• Title/Summary/Keyword: Optimal Time-Interval

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Optimal Operation Scheduling Using Possibility Fuzzy Theory on Cogeneration Systems Connected with Auxiliary Equipment (각종 보조설비가 연계된 열병합발전시스템에서 가능성 퍼지이론을 적용한 최적운전계획수립)

  • Kim, Sung-Il;Jung, Chang-Ho;Lee, Jong-Beon
    • Proceedings of the KIEE Conference
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    • 1995.11a
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    • pp.128-130
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    • 1995
  • This paper presents the optimal operation scheduling on cogeneration systems connected with auxiliary equipment by using the possibility fuzzy theory. The probability fuzzy theory is a method to obtain the possibility of the solution from the fuzzification of coefficients. Simulation is carried out to obtain the boundary of heat production in each time interval. Simulation results shows effectively the flexible operation boundary to establish operation scheduling.

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A Study on the Air Traffic Control Rule and Optimal Capacity of Air Base (항공교통관제규칙과 비행장의 최적규모에 관한 연구)

  • Lee Ki-Hyun
    • Journal of the military operations research society of Korea
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    • v.2 no.1
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    • pp.177-184
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    • 1976
  • As the organizational size of a military service or business increases and its management becomes complex, the success in its management depends less on static type of management but more on careful, dynamic type of management. In this thesis, an operations research technique is applied to the problems of determining optimal air traffic control rule and of optimal capacity of air base for a military air base. An airport runway is regarded as the service facility in a queueing mechanism, used by landing, low approach, and departing aircraft. The usual order of service gives priority different classes of aircraft such as landings, departures, and low approaches; here service disciplines are considered assigning priorities to different classes of aricraft grouped according to required runway time. Several such priority rules are compared by means of a steady-state queueing model with non-preemptive priorities. From the survey conducted for the thesis development, it was found that the flight pattern such as departure, law approach, and landing within a control zone, follows a Poisson distribution and the service time follows an Erlang distribution. In the problem of choosing the optimal air traffic control rule, the control rule of giving service priority to the aircraft with a minimum average waiting cost, regardless of flight patterns, was found to be the optimal one. Through a simulation with data collected at K-O O Air Base, the optimal take-off interval and the optimal capacity of aircraft to be employed were determined.

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Design the Time-Interval Based Fairness Partitioning Method in DVE (DVE에서 시간 기반 균등 부하 분산 방식 설계)

  • Won, Dong-Kee;An, Dong-Un;Chung, Seung-Jong
    • Journal of the Institute of Electronics Engineers of Korea CI
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    • v.45 no.1
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    • pp.48-54
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    • 2008
  • MMORPGs may involve a great number of concurrent players, and those servers usually have to manage hundred, or even thousands of avatars co-existing in the same virtual world. So if failing to send a command or an event message, or sending it too late may cause damages to the avatar evolution(death, injury, loss of resources), and may result in unjustified penalties for the player. Many policies could be defined to realize a ranking evaluation of available servers. Unfortunately, due to the highly dynamic characteristics of server loads and network performances, any optimal allocation would soon become sub-optimal. In order to solve those problems we propose the "time-interval based fairness partitioning method"(TIP). TIP will distribute the avatar to the game server equally with time-interval in order to avoid the problems form the unfairness of game servers load.

The Analysis of the Transportation Process of Mokpo Port (목포항 운송과정의 분석)

  • Nam, M.U.;Lee, C.Y.;Park, G.K.;Yun, M.O.
    • Journal of Korean Port Research
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    • v.9 no.1
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    • pp.33-43
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    • 1995
  • Korean economic and industrial structure has been seperated into some areas with the trend of the change to the bloc system of international economy: the Gyeongin including the capital area, the Middle-West, the South-West, the South-East, and the Eastern sea areas. Mokpo port has played a major role as the central one of the South-West area and the entrance of Yeong-san river of Jeonnam province gate. Some studies has been done on the Mokpo port, but there is no research of the analytical approach about it. In this paper, we analyze the data of 1994's on the domestic and oceangoing piers in the Mokpo port and simulate the transportation process of it through a queueing model. The results of the simulation are summarized as follows: The average arrival interval of the domestic vessel is 6.034 hours. The average service time and the berth utility rate are 24.056 hours and over 100%, respectively. The average arrival interval of the oceangoing vessel is 34.48 hours. The average service time and the berth utility rate are 120.04 hours and the 34.91%, respectively. The proposal to improving of the Mokpo port as follows: It is desirable to extend the capacity of domestic pier to about 50% for the optimal utility rate of 70% and in the case of oceangoing pier to be increase 65% of the vessel capacity for the optimal utility rate of 70%.

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Optimal Software Release Time Considering Maintenance during Operation (출시후 보수를 고려한 소프트웨어의 최적 출시시기)

  • Lee, Chin-Seung;Na, Il-Yong;Hong, Jung-Sik;Lie, Chang-Hoon
    • Journal of Korean Institute of Industrial Engineers
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    • v.30 no.4
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    • pp.261-266
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    • 2004
  • In this paper, the software reliability growth model which incorporates the periodic maintenance after the release is proposed. Using the proposed model, the debugging and periodic maintenance cost subject to the required level of the software reliability are investigated. An optimal software release time is derived for a fixed interval of periodic maintenance. To validate the proposed model, release times obtained in this study are compared with examples. The proposed investigation is expected to be served as one of factors in determining the release time of the software where periodic maintenance is considered.

