• 한국수자원학회논문집
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• 제55권3호
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• pp.191-203
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• 2022

본 연구는 국내 지하수자원 관리 취약성 평가에 따른 취약 지역 연구의 후속 연구이다. 이번 연구에서는 선행연구에서 도출해낸 국내 지하수자원관리 취약 지역에 대하여 지하수자원 관리 최적 운영 방안을 제시하였다. 본 연구는 지하수자원 관리 최적 운영 방안을 제시하기에 앞서 취약 지역을 대상으로 지하수위 변화 및 해수침투 면적 변화의 현황을 지하수 유동 해석 프로그램인 MODFLOW를 이용하여 파악하였다. 2009년부터 2018년 10년간의 기초 자료를 이용한 분석 결과 지하수위는 하강하고 해수침투 면적은 증가하였다. 본 연구의 최종 목적인 지하수자원 관리 최적 운영 방안은 지하수위 상승과 해수침투 저감을 위해 긍정적인 효과를 기대할 수 있는 대안들을 조합하여 총 4가지로 선정하였다. 선정된 최적 운영 방안을 적용하여 지하수위와 해수침투의 변화량을 분석한 결과 모든 방안에서 긍정적인 효과가 나타났다. 본 연구에서 제시하는 지하수자원 관리 최적 운영 방안은 국내 지하수자원 취약 지역뿐만 아니라 개발이 필요한 지역에도 적용하여 효율적인 지하수자원 관리 대책 수립에 근거가 될 것을 기대한다.

• 품질경영학회지
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• 제24권4호
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• pp.207-223
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• 1996

These days, customers have attached great importance to the function of product liability and quality assurance. In Korea, the single rectifying sampling inspection for attribute (KS A 3105) has been used. But this inspection plan given by tables (KS A 3105) has some defects. There are limitations in the range of applications and irrationality of approximate probability and the double rectifying sampling inspection is not mentioned. Moreover, ATI (average total inspection) does not reflect sampling costs and the loss of nonconforming item. Therefore, the objectives of this study is to develope new algorithms and computer program that provide the optimal sampling inspection plan based on minimum linear costs (single & double inspection plan). The result of this study revealed that the new algorithm is less than KS A 3105 in ATI and basically, double inspection plan is more economical. Also it comes over restrictions in KS A 3105. So, it is definite that the optimal solution can be obtained considering cost factors in manufacturing and sampling process, and costs can be saved in the long term.

• 품질경영학회지
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• 제21권1호
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• pp.108-120
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• 1993

In this article an economic life test sampling plan is considered for repairable products when the products in each lot have the same interfailure time distribution, but the mean time between failure (MTBF) of a lot varies from lot to lot according to a known prior distribution. A cost model is constructed which consists of test cost, accept cost, and reject cost. Determination of the optimal plan which minimizes the expected average cost per lot is discussed. Numerical examples are presented to illustrate the use of the proposed sampling plans and sensitivity analyses for parameters of the prior distribution are performed.

• Journal of the Korean Data and Information Science Society
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• 제21권4호
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• pp.813-818
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• 2010

The least squares estimation method for model parameters under failure step-stress accelerated life tests is studied and a numerical example will be given to illustrate the proposed inferential procedures under the compound linear plans proposed as an alternative to the optimal quadratic plan, assuming that the exponential distribution with a quadratic relationship between stress and log-mean lifetime. The proposed compound linear plan for constant stress accelerated life tests and 4:2:1 plan are compared for various situations. Even though the compound linear plan was proposed under constant stress accelerated life tests, we found that this plan did well relatively in failure step-stress accelerated life tests.

• 품질경영학회지
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• 제17권1호
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• pp.48-59
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• 1989

The motor vehicle emission is expected to be constrained strongly in the future in accordance with the current policy as to prevention of air pollution. This paper establishes a sequential rectifying inspection plan which satisfies the standard motor vehicle emission for the automobile producers who are currently producting the automobiles with catalytic converts. This plan also considered the constraint of the effective motor vehicle emission by way of rectifying the certification test in the past. In order to evaluate the performance of the inspection plan, the recent certification test data have also been applied. The result of the application has proved that the rectified sequential inspection plan presented in this paper satisfies the standard motor vehicle emission and can be the optimal economic inspection plan. As a result the inspection plan given in this paper will be contributed to constrain the motor vehicle emission most effectively.

