• Title/Summary/Keyword: distribution System

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The Development of the Real Time Optimal Byproduct Gas Supply System

  • Kim, Jeonghwan;Yi, Heui-Sok;Chonghum Han
    • 제어로봇시스템학회:학술대회논문집
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    • 2002.10a
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    • pp.69.6-69
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    • 2002
  • The optimal byproduct gas supply system was developed for the optimal management of the byproduct gases in the iron and steel making process based on EXCEL environment. It supplies optimal byproduct gas distribution result as well as analysis including expected electricity generation, holder level change, amount of oil consumption, energy distribution to each boiler, and efficiency of energy resource. To reflect the changing environment of the plant such as maintenance, the system was developed to easily change the optimization model for changing configuration of the system. To verify the performance of the system , case studies for various situation was performed with the developed system, a...

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Reliability of a Consecutive-k-out-of n : G System with Common-Cause Outage

  • Kim, Ho-Yong;Jung, Kyung-Hee
    • Journal of the Korean Operations Research and Management Science Society
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    • v.17 no.3
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    • pp.181-193
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    • 1992
  • This paper shows the model of a consecutive-k-out-of-n :G system with common-cause outages. The objective is to analytically derive the mean operating time between failures for a non-repairable component system. The average failure time of a system and the system availability are also considered. Then, the model is extended to a system with repairable components and unrestricted repair, in which service times are exponentially distributed.

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Study for Influence of grid-connected PV System on The Distribution System. (계통연계형 태양광발전시스템의 배전계통에 미치는 영향)

  • 정영석;강기환;유권종;송진수
    • Proceedings of the KIPE Conference
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    • 1998.07a
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    • pp.100-102
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    • 1998
  • In recent years, for the viewpoint of environment and electric power demand for stable secure, new energy such as photovoltaic system (PV) become increasingly popular. In case of interconnecting PV to the commercial electric company, two problems will occur when operating in isclation with the other general consumers. One is doing harm to the power quality. And the other is the security problem caused by charching a part of commercial system line that has to be no voltage. In this paper, a simple modelling of distribution system and grid-connected PV system and simulation result were proposed.

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Estimating Suitable Probability Distribution Function for Multimodal Traffic Distribution Function

  • Yoo, Sang-Lok;Jeong, Jae-Yong;Yim, Jeong-Bin
    • Journal of the Korean Society of Marine Environment & Safety
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    • v.21 no.3
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    • pp.253-258
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    • 2015
  • The purpose of this study is to find suitable probability distribution function of complex distribution data like multimodal. Normal distribution is broadly used to assume probability distribution function. However, complex distribution data like multimodal are very hard to be estimated by using normal distribution function only, and there might be errors when other distribution functions including normal distribution function are used. In this study, we experimented to find fit probability distribution function in multimodal area, by using AIS(Automatic Identification System) observation data gathered in Mokpo port for a year of 2013. By using chi-squared statistic, gaussian mixture model(GMM) is the fittest model rather than other distribution functions, such as extreme value, generalized extreme value, logistic, and normal distribution. GMM was found to the fit model regard to multimodal data of maritime traffic flow distribution. Probability density function for collision probability and traffic flow distribution will be calculated much precisely in the future.

QUOTIENT MOMENTS OF THE ERLANG-TRUNCATED EXPONENTIAL DISTRIBUTION BASED ON RECORD VALUES AND A CHARACTERIZATION

  • Kumar, Devendra
    • Journal of applied mathematics & informatics
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    • v.32 no.1_2
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    • pp.7-16
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    • 2014
  • Erlang-truncated exponential distribution is widely used in the field of queuing system and stochastic processes. This family of distribution include exponential distribution. In this paper we establish some exact expression and recurrence relations satisfied by the quotient moments and conditional quotient moments of the upper record values from the Erlang-truncated exponential distribution. Further a characterization of this distribution based on recurrence relations of quotient moments of record values is presented.

A Study on the Structure and Policy of Distribution Channels in China (중국의 유통경로구조와 정책에 관한 연구)

  • Lee, Sang-yoon
    • Journal of Distribution Science
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    • v.3 no.2
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    • pp.57-75
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    • 2005
  • By the research seen by examining plan which can improve at least systematization of a distribution sector, reform opening got into stride to Chinese distribution channel structure by improvement of a premodern Chinese circulation system and non-efficiency-structure. The competition means of the China distribution industry, the development direction, and the Chinese distribution channel strategy are received focusing on the 1990s, and it is going to show a way proposal.

