• 한국실내디자인학회논문집
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• 제15권6호
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• pp.139-149
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• 2006

Because of economic growth and the social trend to respect individuality, people's average commodity volume tends to increase. It makes people perceive the importance of storage space. The storage planning without consideration of commodity volume in the apartment can not satisfy the needs of residents. This study is developed focused on the $85m^2$ apartment which is the most representative and general type. The objectives of the study are to investigate the storage-capacity of $85m^2$ apartment offered by 4 construction companies to know the present storage condition, to investigate the average volumes and type of commodities in 30 families located in Seoul and Kyungkido to produce the necessary storage-capacity, and lastly to produce optimal storage-capacity and proportion of optimal storage-capacity considering the volume of the furniture owned by each resident. The results of the study are 1) the storage capacity for commodity volume in $85m^2$ apartment is $19.41m^3$. 2) the optimal storage-capacity which only counts the storage volume of built-in furniture is $17.14m^3$ 3) the proportion of optimal storage-capacity is 9.5% of the house-capacity.

• 상하수도학회지
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• 제26권6호
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• pp.735-745
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• 2012

Storage method is one of major measures for reduction of CSOs pollutant loads and several projects have been done nationwide. But systematic analysis of intercepting capacity has not been studied to determine optimum size of storage facility. In this research, not only storage volume but also intercepting capacity which means flow capacity from intercepting facility to CSOs storage facility was studied and optimum sizing method for storage facility was proposed. The result shows that pollutants reduction efficiency can be increased significantly by increasing intercepting capacity and it might reduce storage volume and total construction costs. Intercepting capacity for the study area was evaluated and it was shown as equivalent to 83 % probability rainfall intensity.

• 한국시뮬레이션학회논문지
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• 제10권3호
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• pp.71-82
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• 2001

Considering material handling delay which occurs between storage and processing stations, we propose an algorithm to estimate the required storage capacity, i.e., number of aisles and number of openings in vertical and horizontal directions in each aisle, of an automated storage/retrieval(AS/R) system. Due to the random nature of storage and retrieval requests, proportion of single and dual commands is not known in advance. Two design criteria, maximum permissible overflow probability and maximum allowable storage/retrieval(S/R) machine utilization, are used to compute the storage capacity. Most of studies assume that storage capacity of AS/R systems is given, although it is a very important decision variable in the design phase. Therefore, the proposed model can be effectively used in the design phase of new AS/R systems.

• 대한산업공학회지
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• 제27권2호
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• pp.169-175
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• 2001

Most of studies on automated storage/retrieval (AS/R) system assumed that storage capacity is given, although it is a very important decision variable in the design phase. We propose a simple algorithm to estimate the required storage capacity, i.e., number of aisles and number of openings in vertical and horizontal directions in each aisle, of an AS/R system under stochastic demand, in which storage requests occur endogenously and exogenously while the retrieval requests occur endogenously from the machines. Two design criteria, maximum permissible overflow probability and maximum allowable storage/retrieval (S/R) machine utilization, are used to compute the storage capacity. This model can be effectively used in the design phase of new AS/R systems.

• 수산경영론집
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• 제37권2호
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• pp.111-139
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• 2006

Cold storage warehouse industry in Japan has been extended in its scale in terms of both the number of storages and cold storage capacity in order to meet the extended reproduction of the marine products industry. However, increasing total amount of the stored goods since mid 80s led to relative decrease of marine products while the number of storages was remained the same or decreased, though cold storage capacity was gradually increased and is maintained the increase of the average cold storage capacity. As structural change in the cold storage warehouse industry emerges, cold storage warehouses require new approach to individual storage management with 1)diversity of the stored goods; 2) more competition due to increase of the cold storage capacity; and 3) sizing of the average cold storage capacity. Therefore, this study analyzed how cold storage warehouse management activity with individual storage sizing changes; and significance of sizing and functional change in cold storage warehouses experiencing sizing, by observing leading cold storage warehouse industry of the metropolitan area in Japan. In conclusion, reorganization of cold storage warehouse industry in the metropolitan area in Japan can be summarized as follows: First, competition among cold storage warehouses in the metropolitan area in Japan is not simply limited to storage industry but extended to establishment and securing physical distribution function. Second, since cold storage warehouse industry is in Scrap & Build phase, decision of management executives on whether taking direction to maintain/continue enhancement of physical distribution function may cause drastic reorganization in the cold storage warehouse industry, Third, since profit of physical distribution management based on cold storage warehouses is insignificant, it is not easy to accomplish expected management outcome, Fourth, today's cold storage warehouse industry mainly characterized by diversity of the stored goods needs facility reorganization with comprehensive and functional integration covering from F class cold storage capacity to F&C class.

