• 제목/요약/키워드: DISTRIBUTION

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농산물 유통단계 축소에 관한 연구 -농산물 물류센터를 중심으로-

  • 주우진;조규식
    • 한국유통학회지:유통연구
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    • 제1권2호
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    • pp.173-198
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    • 1996
  • Distribution of farm produce in Korea is known to be inefficient due to the numerous stages that exist in the distribution channel. This has resulted in dissatisfaction for both farmer and consuers; farmers sell their produce at low prices to middlemen while consumers pay high prices for them because of price increases that occur in the distribution chain. We apply Spengler's theory of double marginalization to show that price increases are inevitable as the length of the farm distribution chain increases. We then show that the negative effects of double marginalization can be contained by setting up a physical distribution center. The physical distribution center effectively reduces the stages in the distribution from 5 or 6 stages to 3 or 4 stages. We also lay out the design and major characteristics of the distribution center, as well as the expected cost savings.

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중국의 유통시장 개방정책과 한국기업의 대응전략 (The Open Policy of Chinese Distribution Market and Counterplan of Korean Firms)

  • 강영문
    • 통상정보연구
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    • 제8권3호
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    • pp.277-297
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    • 2006
  • Joined WTO, China has revised or removed continuously some of existing enter barriers which have been protecting Chinese distribution market. Chinese government intend to open completely it's distribution market in 2007. Such as the open policy of Chinese distribution impact on Korean firms which invest in China. in order to occupy China's market, Korean firms needs to prepare counterplan on change of China's distribution environments. China's distribution environment is uncertain on account of remaining communism system even though opening it's distribution market. The purpose of this paper is to suggest diverse counterplan of Korean firms and answer how Korean firms can enter the China's distribution market successfully. through exmaninig how China's distribution channel is formulated and implemented. this study exhibits a model for strategy of Korean firms and shows implementations schemes.

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Statistical Properties of Kumaraswamy Exponentiated Gamma Distribution

  • Diab, L.S.;Muhammed, Hiba Z.
    • International Journal of Reliability and Applications
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    • 제16권2호
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    • pp.81-98
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    • 2015
  • The Exponentiated Gamma (EG) distribution is one of the important families of distributions in lifetime tests. In this paper, a new generalized version of this distribution which is called kumaraswamy Exponentiated Gamma (KEG) distribution is introduced. A new distribution is more flexible and has some interesting properties. A comprehensive mathematical treatment of the KEG distribution is provided. We derive the $r^{th}$ moment and moment generating function of this distribution. Moreover, we discuss the maximum likelihood estimation of the distribution parameters. Finally, an application to real data sets is illustrated.

Integrating Operation of Dispersed Generation to Automation Distribution Center for Distribution Network Reconfiguration

  • Park, Joon-Ho;Kim, Jae-Chul;Moon, Seung-Il
    • KIEE International Transactions on Power Engineering
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    • 제2A권3호
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    • pp.102-108
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    • 2002
  • Due to the many attractive aspects of DG in the future power distribution system, distribution automation will be a center hub of integration of the distribution system and resources to satisfy the various needs of customers in a competitive and deregulated environment. In this paper, operation strategies are presented which use network reconfiguration of the automated distribution systems with DG as a real-time operation tool for loss reduction and service restoration from the view of distribution operation. The algorithms and operation strategies of an automated distribution system with DG are introduced to achieve the positive effects of DG in distribution systems. A simple case study shows the effectiveness of the proposed operation strategies.

이산형 동적 물류시스템에서 물류센터의 위치 (Location of the Distribution Centers in a Discrete Dynamic Distribution System)

  • 장석화
    • 산업경영시스템학회지
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    • 제31권2호
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    • pp.19-27
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    • 2008
  • This paper addresses determining the location of the distribution centers in a discrete dynamic distribution system. In discrete and finite time horizon, the demands of retailers are dynamic for the periods. Some locations among the retailers can be chosen for the role of the distribution centers at the beginning of each period. The distribution centers have to be located at the location of minimizing logistics cost. Logistics cost factors are the operation cost and the fixed cost of distribution center, and the transportation cost. The distribution centers of minimizing sum of operation cost, fixed cost and transportation cost are determined among retailers in each period for the planning period. A mathematical model was formulated and a dynamic programming based algorithm was developed. A numerical example was shown to explain our problem.

