes the expected gain of operating, and can be used as the basis for determining the appropriate size of aircrafts.
In the transportation network problems, it is often more desirable to select multiple number of optimal parths to prepare for additional constratints being imposed than to choose single optimal path. This paper addresses 'the problem of finding the k-shortest paths visiting p-specified nodes in a network'. The solution method is derived and the example of application is shown. The keypoint for determining the k-shortest paths via p-specified nodes is to combine the Shier's k-shortest path algorithm and the principle of optimality of dynamic programming method. Finally, for a transportation network problem consisting of national main routes, the k-shortest paths via some specified cites are obtained by using the solution method developed here.