• 제목/요약/키워드: Time-Cost factor

검색결과 629건 처리시간 0.023초

최적전원차성을 위한 절감 시뮬레이션 방법의 개발 (The Development of the Simplified Simulation Technique for the Best Generation Mix)

  • 송길영;최재석
    • 대한전기학회논문지
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    • 제37권6호
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    • pp.339-349
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    • 1988
  • The simplified simulation technique for the best generation mix is developed and the studied results are described. The best generation mix over study time from the economic point of view can be easily constructed by this technique. Generator maintenance, the operation of pumpgenerator and LNG thermal generator with limited energy are simulated variously, so a role of each generator is also easily evaluated. Through parametric analysis, useful planning guide points are obtained for the best generation mix transition, nuclear power plant construction cost, ruanium cost , oil cost, coal cost and midnight factor in the study case corresponding to real power system size model.

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Optimal Burn-In under Waranty

  • Kim, Kui-Nam;Lee, Kwang-Ho
    • Communications for Statistical Applications and Methods
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    • 제6권3호
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    • pp.719-728
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    • 1999
  • This paper discusses an optimal burn-in procedure to minimize total costs based on the assumption that the failure rate pattern follows a bimodal mixed Weibull distribution. The procedure will consider warranty period as a factor of the total expected burn-in cost. A cost model is formulated to find the optimal burn-in time that minimizes the expected burn-in cost. Conditional reliability for warranty period will be discussed. An illustrative example is included to show how to use the cost model in prctice.

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Optimal Schedules of Periodic Preventive Maintenance Model with Different PM Effect

  • Lim, Jae-Hak
    • International Journal of Reliability and Applications
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    • 제9권1호
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    • pp.113-122
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    • 2008
  • In this paper, we consider a periodic preventive maintenance policy in which each preventive maintenance reduces the hazard rate of amount proportional to the failure intensity, which increases since the system started to operate. And the effect of preventive maintenance at each preventive maintenance epoch is different. The expected cost rate per unit time for the proposed model is obtained. We discuss the optimal number N of the periodic preventive maintenance and the optimal period x, which minimize the expected cost rate per unit time and obtain the optimal preventive maintenance schedule for given cost structures of the model. A numerical example is given for the purpose of illustrating our results when the failure time distribution is Weibull distribution.

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컨테이너터미널에서의 시간-동인활동기준원가의 분석 (Analysis of Time-Driven ABC in Container Terminal)

  • 이채민;신재영
    • 한국항해항만학회:학술대회논문집
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    • 한국항해항만학회 2014년도 추계학술대회
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    • pp.7-8
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    • 2014
  • 선사가 기항노선의 주요 선정요인으로 컨테이너터미널 하역비를 들 수 있으므로, 하역비의 원가를 산정하는 것은 매우 중요하지만 컨테이너터미널을 대상으로 한 활동기준원가분석의 연구는 미미한 실정이다. 본 연구는 시간을 고려하여 개선된 시간-동인활동기준원가계산을 바탕으로 컨테이너터미널에서 적용 가능한 Conceptual Framework과 원가관리모델을 제시한다.

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MCMA알고리즘에서 weighting factor에 의한 적응 등화 성능 비교 (The Comparison of the Adaptive Equalization Performance in MCMA Algorithm by the Weighting Factor)

  • 임승각
    • 한국인터넷방송통신학회논문지
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    • 제10권4호
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    • pp.137-143
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    • 2010
  • 본 논문은 채널에서 발생되는 진폭과 위상 찌그러짐을 보상하기위한 MCMA (Modified Constant Modulus Algorithm)의 비용 함수에서 weighting factor에 의한 자기 적응 등화의 성능을 비교한 것이다. MCMA 는 기존 방식인 CMA 의 비용 함수를 개선하여 등화기의 출력에서 진폭과 위상에 대한 오차 함수를 최소화할 수 있으며, 이때 weighting factor 의 값이 이용된다. 등화기의 성능을 비교할 때 initial state와 steady state로 분류하고 미리 정해진 레벨까지의 수렴 시간과 수렴 속도 및 안정된 등화 상태를 나타내며, 이들은 weighting factor에 의해 결정된다. 컴퓨터 시뮬레이션을 통하여 weighting factor에 따라 이들 2 가지 state 에 대한 각각 상이한 결과를 확인할 수 있었다. 본 결과를 이용하여 사용되는 통신 채널의 환경에 따라 weighting factor 값을 적절히 선택한다면 고품질의 디지털 정보 전송이 가능하게 될 것으로 기대된다.

An Offloading Scheduling Strategy with Minimized Power Overhead for Internet of Vehicles Based on Mobile Edge Computing

  • He, Bo;Li, Tianzhang
    • Journal of Information Processing Systems
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    • 제17권3호
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    • pp.489-504
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    • 2021
  • By distributing computing tasks among devices at the edge of networks, edge computing uses virtualization, distributed computing and parallel computing technologies to enable users dynamically obtain computing power, storage space and other services as needed. Applying edge computing architectures to Internet of Vehicles can effectively alleviate the contradiction among the large amount of computing, low delayed vehicle applications, and the limited and uneven resource distribution of vehicles. In this paper, a predictive offloading strategy based on the MEC load state is proposed, which not only considers reducing the delay of calculation results by the RSU multi-hop backhaul, but also reduces the queuing time of tasks at MEC servers. Firstly, the delay factor and the energy consumption factor are introduced according to the characteristics of tasks, and the cost of local execution and offloading to MEC servers for execution are defined. Then, from the perspective of vehicles, the delay preference factor and the energy consumption preference factor are introduced to define the cost of executing a computing task for another computing task. Furthermore, a mathematical optimization model for minimizing the power overhead is constructed with the constraints of time delay and power consumption. Additionally, the simulated annealing algorithm is utilized to solve the optimization model. The simulation results show that this strategy can effectively reduce the system power consumption by shortening the task execution delay. Finally, we can choose whether to offload computing tasks to MEC server for execution according to the size of two costs. This strategy not only meets the requirements of time delay and energy consumption, but also ensures the lowest cost.