• 대한산업공학회지
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• 제25권2호
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• pp.274-281
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• 1999

In this paper, we determine the required storage capacity of a unit-load automated storage/retrieval system(AS/RS) under random storage assignment(RAN) and n-class turnover-based storage assignment(CN) policies. For each of the storage policies, an analytic model to determine the optimal storage capacity of the AS/RS is formulated so that the total cost related to storage space and space shortage is minimized while satisfying a desired service level. A closed form of optimal solutions for the RAN policy is derived from the model. For the CN policy, an optimal storage capacity is shown to be determined by applying the existing iterative search algorithm developed for the full turnover-based storage(FULL) policy. Finally, an application of the approach to the standard economic-order-quantity inventory model is provided.

• 한국농공학회논문집
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• 제58권2호
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• pp.65-71
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• 2016

The new concept of agricultural water supply potential, which is mean annual turnover rate times unit storage capacity, was introduced for agricultural reservoirs. We investigated characteristics of mean annual turnover rate and unit storage capacity for agricultural reservoirs with storage capacity of over $1million\;m^3$. The curve of agricultural water supply potential represents change in mean annul turnover rate according to change in unit storage capacity. The mean annual turnover rate and unit storage capacity in the reservoirs with high minimum storage ratio are significantly higher than those in the reservoirs with low minimum storage ratio. Most of unstable water supply reservoirs showed low mean annual turnover rate or low unit storage capacity, indicating that mean annual turnover rate may be an index of stability degree for agricultural water use. The reservoirs with mean annual turnover rate of over 2 and unit storage capacity of over 0.8 m may be estimated as the stable water supply zone for 10 frequency dry year. The reservoirs with high agricultural water supply potential can belong to the wide range of stable water supply zone. The results suggest that relation between mean annual turnover rate and unit storage capacity may be used in evaluating stability degree for agricultural water supply in the reservoirs.

• 한국컴퓨터정보학회논문지
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• 제10권4호
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• pp.221-228
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• 2005

데이터 저장장치는 서버의 내부나 근처에 있는 것으로 인식되어 왔으나 네트워크 기술의 발달로 저장장치 시스템은 주 전산기와 원거리에 떨어져 존재할 수 있게 되었다. 인터넷 시대에 데이터 량의 폭발적인 증가는 데이터를 저장하는 시스템과 이를 전송하는 시스템의 균형 있는 발전을 요구하고 있으며 SAN(Storage Area Network)이나 NAS(Network Attached Storage)은 이러한 요구를 반영하고 있다. 저장장치로부터 최적의 성능을 도출하기 위해서 복잡한 저장 네트워크의 용량과 한계를 파악하는 것이 중요하다. 파악된 데이터는 성능 조율의 기초가 되고 저장장치의 구매 시점을 결정하는데 사용될 수도 있다. 본 논문에서는 저장 네트워크 시스템의 큐잉 네트워크를 통한 분석적 모델을 제시한 다음, 이의 시뮬레이션하여 분석적 모델이 정당하다는 것을 입증한다.

• 한국항만경제학회지
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• 제21권1호
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• pp.59-72
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• 2005

There were many theoretical studies using mathematical models about a yard storage capacity in a container terminal so far, but a simulation approach is newly popularizing. The reason why the simulation studies about yard storage capacity were a few was that once the most important part in a container terminal was a quay part. However, from the economic crisis year of 1977, the yard storage part in a container terminal became a critical resource because of the shortage of SOC investment resources. Therefore, after discharging or loading even through there was a waiting in the quay part or not, it can be swiftly improved the efficiency of a container terminal if it was handled rapidly or smoothly in a container yard. So the accurate assessment of yard storage capacity in a container terminal was needed. This study planed to assess the operation capability of a container yard via a simulation model. The model included many chatacteristics of three Korean container terminals such as Gamman Hanjin, Uam, and Hutchinson Busan at the period of 1999 to 2000. The 95% percentile was chosen as a criterion for judging of the storage capability by the recommendation of KPC (1998) and JWD (1998). A simulation approach with system dynamics concept considering the multi-directional impacts within the related variables can probavly foresee the future storage capacity of a terminal not just the past.

• 인터넷정보학회논문지
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• 제17권2호
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• pp.1-9
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• 2016

클라우드 컴퓨팅 환경에서 사용자는 중앙처리장치, 메모리, 네트워크, 저장 장치 등과 같은 인프라를 IaaS(Infrastructure as a Service) 서비스로 제공받을 수 있다. 저장 장치의 경우 서비스 제공자가 제공하는 물리적인 자원들의 인스턴스가 제공하는 저장 용량이 제한되어 있으므로, SQL 서버가 사용할 수 있는 최대 저장 용량을 지원할 수 없다. 본 논문에서는 한정된 용량을 가진 인스턴스들의 네트워크 디스크를 공유하여 SQL 서버에서 사용할 수 있는 대용량의 저장소를 확보하기 위한 방법을 제안한다. 실험을 통해 아마존 EC2 윈도우즈 환경에서 아마존 EBS 볼륨을 사용하는 하나의 인스턴스가 사용할 수 있는 최대 저장 용량을 초과하는 대용량 저장 공간을 확보할 수 있으며, SQL Server를 운영하는 아마존 클라우드 환경에서 디스크 용량 및 성능을 증가시켜 전체적인 SQL Server의 성능을 향상시킬 수 있음을 확인하였다.