• Ocean and Polar Research
• /
• 제29권3호
• /
• pp.273-282
• /
• 2007

For an efficient management and utilization of marine biodiversity information, we made an attempt to develop the Korea Marine Biodiversity Information System (KoMBIS), building a species name inventory of Korea marine organisms. The inventory includes 17 organism groups: phytoplankton, zooplankton, algae and halophyte, sponges, cnidarians, rotifers, nematodes, bryozoans, brachiopods, molluscs, echiurans, annelids, arthropods, echinoderms, urochordates and fish. The species names were collected from 37 different references and reviewed for validity by taxonomists, which resulted in 9,798 valid names in addition to 1,845 synonyms. The Korea marine species inventory is the first one of this kind, for previous Korean species name inventories were mostly composed of terrestrial and freshwater organisms. KoMBIS, the information system developed, contains not only the species name but also information on morphological and ecological characteristics such as distribution, DNA barcode, and references. This system is convenient for the inputting of new data and servicing users through the internet, so that management and utilization of the biodiversity information is more efficient. Linking the DNA barcode data with species information provides an objective measure for identification of a species, which accommodates the recommendation of Consortium for the Barcode of Life, and makes the Korea marine biodiversity information compatible with international databases. Considering the frequent exchange of marine organisms internationally via ballast water and such issues as climate change, this information system will be useful in many areas of marine biodiversity.

• 한국병원경영학회지
• /
• 제3권1호
• /
• pp.83-99
• /
• 1998

The purpose of this study is to investigate factors influencing the attitude and satisfaction with inventory management of hospitals. Data were collected from 344 employees in two hospitals located in Seoul and one hospital located in Choong-Chung Do, Korea, using a self-administered questionnaire. Items included in the self-administered questionnaire were hospital and socioeconomic characteristics of personnels such as the level of knowledge, practice, attitude, and satisfaction with inventory management of hospitals. Major findings were as follows; Job position was significantly associated with satisfaction with inventory management. According to age, sex, type of position and aptitude of personnel the level of positive attitude to and satisfaction with inventory management showed significant association. Generally, those who had higher level of knowledge and practice showed a higher tendency toward positive attitude of inventory management, except for those in medical support post. A higher tendency of satisfaction with inventory management was also observed, with the exception of personnel in nurse post. This study showed that major factors affecting attitude toward inventory management are level of knowledge and practice, and factors affecting satisfaction are job position and aptitude. The level of attitude and satisfaction explained by these factors were 46.8% and 12.2%, respectively. According to the results of this study, higher level of knowledge and practice, job position and aptitude appear to be essential for the implementation of effective inventory management. Factors affecting attitude and satisfaction of inventory management should be studied more in depth systematically so that other objective test and measurements can be developed.

• 한국산림과학회지
• /
• 제101권2호
• /
• pp.213-219
• /
• 2012

제5차 국가산림자원조사는 다양한 산림자원의 현황을 평가하고 시간경과에 따른 산림자원의 변화를 모니터링하기 위하여 연년조사체계로 개편되었다. 본 연구는 충청북도를 대상으로 연년조사체계에서 수집된 현지조사 표본점 자료를 이용하여 일정시점의 평균임목축적을 추정하기 위한 방법을 모색하기 위해 수행되었다. 연년통계량의 산출을 위하여 임상구분의 표본층을 고려하지 않은 단순임의추출법과 표본층을 고려한 사후층화이중추출법의 추정식을 이용한 추정치를 비교한 결과, 사후층화이중추출법에 의한 추정치의 정확도가 높은 것으로 나타났다. 최근 5년간 수집된 현지조사 자료를 통합하기 위하여 조사년도의 차이를 고려하지 않은 시차 무시법(Temporally Indifferent Method), 조사년도별 추정치를 산출한 후 통합하는 단순이동평균법, 그리고 연도별 표본개수에 의해 가중치를 부여하는 가중이동평균법에 의한 평균임목축적과 추정분산을 비교하였다. 평균임목축적은 시차 무시법과 가중이동평균법에서 동일한 것으로 나타났지만, 추정치의 정도를 나타내는 추정분산은 가중이동평균법을 이용한 것이 약간 향상되었으며, 결과적으로 연도별 변이를 반영할 수 있는 가중이동평균법이 보다 적합한 것으로 평가되었다.

• 시스템엔지니어링학술지
• /
• 제13권1호
• /
• pp.79-88
• /
• 2017

For the PBL contract, it is necessary for the contracting parties to share information regarding the reasonable inventory-level and the cost of its repair parts for the estimated demand. There are various models which can be used for this purpose. Among them, V-METRIC model is considered to be the most efficient and is most frequently applied. However, this model is usually used for optimizing the inventory level of the repair parts of the system under operation. The model uses a time series forecast model to determine the demand rate, which is a mandatory input factor for the model, based on past field data. However, since the system at the deployment stage has no operational performance record, it is necessary to find another alternative to be used as the demand rate of the model application. This research applies the V-METRIC model to find the optimal inventory level and cost estimation for repairable items to meet the target operational availability, which is a key performance indicator, at the time of the PBL contract for the deployment system. This study uses the calculated value based on the allocated MTBF to the system as the demand rate, which is used as input data for the model. Also, we would like to examine changes in inventory level and cost according to the changes in target operational availability and MTBF allocation.