• Industrial Engineering and Management Systems
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• 제15권1호
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• pp.41-48
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• 2016

In this manuscript, a modified single sampling plan is proposed for the inspection of products in which the nonconforming items can be classified in to two categories namely critical and non-critical; and explained with the help of industrial example. The operating procedure of this plan is also proposed and the performance measures such as the probability of acceptance, average sample number, average total inspection and average out going quality are also derived. The optimal parameters are determined which will have minimum sample size. The efficiency of the proposed plan is also discussed over the conventional single sampling plan. The extensive tables for selecting a modified single sampling plan based on AQL and LQL are provided for both Binomial and Poisson distributions and explained with the help of industrial data.

• 제어로봇시스템학회:학술대회논문집
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• 제어로봇시스템학회 1991년도 한국자동제어학술회의논문집(국제학술편); KOEX, Seoul; 22-24 Oct. 1991
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• pp.1939-1943
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• 1991

Path planning is an important task for optimal motion of a robot in structured or unstructured environment. The goal of this paper is to plan the shortest collision-free path in 3D, when a robot is navigated to pick up some tools or to repair some parts from various locations. To accomplish the goal of this paper, the Path Coordinator is proposed to have the capabilities of an obstacle avoidance strategy[3] and a traveling salesman problem strategy(TSP)[23]. The obstacle avoidance strategy is to plan the shortest collision-free path between each pair of n locations in 2D or in 3D. The TSP strategy is to compute a minimal system cost of a tour that is defined as a closed path navigating each location exactly once. The TSP strategy can be implemented by the Neural Network. The obstacle avoidance strategy in 2D can be implemented by the VGraph Algorithm. However, the VGraph Algorithm is not useful in 3D, because it can't compute the global optimality in 3D. Thus, the Path Coordinator is proposed to solve this problem, having the capabilities of selecting the optimal edges by the modified Genetic Algorithm[21] and computing the optimal nodes along the optimal edges by the Recursive Compensation Algorithm[5].

• 한국조명전기설비학회:학술대회논문집
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• 한국조명전기설비학회 2007년도 춘계학술대회 논문집
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• pp.224-228
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• 2007

It is focused on a methodology to establish a optimal inspection cycle of electrical facility of railroad Decision method of optimal inspection cycle is a process which establishes maintenance plan for facilities' immanent function as using reliability theory in operation term In order to ensure normal operation in a given condition, the decision method is logical for selecting effective maintenance plan to consider characteristic of system In estimation of failure rate, critical facility is selected firstly. After that, proper distribution function on each facility is decided to investigate distribution function for extraction of failure rate. Next, cost produced by the case that facility's failure is occurred is surveyed. Finally, maintenance method developed until now is investigated, before suitable model for the facility applying maintenance method is developed, and that maintenance decision is made. Therefore, this process is the method to find optimal inspection cycle for reasonable cost and effective reliability on facility.

• 전기학회논문지
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• 제67권9호
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• pp.1174-1180
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• 2018

In December 2017, the government announced plans to increase the current proportion of renewable energy from 7% to 20% by 2030 through a plan called the Renewable Energy 3020 Implementation Plan. Therefore, the demand for installation of photovoltaic(PV), wind turbine(WT) and battery energy storage system(BESS) is expected to increase. In particular, the system combined with energy storage system(ESS) is expected to take up a large portion since PV and WT can receive high renewable energy certificates(REC) weights when combined with ESS. In this study, we calculate the optimal capacity of the power conditioning system(PCS) and the BESS by comparing the economical efficiency and maximize the efficiency of the PV-BESS system in which the PV and the BESS are connected. By analyzing the system marginal price(SMP) and REC, it maximize profits through application of REC weight 5.0 and optimal charge-discharge scheduling according to the SMP changes.

• 한국재난정보학회 논문집
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• 제14권2호
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• pp.219-229
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• 2018

연구목적: 본 연구는 전면전 위기 고조 시 효율적인 접경지역 주민 철수경로 및 일정수립에 최적화된 모형 제안을 목적으로 한다. 연구방법: 현실 반영을 위해 실제 도시의 지형, 인구, 도로 데이터를 기반으로 Kruscal's Algorithm, Harmony Search, CCRP를 활용하여 행정구역(읍 면 동) 단위 네트워크를 생성한 후, 최적의 주민철수로를 찾는 순서로 실험을 진행한다. 연구결과: 반복실험을 통해 최적의 주민철수 경로 및 스케줄을 산출하였고, 주민 철수시간 평균을 최소화하는 시나리오가 주민철수 계획수립에 효율적이라는 것을 확인하였다. 결론: 본 연구에서 제안하는 주민철수 모형을 활용하면, 주민철수 계획 수립 시 기존의 정성적인 분석에 정량적 분석을 보완하여 보다 효율적인 계획 수립이 가능할 것으로 사료된다.