A Study on the Optimal Appointment Scheduling for the Ship Maintenance with Queueing System with Scheduled Arrivals (예약도착 대기행렬을 활용한 함정정비 최적 예약시간 산정에 관한 연구)

  • Ko, Jae-Woo;Kim, Gak-Gyu;Yun, Bong-Kyu
    • Journal of the Korean Operations Research and Management Science Society
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    • v.38 no.3
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    • pp.13-22
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    • 2013
  • Queueing system with scheduled arrivals is useful in many fields where both customers' waiting time and servers' operation time (utilization) are important, and arrival time of customers is possible to be controlled. In this paper, we analyzed the operation of ship maintenance with the queueing system with scheduled arrival. Based on the model presented by Pegden and Rosenshine [8], who dealt with exponential service time, we extended the service time distributions to phase-type distribution which is able to include a wide range of real stochastic phenomena. Since most activities in the military are carried out under tight control and schedule, scheduled arrival queue has quite good applicability in this area. In this context, we applied queue with scheduled arrival to the optimal booking time decision for the ship maintenance in the navy.

The Usefulness of Hard Time Task for Weapon System in Considering Shape Parameter of Weibull Life Time Distribution and Maintenance Cost (와이블 분포의 형상모수와 정비비용을 고려한 Hard Time 예방정비업무의 효용성에 관한 연구)

  • Kim, Mansoo;Ji, Woong Ki
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.17 no.1
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    • pp.274-283
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    • 2016
  • The study of maintenance planning is important in military weapon systems because it can improve their availability and reduce the operational and maintenance cost during the total life cycle. In maintenance planning, it is important to determine the preventive maintenance task and its optimal interval. This paper focuses on the hard time task, which is one of the preventive maintenance tasks. A hard time task removes an item or restorative action before some specified maximum age limit to prevent functional failure. The Monte-Carlo simulation model was proposed to help understand the cost effectiveness of a hard time task. In the simulation, various shape parameters of the Weibull distribution and cost ratio of corrective maintenance to preventive maintenance were assumed. Using a Monte-Carlo simulation, a quantified cost saving effect and optimal preventive maintenance interval were suggested.

Operational Strategy for Increasing Ethanol Production in Repeated Fed-batch Ethanol Fermentation Using Saccharomyces cerevisiae (Saccharomyces cerevisiae 를 이용한 반복 유가식 ethanol 발효에서 ethanol 생산량을 증가를 위한 운전 전략)

  • Lee, Sang-Eun;Seo, Hyeon-Beom;Kwon, Min-Cheol;Lee, Hyeon-Yong;Jung, Kyung-Hwan
    • KSBB Journal
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    • v.25 no.2
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    • pp.187-192
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    • 2010
  • We designed the optimal operational strategy in repeated fed-batch ethanol fermentation using Sacchromyces cerevisiae ATCC 24858 in views of ethanol yield, specific ethanol production rate, and ethanol productivity, when the aeration rate were controlled at 0.0 and 0.33 vvm. Coincidentally, the time intervals of withdrawal-fill of culture medium (24 and 36 h) were investigated. Ethanol yield and ethanol productivity when the aeration was carried out at 0.33 vvm were superior to those when the aeration was not carried out. Additionally, those parameters when the time interval of withdrawal-fill of culture medium was 24 h were superior to those when time interval of withdrawal-fill of culture medium was 36 h. The total ethanol production reached at the greatest value, 703.8 g-ethanol, when the aeration was carried out at 0.33 vvm and the time interval of withdrawal-fill of culture medium was 24 h. In this study, we verified experimentally the necessity of designing the operational strategy for increasing ethanol production in terms of aeration rate and time interval of withdrawal-fill of culture medium in the repeated fed-batch ethanol fermentation.

A Dynamic Lot-Sizing and Outbound Dispatching Problem with Delivery Time Windows and Heterogeneous Container Types (납품시간창과 다종의 컨테이너를 고려한 동적 로트크기결정 및 아웃바운드 디스패칭 문제)

  • Seo, Wonchul;Lee, Woon-Seek
    • Journal of Korean Institute of Industrial Engineers
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    • v.40 no.4
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    • pp.435-441
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    • 2014
  • This paper considers a single-product problem for inbound lot-sizing and outbound dispatching at a third-party warehouse, where the demand is dynamic over the discrete time horizon. Each demand must be delivered into the corresponding delivery time window which is the time interval characterized by the earliest and latest delivery dates of the demand. Ordered products are shipped by heterogeneous container types. Each container type has type-dependent carrying capacity and the unit freight cost depends on each container type. Total freight cost is proportional to the number of each container type used. Also it is assumed that related cost functions are concave and backlogging is not allowed. The objective of the paper is to simultaneously determine the optimal inbound lot-sizing and outbound dispatching plans that minimize total costs which include ordering, shipping, and inventory holding costs. The optimal solution properties are characterized for the problem and then a dynamic programming algorithm is presented to find the optimal solution.

A Study on method development of parameter estimation for real-time QRS detection (실시간 QRS 검출을 위한 파라미터 estimation 기법에 관한 연구)

  • Kim, Eung-Suk;Lee, Jeong-Whan;Yoon, Ji-Young;Lee, Myoung-Ho
    • Proceedings of the KOSOMBE Conference
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    • v.1995 no.11
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    • pp.193-196
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    • 1995
  • An algorithm using topological mapping has been developed for a real-time detection of the QRS complexes of ECG signals. As a measurement of QRS complex energy, we used topological mapping from one dimensional sampled ECG signals to two dimensional vectors. These vectors are reconstructed with the sampled ECG signals and the delayed ones. In this method, the detection rates of CRS complex vary with the parameters such as R-R interval average and peak detection threshold coefficient. We use mean, median, and iterative method to determint R-R interval average and peak estimation. We experiment on various value of search back coefficient and peak detection threshold coefficient to find optimal rule.

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