• Industrial Engineering and Management Systems
• /
• 제12권3호
• /
• pp.172-180
• /
• 2013

We herein consider a stochastic multi-item inventory management problem in which a warehouse sells multiple items with stochastic demand and periodic replenishment from a supplier. Inventory management requires the timing and amounts of orders to be determined. For inventory replenishment, trucks of finite capacity are available. Most inventory management models consider either a single item or assume that multiple items are ordered independently, and whether there is sufficient space in trucks. The order cost is commonly calculated based on the number of carriers and the usage fees of carriers. In this situation, we can reduce future shipments by supplementing items to an order, even if the item is not scheduled to be ordered. On the other hand, we can reduce the average number of items in storage by reducing the order volume and at the risk of running out of stock. The primary variables of interest in the present research are the average number of items in storage, the stock-out volume, and the number of carriers used. We formulate this problem as a multi-objective optimization problem. In a numerical experiment based on actual shipment data, we consider the item shipping characteristics and simulate the warehouse replenishing items coordinately. The results of the simulation indicate that applying a conventional ordering policy individually will not provide effective inventory management.

• 유통과학연구
• /
• 제19권11호
• /
• pp.59-68
• /
• 2021

Purpose: The Covid-19 pandemic has had excessively severe impacts on all the nodes and edges of any supply chain due to changes in consumer behaviours and lockdown restrictions from governments among countries. This article aims to provide a simulating experiment on how a supply chain deals with supply disruption risks by flexibility in the inventory level of each sector as a buffer considering the overall cost to fulfil demand in the market. Research design, data and methodology: Agent-based simulation techniques are used to determine the cost-efficiency and customer waiting time related to varying inventory levels of each member in the supply chain when using inventory buffers. Findings: This study has shown that any sudden changes in the inventory level of each sector are likely to impact the rest of the supply chain. Among all sectors, the wholesaler will be impacted more severely than others. Also, the manufacturing sector is the most suitable node to adjust inventory depending on its manufacturing ability. Conclusion: The findings of the study provide insightful implications for decision-makers to adjust inventory levels and policymakers to maintain manufacturing activities in the context of the pandemic restrictions to deal with the excessive demand and potential supply disruption risks.

• 한국산림과학회지
• /
• 제98권2호
• /
• pp.133-141
• /
• 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.

• 한국지능시스템학회:학술대회논문집
• /
• 한국퍼지및지능시스템학회 2001년도 추계학술대회 학술발표 논문집
• /
• pp.27-30
• /
• 2001

A inventory management system of the manufacturing industry has a model of different kinds according to the objective and the situation. A inventory management system needs superior system technique in demand forecast, economical efficiency, reliability and application for stable supply of the finished goods, the raw materials and the parts. This paper proposes a demand forecast method based on fuzzy structured neural network, which uses min-operation and trapezoid membership function of fuzzy rules. So we can have an intelligent inventory management system for optimized decision-making of forecasting data with expert's opinion in fuzzy environment. This inventory management system used an intelligence agent and it could be adapted to asystemenvironmentchangeinorder.

• 예술인문사회 융합 멀티미디어 논문지
• /
• 제5권4호
• /
• pp.683-691
• /
• 2015

The purpose of this paper is to determine the actual strategies used in Inventory Management in the field of Distribution phenomenon. In the first part of the research, theoretical backgrounds will be reviewed in order to provide better understanding the importance of Inventory Management in Distribution Management. The qualitative data were gathered by face to face interviews and a phone interview from four selected intermediaries. The study finds intermediaries practicing JIT in the sales and distribution and maximizing the sales activities and minimizing the inventory cost by giving up on an opportunity cost.

• 초등상담연구
• /
• 제7권1호
• /
• pp.37-66
• /
• 2008

This study has been carried out with the aims of developing a comprehensive inventory of peer relation problems, which is based on the Korean Inventory of Interpersonal Problems Circumplex scales (KIIP-C). It also aims to examine reliability and validity of the inventory, and provide a preliminary norms. For the current study, inventory items were culled from the following sources: the Korean Inventory of Interpersonal Problems Circumplex scales (KIIP-C), various current scales dealing with peer relations of children, and a survey of children's peer relation problems. The preliminary items for each scale were administered to 220 fourth through sixth graders. The resulting skewness of distribution, kurtosis, mean and standard deviation, item-total correlation, internal consistency, and meanings of the items were comprehensively considered in selecting the final 64 items. In order to check on reliability, internal consistency, convergence and discrimination reliability of the final items and scales, the data were collected from 1,046 fourth through sixth graders currently attending four elementary schools. The study results can be summarized as follows. Internal consistency of the inventory of peer relation problems showed the range between .70-.94 (median value of .75), split-half reliability between .67-.83 (median value of .75), and test-retest reliability between .69-.88 (median value of .81). Inter-correlation of 8 scale scores and factor analysis results of individual ipsative scores showed that the circumplex property of inventory of peer relation problems is appropriate. Regarding correlations between various existing indices and scales related to peer relation problems, both convergence reliability and discrimination reliability were found to be fair. When the scale scores for the inventory of peer relation problems compared according to the factors of gender and grade, the primary effects of gender and grade were statistically meaningful whereas effects of interaction between gender and grade were not. This study can be considered meaningful in that it constructed an inventory for a comprehensive evaluation of peer relation problems specific for children and provided preliminary norms.