• 제목/요약/키워드: Stock Inventory

검색결과 233건 처리시간 0.024초

A Comparison of Systematic Sampling Designs for Forest Inventory

  • Yim, Jong Su;Kleinn, Christoph;Kim, Sung Ho;Jeong, Jin-Hyun;Shin, Man Yong
    • 한국산림과학회지
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    • 제98권2호
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    • pp.133-141
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    • 2009
  • This study was conducted to support for determining an efficient sampling design for forest resources assessments in South Korea with respect to statistical efficiency. For this objective, different systematic sampling designs were simulated and compared based on an artificial forest population that had been built from field sample data and satellite data in Yang-Pyeong County, Korea. Using the k-NN technique, two thematic maps (growing stock and forest cover type per pixel unit) across the test area were generated; field data (n=191) and Landsat ETM+ were used as source data. Four sampling designs (systematic sampling, systematic sampling for post-stratification, systematic cluster sampling, and stratified systematic sampling) were employed as optimum sampling design candidates. In order to compute error variance, the Monte Carlo simulation was used (k=1,000). Then, sampling error and relative efficiency were compared. When the objective of an inventory was to obtain estimations for the entire population, systematic cluster sampling was superior to the other sampling designs. If its objective is to obtain estimations for each sub-population, post-stratification gave a better estimation. In order to successfully perform this procedure, it requires clear definitions of strata of interest per field observation unit for efficient stratification.

kNN 알고리즘과 계절별 Landsat TM 위성영상을 이용한 단양군 지역의 지상부 바이오매스 탄소저장량 추정 (Estimation of Aboveground Biomass Carbon Stock in Danyang Area using kNN Algorithm and Landsat TM Seasonal Satellite Images)

  • 정재훈;허준;유수홍;김경민;이정빈
    • 대한공간정보학회지
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    • 제18권4호
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    • pp.119-129
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    • 2010
  • 원격탐사 자료와 현장 자료를 이용한 산림 바이오매스 탄소량 추정은 전 세계적으로 각광을 받고 있으며, 국내의 경우 2010년 국립산림과학원에서 개발한 수종별 탄소배출계수를 통해 보다 정확한 탄소량 추정이 가능하게 되었다. 본 연구에서는 2006년부터 2009년까지 구축된 제5차 국가산림자원조사(National Forest Inventory, NFI) 자료를 기반으로 k-Nearest Neighbor(kNN) 알고리즘을 이용하여 충청북도 단양군의 지상부 바이오매스 탄소량을 추정하였다. 원격탐사 자료로는 계절 변화가 뚜렷한 한반도의 기후가 산림 지역의 분광 특성 및 이에 따른 탄소량 추정에 미치는 영향을 조사하기 위해 2004년부터 2005년까지 계절별로 취득된 Landsat TM 위성영상을 이용하였다. 분석결과 단양군 지역의 지상부 바이오매스 총 탄소량은 최대 3542768.49tonC에서 최소 3329037.51tonC 사이로 추정되었으나, 계절에 따른 특정 경향은 발견되지 않았다.

일본잎갈나무의 탄소저장량 및 흡수량 추정 (Estimation of Carbon Stock and Uptake for Larix kaempferi Lamb.)

  • 강진택;손영모;임종수;전주현
    • 한국기후변화학회지
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    • 제7권4호
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    • pp.499-506
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    • 2016
  • This study was conducted to estimate carbon stock and uptake for Larix kaempferi Lamb., the single species, which is the most widely distributed one following Pinus densiflora, using data from 6th national forest inventory and forest type map of 1:5,000. Overall distribution area of Larix kaempferi in South Korea was shown as 272,800ha, in detail, Gangwon-do was the most widely distributed region with 39.6% (108,141 ha) of the whole forest area, and Gyeongsangbuk-do was 18.6%(50,839 ha), Chungcheongbuk-do was 15.1%(41,205ha) in order. As the results of analysis in carbon stock and uptake for each province, the values were high with Gyeonggi-do 109.0 tC/ha, $10.3tCO_2/ha/yr$, Gangwon-do 349.1 tC/ha, $9.7tCO_2/ha/yr$ in order, and Jeollabuk-do was the lowest with 78.3 tC/ha, $7.6tCO_2/ha/yr$. Also, the results of estimation in total carbon stocks and uptakes by year (1989~2015) were turned out that total carbon stocks and uptakes were 24,891 thousand tC, $2,428thousand\;tCO_2$ in 2015, increasing about 4.8 times and 3.8 times each compared with 5,238 thousand C/ha, $640thousand\;CO_2$ in 1989. Although forest area was decreased 26.6% with 371,884 ha in 1989 to 272,800 ha in 2015, carbon stocks and uptakes were increased in 2015 in that forest stock was increased 126% compared to 1989.