주문크기에 따라 다른 공급처를 이용하는 다단계 물류시스템의 경제적 설계 (The Economic Design of the Multi-stage Distribution System Using Different Supplier according to Order Size)

  • 장석화
    • 산업경영시스템학회지
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    • 제26권1호
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    • pp.85-94
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    • 2003
  • In this paper, a mathematical model is developed for economic design of multi-stage distribution system that consists of factory, central distribution centers, local distribution centers and retailers. The retailers are supplied products from different stage suppliers according to order size. The retailers are supplied products from factory if demand amount is large, central distribution center if medium, local distribution center if small. The economic design is to determine the economic size of facility factors that consist of distribution system. The cost factors are transportation cost from supply places to demand places, handling cost at distribution centers and inventory holding cost at retailers. It is to determine the transportation route of each retailer, the size and number of the vehicle at factory and distribution centers, the handling amount at distribution centers in order to minimize the total costs. The mathematical model is represented, the solution procedure is developed, and a numerical example is shown.

음이항분포의 특성을 이용한 조달기간 수요 분석 (Diagnosis of Lead Time Demand Based on the Characteristics of Negative Binomial Distribution)

  • 안선응;김우현
    • 산업경영시스템학회지
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    • 제28권4호
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    • pp.79-84
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    • 2005
  • Some distributions have been used for diagnosing the lead time demand distribution in inventory system. In this paper, we describe the negative binomial distribution as a suitable demand distribution for a specific retail inventory management application. We here assume that customer order sizes are described by the Poisson distribution with the random parameter following a gamma distribution. This implies in turn that the negative binomial distribution is obtained by mixing the mean of the Poisson distribution with a gamma distribution. The purpose of this paper is to give an interpretation of the negative binomial demand process by considering the sources of variability in the unknown Poisson parameter. Such variability comes from the unknown demand rate and the unknown lead time interval.

배전계획 시스템(DISPLAN) 및 배전계통 운영계획 시스템(DLPLAN)의 개발 (The Development of Distribution Planning System and Distribution Line Planning System)

  • 채우규;박창호;정종만;정영호
    • 대한전기학회:학술대회논문집
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    • 대한전기학회 2004년도 하계학술대회 논문집 A
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    • pp.73-75
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    • 2004
  • This paper presents the ability and the application of software packages for distribution planning which are DISPLAN(Distribution Planning System) and DLPLAN(Distribution Line Planning System) developed in KEPCO. After calculating size and position of maximum load by administration section for distribution, it forecasts the demand of distribution load considering growth location, increment, new load plan, etc of load by annual. Also it calculates distribution loss, voltage drop using modeled distribution line by you, and support for establishment and enlargement plan of substation and distribution line, decision of most optimal path. And it presents the abstract of used algorithm to develop this system.

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The new odd-burr rayleigh distribution for wind speed characterization

  • Arik, Ibrahim;Kantar, Yeliz M.;Usta, Ilhan
    • Wind and Structures
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    • 제28권6호
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    • pp.369-380
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    • 2019
  • Statistical distributions are very useful in describing wind speed characteristics and in predicting wind power potential of a specified region. Although the Weibull distribution is the most popular one in wind energy literature, it does not seem to be able to perfectly fit all the investigated wind speed data in nature. Thus, many studies are still being conducted to find flexible distribution for modelling wind speed data. In this study, we propose a new Odd-Burr Rayleigh distribution for wind speed characterization. The Odd-Burr Rayleigh distribution with two shape parameters is flexible enough to model different shapes of wind speed data and thus it can be an alternative wind speed distribution for the assessment of wind energy potential. Therefore, suitability of the Odd-Burr Rayleigh distribution is investigated on real wind speed data taken from different regions in the South Africa. Numerical results of the conducted analysis confirm that the new Odd-Burr Rayleigh distribution is suitable for modelling most of the considered real wind speed cases and it also can be used for predicting wind power.

정부 품질보증활동 데이터 활용을 위한 Zero-Inflated 포아송 분포 적용 (Application of Zero-Inflated Poisson Distribution to Utilize Government Quality Assurance Activity Data)

  • 김지훈;이창우
    • 품질경영학회지
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    • 제46권3호
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    • pp.509-522
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    • 2018
  • Purpose: The purpose of this study was to propose more accurate mathematical model which can represent result of government quality assurance activity, especially corrective action and flaw. Methods: The collected data during government quality assurance activity was represented through histogram. To find out which distributions (Poisson distribution, Zero-Inflated Poisson distribution) could represent the histogram better, this study applied Pearson's correlation coefficient. Results: The result of this study is as follows; Histogram of corrective action during past 3 years and Zero-Inflated Poisson distribution had strong relationship that their correlation coefficients was over 0.94. Flaw data could not re-parameterize to Zero-Inflated Poisson distribution because its frequency of flaw occurrence was too small. However, histogram of flaw data during past 3 years and Poisson distribution showed strong relationship that their correlation coefficients was 0.99. Conclusion: Zero-Inflated Poisson distribution represented better than Poisson distribution to demonstrate corrective action histogram. However, in the case of flaw data histogram, Poisson distribution was more accurate than Zero-Inflated Poisson distribution.