• 제목/요약/키워드: Optimal plan

검색결과 790건 처리시간 0.025초

Design of a Life Test Sampling Plan Based on the Cost Model

  • Kwon, Young-Il
    • International Journal of Reliability and Applications
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    • 제6권1호
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    • pp.31-39
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    • 2005
  • An economic life test sampling plan for products with exponential lifetime distribution is developed. To reduce test time, a test plan with curtailed Type II censoring is considered. A cost model is constructed which involves three cost components; test cost, accept cost, and reject cost. Determination of optimal plan minimizing the expected average cost per lot is discussed with a constraint related to consumer's risk. Some numerical examples are provided.

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Ballasting plan optimization for operation of a 2D floating dry dock

  • Yoon, Kyungho;Kim, Hyo-Jin;Yeo, Seungkyun;Hong, Younghwa;Cha, Jihye;Chung, Hyun
    • Structural Engineering and Mechanics
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    • 제74권4호
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    • pp.521-532
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    • 2020
  • A floating dry dock is an advanced structure that can provide a solution for dry dock space shortages. The critical point in floating dock operation is compensating the deflection caused by a heavy payload by adjusting the water level in the ballast system. An appropriate ballasting plan warrants safe and precise construction on a floating dock. Particularly, in the case of a 2D floating dock, ballasting plan evaluation is crucial due to complex deformation modes. In this paper, we developed a method to calculate the optimal ballasting plan for accurate and precise construction on a 2D floating dock. The finite element method was used for considering the flexibility of the floating dock as well as the construction blocks. Through a gradient-based optimization algorithm, the optimal ballasting plan for the given load condition was calculated in semi-real time (5 min). The present method was successfully used for the actual construction of an offshore structure on the 2D floating dock.

유전자 알고리즘을 이용한 조선 소조립 로봇용접 공정 작업 계획 및 3-D 시뮬레이션 (Work Planning Using Genetic Algorithm and 3-D Simulation at a Subassembly Line of Shipyard)

  • 강현진;박주용;박현철
    • 대한용접접합학회:학술대회논문집
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    • 대한용접접합학회 2004년도 춘계 학술발표대회 개요집
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    • pp.18-20
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    • 2004
  • This study is to find the optimal work plan of robot welding in the subassembly process of shipbuilding and to verify the found solution through 3-D simulation. The optimal work plan was established by evenly distributing the work amount to each stage and finding the shortest work sequence. The shortest work sequence was found by using the genetic algorithm. The result was compared with the practically adopted case and verified through the 3-D simulation.

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제약조건과 사전확률이 고려된 선형비용모형의 수정검사정책 (Rectifying Inspection of Linear Cost Model with a Constraint and a $\alpha$-Optimal Acceptance Sampling)

  • 이도경;이근희
    • 산업경영시스템학회지
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    • 제14권24호
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    • pp.1-5
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    • 1991
  • Various linear cost models have been proposed that can be used to determine a sampling plan by attributes. This paper is concerned with this sampling cost model when the probability that the number of nonconforming item is smaller than the break-even quality level is known. In addition to this situation, a constraint by AOQL is considered. Under these conditions, optimal sampling plan which minimize the average cost per lot is suggested.

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Optimal three step-stress accelerated life tests for Type-I hybrid censored data

  • Moon, Gyoung Ae
    • Journal of the Korean Data and Information Science Society
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    • 제26권1호
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    • pp.271-280
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    • 2015
  • In this paper, the maximum likelihood estimators for parameters are derived under three step-stress accelerated life tests for Type-I hybrid censored data. The exponential distribution and the cumulative exposure model are considered based on the assumption that a log quadratic relationship exits between stress and the mean lifetime ${\theta}$. The test plan to search optimal stress change times minimizing the asymptotic variance of maximum likelihood estimators are presented. A numerical example to illustrate the proposed inferential procedures and some simulation results to investigate the sensitivity of the optimal stress change times by the guessed parameters are given.

의사결정지원기법을 이용한 농촌유역 수질관리모형의 개발 (Development of Water Quality Management Model for Rural Area Using Decision Support System)

  • 양영민;권순국
    • 한국농공학회:학술대회논문집
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    • 한국농공학회 1999년도 Proceedings of the 1999 Annual Conference The Korean Society of Agricutural Engineers
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    • pp.783-788
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    • 1999
  • In this study, a decision support system (DSS) was developed to calculate optimal wastetreatment cost, treatment level and treatment quantity of various pollutants for applying for in rural basin. The DSS includes a gegraphic informatino system (GIS), relational database system (RDBS), water quality models(Loading function , WASP5), watershed pollution load calculation module(SPLC), optimal water quality management plan to satisfy the water quality regulations. The system can be modified by user to trace the optimal condition for decision. The effort was conducted to apply the developed DSS to select the for optimal water quality management plan small rural basin called Kwanri Stream.