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Distribution System and the Environment (환경과 유통시스템)

  • Sejo Oh;Lim, Young-Kyun
    • Proceedings of the Korean DIstribution Association Conference
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    • 2000.10a
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    • pp.183-185
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    • 2000
  • A proactive approach on environmental issues may be one of critical competitive factors for global business in near future. Especially, distribution systems are very related to the various environmental issues, including development of green products and packaging, selection of the transportation vehicles and pallets, design of retail stores and distribution facilities, participation for solving the local environmental problems, and so on. In order to approach the environmental issues on distribution systems, for the first time managers need to understand the strategic framework for green management and then, to find the key success factors of leading companies in this field. Finally, future directions of strategic green management on distribution systems are discussed and shared.

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A study on the Method to Determine Optimal Service Level of a Distribution Center in Supply Chain Management Environment (SCM환경에서의 물류센터의 최적 서비스 수준 결정 방법)

  • 조용욱;박명규
    • Journal of the Korea Safety Management & Science
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    • v.3 no.3
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    • pp.55-64
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    • 2001
  • The main objective of this research is to develop a model to select the optimal input service level for a distribution center-multi branch inventory distribution system. With the continuous review policy, the distribution center places an order for specific order quantity to an outside supplier, and the order quantity is replenished after a certain lead time Also, each branch places an order for particular order quantity to the distribution center to satisfy the customer demands, and receives the replenishment after a lead time. When an out of stock condition occurs during an order cycle, a backorder is placed to the upper level to fill the unfilled demands. With these situation, variable demand and variable lead time are used for better industrial practice. Further, actual lead times with a generic lead time distribution are used in developing the control model. Under the actual lead time model, the customer service measures actually attained for the distribution center and each branch are explained as the effective customer service measures. Thus, throughout the optimal control (using computer search procedures), we can select the optimal input service levels for the distribution center and each branch to attain the effective service levels for each branch which is consistent with the goal level of service for each branch. At the same time, the entire distribution system keeps minimum inventories.

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한약재 품질관리의 개선방향

  • Park, Jin-Han
    • 대한한약학회:학술대회논문집
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    • 2007.11a
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    • pp.129-144
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    • 2007
  • In order for stable demand-supply and regularity of distribution, "The regulations for management of demand-supply and distribution of medicinal herbs" were established on 1995. Therefore, the medicinal herbs of good quality have been controled to be distributed in the market. However, to be wide of the purpose, the standardized sound distribution system was caused due to the governmental control on demand-supply to protect domestic farmers who produce the material for medicinal herbs, which results in the over distribution of non-standardized or illegally imported medicinal herbs. In addition, because of the distribution of faulty or poor medicinal herbs, there are chances of affecting bad effects on public health. The standardized medicinal herbs cover 514 different kinds in total, of which 69 products are specified to be standardized in the oriental medicine product companies. Also, in order to protect farmers who produce the materials for medicinal herbs, the amount of imported materials are regulated in normal times. The 14 different materials for medicinal herbs, which are allowed to be imported to a certain amount only when the shortage of goods or sudden rise of prices is to happen, are frequently introduced into domestic market as food not as medical usage, and the origin of those illegally changes to home cropped one for the distribution in the market. In addition, the system of distribution are to be disordered and the condition for the distribution of medicinal herbs of good quality can not be made since they illegally changes the usage of the materials for medicinal herbs from their original one and can not be regulated by the domestic laws.

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A Study of Estimation Method for Auto-Regressive Model with Non-Normal Error and Its Prediction Accuracy (비정규 오차를 고려한 자기회귀모형의 추정법 및 예측성능에 관한 연구)

  • Lim, Bo Mi;Park, Cheong-Sool;Kim, Jun Seok;Kim, Sung-Shick;Baek, Jun-Geol
    • Journal of Korean Institute of Industrial Engineers
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    • v.39 no.2
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    • pp.109-118
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    • 2013
  • We propose a method for estimating coefficients of AR (autoregressive) model which named MLPAR (Maximum Likelihood of Pearson system for Auto-Regressive model). In the present method for estimating coefficients of AR model, there is an assumption that residual or error term of the model follows the normal distribution. In common cases, we can observe that the error of AR model does not follow the normal distribution. So the normal assumption will cause decreasing prediction accuracy of AR model. In the paper, we propose the MLPAR which does not assume the normal distribution of error term. The MLPAR estimates coefficients of auto-regressive model and distribution moments of residual by using pearson distribution system and maximum likelihood estimation. Comparing proposed method to auto-regressive model, results are shown to verify improved performance of the MLPAR in terms of prediction accuracy.