Optimal Electric Energy Subscription Policy for Multiple Plants with Uncertain Demand

  • Nilrangsee, Puvarin;Bohez, Erik L.J.
    • Industrial Engineering and Management Systems
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    • 제6권2호
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    • pp.106-118
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    • 2007
  • This paper present a new optimization model to generate aggregate production planning by considering electric cost. The new Time Of Switching (TOS) electric type is introduced by switching over Time Of Day (TOD) and Time Of Use (TOU) electric types to minimize the electric cost. The fuzzy demand and Dynamic inventory tracking with multiple plant capacity are modeled to cover the uncertain demand of customer. The constraint for minimum hour limitation of plant running per one start up event is introduced to minimize plants idle time. Furthermore; the Optimal Weight Moving Average Factor for customer demand forecasting is introduced by monthly factors to reduce forecasting error. Application is illustrated for multiple cement mill plants. The mathematical model was formulated in spreadsheet format. Then the spreadsheet-solver technique was used as a tool to solve the model. A simulation running on part of the system in a test for six months shows the optimal solution could save 60% of the actual cost.

Model Predictive Torque Control of Surface Mounted Permanent Magnet Synchronous Motor Drives with Voltage Cost Functions

  • Zhang, Xiaoguang;Hou, Benshuai;He, Yikang;Gao, Dawei
    • Journal of Power Electronics
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    • 제18권5호
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    • pp.1369-1379
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    • 2018
  • In this paper, a model predictive torque control (MPTC) without the use of a weighting factor for surface mounted permanent-magnet synchronous machine (SPMSM) drive systems is presented. Firstly, the desired voltage vector is predicted in real time according to the principles of deadbeat torque and flux control. Then the sector of this desired voltage vector is determined. The complete enumeration for testing all of the feasible voltage vectors is avoided by testing only the candidate vectors contained in the sector. This means that only two voltage vectors in the sector need to be tested for selecting the optimal voltage vector in each control period. Thus, the calculation time can be reduced when compared with the conventional enumeration method. On the other hand, a novel cost function that only includes the dq-axis voltage errors between the desired voltage and candidate voltage is designed to eliminate the weighting factor used in the conventional MPTC. Thus, the control complexity caused by the tuning of the weighting factor is effectively decreased when compared with the conventional MPTC. Simulation and experimental investigation have been carried out to verify the proposed method.

태양광 발전 연계 수전해 시스템의 경제성 분석 (Techno-Economic Analysis of Water Electrolysis System Connected with Photovoltaic Power Generation)

  • 황순철;박진남
    • 한국수소및신에너지학회논문집
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    • 제32권6호
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    • pp.477-482
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    • 2021
  • Hydrogen production, hydrogen production cost, and utilization rate were calculated assuming four cases of hydrogen production system in combination of photovoltaic power generation (PV), water electrolysis system (WE), battery energy storage system (BESS), and power grid. In the case of using the PV and WE in direct connection, the smaller the capacity of the WE, the higher the capacity factor rate and the lower the hydrogen production cost. When PV and WE are directly connected, hydrogen production occurs intermittently according to time zones and seasons. In addition to the connection of PV and WE, if BESS and power grid connection are added, the capacity factor of WE can be 100%, and stable hydrogen production is possible. If BESS is additionally installed, hydrogen production cost increases due to increase in Capital Expenditures, and Operating Expenditure also increases slightly due to charging and discharging loss. Even in a hydrogen production system that connects PV and WE, linking with power grid is advantageous in terms of stable hydrogen production and improvement of capacity factor.

의류 제품의 통신 판매와 소비자 구매 의도 -쇼핑 비용 지각과 쾌락적 쇼핑 성향을 중심으로- (Effects of Consumers' Perception of Shopping Cost and Recreational Shopping Orientation on Catalog Shopping of Apparel)

  • 이은주;이은영
    • 한국의류학회지
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    • 제20권5호
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    • pp.826-840
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    • 1996
  • With rapid changes in social and marketing environments, catalog retailing emerges as a new method of selling clothes in Korea. In catalog shopping, in-store and multi·store search behavior are omitted saving consumers time and effort. On the other hand, consumers may lose recreational enjoyment of shopping when they purchase clothes through catalog. In this study, consumers perception of shopping cost and recreational shopping orientation were tested as consumer characteristic intervening catalog shopping behavior. The concept of shopping cost was derived from Darian(1987)'s analysis of cost and benefit of store shopping and in-home shopping. A national sample of 700 adult women was surveyed and 477 questionnaires were returned and used for statistical analysis. Nine shopping cost perception variables were found to have significant positive relationships with the purchase intention of apparel through catalog. As a result of confirmatory factor analysis, two factors of shopping cost were found; perception of lack of shopping time and perception of store search effort. Causal modeling of LISREL analysis showed that percetion of lack of shopping time was strongly related with patronizing intention of catalog shopping. Since catalog shopping exclude enjoyment of store shopping activity, it can be logically inferred that recreational store shoppers have less chance of being catalog shoppers. However, the result of LISREL analysis showed that there were no negative relationship between recreational shopping orientation and catalog shopping intention. This suggests that consumers might experience enjoyment of shopping through catalog when properly presented.

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