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Optimal Transmission Expansion Planning Considering the Uncertainties of the Power Market

  • Bae, In-Su;Son, Min-Kyun;Kim, Jin-O
    • Journal of Electrical Engineering and Technology
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    • 제5권2호
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    • pp.239-245
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    • 2010
  • Today, as power trades between generators and loads are liberalized, the uncertainty level of power systems is rapidly increasing. Therefore, transmission operators are required to incorporate these uncertainties when establishing an investment plan for effective operation of transmission facilities. This paper proposes the methodology for an optimal solution of transmission expansion plans for the long-term in a deregulated power system. The proposed model uses the probabilistic cost of transmission congestion for various scenarios and the annual increasing rates of loads. The locations and the installation times of expanded transmissions lines with minimum cost are acquired by the model. To minimize the investment risk, the Mean-Variance Markowitz portfolio theory is applied to the model. In a case study, the optimal solution of a transmission expansion plan is obtained considering the uncertain power market.

전력시장 불확실성을 고려한 최적 송전시스템 확장계획 (Optimal Transmission Expansion Planning Considering the Uncertainties of Power Market)

  • 손민균;김진오
    • 전기학회논문지
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    • 제57권4호
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    • pp.560-566
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    • 2008
  • Today, as the power trades between generation companies and power customer are liberalized, the uncertainty level of operated power system is rapidly increased. Therefore, transmission operators as decision makers for transmission expansion are required to establish a deliberate investment plan for effective operations of transmission facilities considering forecasted conditions of power system. This paper proposes the methodology for the optimal solution of transmission expansion in deregulated power system. The paper obtains the expected value of transmission congestion cost for various scenarios by using occurrence probability. In addition, the paper assumes that increasing rates of loads are the probability distribution and indicates the location of expanded transmission line, the time for transmission expansion with the minimum cost for the future by performing the Montecarlo simulation. To minimize the investment risk as the variance of the congestion cost, Mean-Variance Markowitz portfolio theory is applied to the optimization model by the penalty factor of the variance. By the case study, the optimal solution for transmission expansion plan considering the feature of market participants is obtained.

Recursive compensation algorithm application to the optimal edge selection

  • Chung, C.H.;Lee, K.S.
    • 제어로봇시스템학회:학술대회논문집
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    • 제어로봇시스템학회 1992년도 한국자동제어학술회의논문집(국제학술편); KOEX, Seoul; 19-21 Oct. 1992
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    • pp.79-84
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    • 1992
  • 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 optimal 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, the Path Coordinator is proposed to have the capabilities of an obstacle avoidance strategy and a traveling salesman problem strategy (TSP). 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 Hopfield 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 used to solve this problem, having the capabilities of selecting the optimal edges by the modified Genetic Algorithm and computing the optimal nodes along the optimal edges by the Recursive Compensation Algorithm.

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변화지역에 대한 갱신주기별 모니터링 운영방안 (Monitoring Management Plan for Changed Region with respect to Revision Periods)

  • 한유경;염준호;김용일;이병길
    • 한국측량학회지
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    • 제31권5호
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    • pp.401-410
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    • 2013
  • 최근에 공간정보에 대한 수요가 증가함에 따라, 이에 대한 지속적인 모니터링과 변화지역에 대한 효과적인 갱신을 수행하여 정보의 최신성을 확보하고 보다 정확한 정보를 취득하기 위한 다양한 연구가 진행되고 있다. 이러한 연구의 일환으로, 본 연구에서는 변화지역에 대한 갱신주기별 최적의 모니터링 운영방안을 도출하고자한다. 이를 위해, 갱신주기를 실시간갱신과 주기갱신으로 나누어 각각에 대한 대표적인 모니터링 방법의 특성과 현재 우리나라의 적용현황에 대해 서술하였다. 각 방법에 대한 장단점을 파악하여 실무 적용 가능성을 평가해보았으며, 이를 토대로 최종적으로 실시간갱신과 주기갱신 각각에 대한 최적의 모니터링 운영방안을 도출하였다.