SOC 자본스톡 추계에 있어서 수익적 지출과 자본적 지출의 적합 분배 (An Appropriated Share between Revenue Expenditure and Capital Expenditure in Capital Stock Estimation for Infrastructure)

  • 조진형;이세재;오현승;권정훈;정남용;김명수
    • 산업경영시스템학회지
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    • 제41권2호
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    • pp.153-158
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    • 2018
  • At the Bank of Korea, capital stock statistics were created by the PIM (perpetual inventory method) with fixed capital formation data. Asset classifications also included 2 categories in residential buildings, 4 non-residential buildings, 14 constructions, 9 transportation equipment, 28 machinery, and 2 intangible fixed assets. It is the Korean government accounting system which is developed much with the field of the national accounts including the valuation, but until 2008 it was consistent with single-entry bookkeeping. Many countries, including Korea, were single-entry bookkeeping, not double-entry bookkeeping which can be aggregated by government accounting standard account. There was no distinction in journaling between revenue and capital expenditure when it was consistent with single-entry bookkeeping. For example, we would like to appropriately divide the past budget accounts and the settlement accounts data that have been spent on dredging into capital expenditure and revenue expenditure. It, then, tries to add the capital expenditure calculated to FCF (fixed capital formation), because revenue expenditure is cost for maintenance etc. This could be a new direction, especially, in the estimation of capital stock by the perpetual inventory method for infrastructure (SOC, social overhead capital). It should also be noted that there are differences not only between capital and income expenditure but also by other factors. How long will this difference be covered by the difference between the 'new series' and 'old series' methodologies? In addition, there is no large difference between two series by the major asset classification level. If this is treated as a round-off error, this is a problem.

초고층 건축공사의 특수성을 고려한 최적 자재 재고 관리 방안에 관한 연구 -철근공사를 중심으로- (An optimal inventory management system for high-rise building -Focused on Re-bar Works-)

  • 김근환;이수환;윤정숙;박경모;김창덕
    • KIEAE Journal
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    • 제13권1호
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    • pp.151-157
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    • 2013
  • Since high-rise building construction sites are usually located in crowded city areas, sufficient spaces for the inventories of key materials are rarely available. This spatial constraints have been one of the critical challenge that may cause productivity loss and increasing costs of the high-rise building construction projects. The proper material inventory management is certaing a key to the success of high-rise building construction projects as it handles difficulty of securing material stock yards, changes in demands, uncertain delivery time through integrating the construction schedules and actively responding to the key materials attributes. In this light, this research analyzes the latest inventory model, (Q,r) model, in accordance with the high rise building characteristics. This research suggests an optimal inventory management of re-bar considering various demands and lead times. The case study is also presented with regard to the re-bar inventory management.

벽지업체를 위한 POS 시스템 설계 및 활용 방안 (Design and Applications of the POS System for Wallpaper Companies)

  • 박병권;김태현
    • 한국전자거래학회지
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    • 제6권3호
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    • pp.1-16
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    • 2001
  • In this paper, we introduced a POS(Point of Sale) system for a wallpaper company. We designed the database schema for the POS system, and proposed various application areas of the POS system. Especially, we discussed such application areas as inventory control, marketing, product development, and distribution channel. The quality of product management is enhanced by precise ABC inventory control and safety stock control. Marketing strategies can be more precisely established, and their effects can be measured. The development time can be shortened and new products can be developed based on the real market demands. Distributors can improve their management quality using precise sales data.

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(S-1, S) Inventory Policy Including Non-stocking Alternative as an Optimal Policy for Low Demand Items

  • Park, Kyung-S.
    • 대한산업공학회지
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    • 제6권1호
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    • pp.23-26
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    • 1980
  • When the number of stockable item types is too large in certain large scale inventory operations, it is important to classify and screen out the items that need not be stocked; and for the low demand or high cost items, it may be preferable to use one-for-one-ordering policy. In this paper, the problem is formulated in somewhat easier terms, and a criterion is developed that can be used in deciding what items not to stock.

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Determining of an Optimal Spares Stocking Policy with Reliability Improvement

  • Jun Hong Kim
    • 산업경영시스템학회지
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    • 제23권56호
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    • pp.1-8
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    • 2000
  • We present in this paper an optimal stocking policy for a repairable inventory system under reliability improvement. For this purpose we illustrate commercial flight lines with a large number of planes. This model is supported by a central repair facility. For modeling the nonstationary M/M/s system we implemented SIMAN for computing the time dependent number of units in the repair facility with any number of units. In this model we provide the required inventory level at each location. 1y month. for various levels of associated stock-out risk.

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An One-for-One Ordering Inventory Policy with Poisson Demands and Losses with Order Dependent Leadtimes

  • Choi, Jin-Yeong;Kim, Man-Sik
    • 한국경영과학회지
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    • 제12권1호
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    • pp.27-33
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    • 1987
  • A stochastic model for an inventory system in which depletion of stock takes place due to random demand as well as random loss of items is studied under the assumption that the intervals between cussessive unit demands as well as those between cussessive unit losses, are independently and identically distributed random variables having negative exponential distributions with respective parameters .mu. and .lambda. It is further assumed that leadtime for each order is an outstanding-order-dependent random variable. The steady state probability distribution of the net inventory level is derived under the continuous review (S -1, S) inventory policy, from which the total expected coast expression is formulated.

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Development of a Stochastic Inventory System Model

  • Sung, Chang-Sup
    • 대한산업공학회지
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    • 제5권1호
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    • pp.59-66
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    • 1979
  • The objective of this paper is to develop a stochastic inventory system model under the so-called continuous-review policy with a Poisson one-at-a-time demand process, iid customer inter-arrival times {Xi}, backorders allowed, and constant procurement lead time $\gamma$. The distributions of the so-called inventory position process {$IP_{(t-r)}$} and lead time demand process {$D_{(t-r,t)}$} are formulated in terms of cumulative demand by time t, {$N_t$}. Then, for the long-run expected average annual inventory cost expression, the "ensemble" average is estimated, where the cost variations for stock ordering, holding and backorders are considered stationary.

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