• 한국산학기술학회논문지
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• 제15권10호
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• pp.6004-6013
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• 2014

다각화 분야 내에서 자원공유의 사안을 다루는 연구들은 경영자원의 '공유'에 주목하였고, '경영자원'에 대한 관심은 부족하였다. 이에 따라 본 연구는 자원기반관점의 핵심적인 변수들과 논리들을 토대로 자원공유의 결정요인과 성과함의에 대해 접근하였다. 본 연구는 우리나라 35개 기업집단의 계열사 263개를 대상으로 실시된 설문조사를 토대로 경영자원의 양적 수준, 질적 수준, 활용성이 계열사 간 자원공유에 미치는 영향에 대한 가설을 수립하고 다중회귀분석을 통해 검증하였으며, 성과함의와 관련하여 경영자원의 양적 수준과 자원공유, 경영자원의 질적 수준과 자원공유, 경영자원의 활용성과 자원공유의 상호작용이 계열사의 성과에 미치는 영향에 대한 가설을 수립하고 상호작용항이 포함된 다중회귀분석을 통해 검증하였다. 가설검증 결과, 경영자원의 양적 수준이 낮을수록, 질적 수준이 높을수록, 활용성이 높을수록 자원공유의 정도는 증가하는 것으로 나타났으며, 경영자원의 양적 수준이 낮을수록, 활용성이 높을수록 계열사 간 자원공유가 성과에 미치는 긍정적인 영향이 증가하는 것으로 확인되었다. 하지만 경영자원의 질적 수준은 자원공유와 성과의 관계에 영향을 미치지 않았다. 본 연구는 경영자원의 질적 수준 및 활용성이 가설과는 상반된 방향으로 자원공유에 영향을 미치는 이유, 경영자원의 질적 수준이 자원공유에는 긍정적으로 작용하지만 성과향상으로 이어지지 않은 이유, 경영자원의 유형에 따라 가설검증의 결과가 달라지는지의 여부 등을 충분히 다루지 못했는데, 향후 연구에서는 이에 대한 보다 심화된 논의가 필요할 것으로 생각된다.

• 한국정보과학회논문지:컴퓨팅의 실제 및 레터
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• 제12권5호
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• pp.275-285
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• 2006

본 논문에서는 그리드 컴퓨팅의 기존 자원 거래망 모델들의 문제점을 분석하고, 해결하기 위한 새로운 자원 거래 모델을 제안한다. 이 모델은 사용자와 자원 공급자 사이의 거래 가격을 예측하고 합리적인 거래 가격을 제시한다. 합리적인 가격 제안을 통해, 사용자와 자원 공급자 사이의 더 많은 자원 거래를 발생시키고, 사용자는 더 짧은 시간에 자원을 공급받게 된다. 본 논문에서 사용자의 자원 요구량 예측 정확도를 향상시키기 위하여 통계학의 예측 모델을 도입하였고 합리적인 가격 제안을 위해 미시 경제학의 가격 결정 이론을 도입하였다. 본 모델의 성능 평가를 위하여 사용자의 자원 요구량 예측 정확도, 자원 거래를 위한 응답시간, 자원 거래 횟수 그리고 사용자의 자원 활용률을 측정하였다. 실험의 결과로는 자원 예측 정확도는 87.45%의 신뢰성 있는 결과를 얻었고, 기존 모델들에 비해 응답시간은 72.39% 단축 되었다. 또한, 자원 거래 횟수는 162.56% 증가 하였다. 본 논문에서 제안하는 모델의 평균 자원 활용률은 90%에 근접했으며 기존 모델들과 비교해서는 230%이상 자원 활용률이 증가 하였다.

• 한국환경과학회:학술대회논문집
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• 한국환경과학회 2020년도 정기학술대회 발표논문집
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• pp.190-190
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• 2020

• 가족자원경영과 정책
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• 제13권4호
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• pp.39-52
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• 2009

The purpose of this research is to introduce a new method for teaching family resource management using classroom experiments. Classroom experiments are very attractive in the sense that students are placed directly into the various environments being studied, and they enhance the effectiveness of the Socratic Method, as opposed to traditional lectures. The family resource management approach focuses on the resource allocation behavior of families in the utilization of their human and non-human resources to achieve goals. Therefore, there are many family resource decision situations to which classroom experiments may be fruitfully applied. Within this context, this research provides useful implications for applying managerial concepts of family resource management behavior in practical situations. The study results might be used to analyze an interactive framework that facilitates discussions of classroom experiments, family resource management behavior and human ecology.

• 한국컴퓨터정보학회논문지
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• 제23권4호
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• pp.107-114
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• 2018

Recently, various wearable personal devices such as a smart watch have been developed and these personal devices are being miniaturized. The user desires to receive new services from personal devices as well as services that have been received from personal computers, anytime and anywhere. However, miniaturization of devices involves constraints on resources such as limited input and output and insufficient power. In order to solve these resource constraints, this paper proposes a resource collaboration system which provides a service by composing sharable resources in the resource sharing environment like IoT. the paper also propose a method to infer and recommend user-customized resources among various sharable resources. For this purpose, the paper defines an ontology for resource inference. This paper also classifies users behavior types based on a user model and then uses them for resource recommendation. The paper implements the proposed method as a prototype system on a personal device with limited resources developed for resource collaboration and shows the effectiveness of the proposed method by evaluating user satisfaction.

• 산업경영시스템학회지
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• 제43권2호
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• pp.79-86
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• 2020

To make a satisfactory decision regarding project scheduling, a trade-off between the resource-related cost and project duration must be considered. A beneficial method for decision makers is to provide a number of alternative schedules of diverse project duration with minimum resource cost. In view of optimization, the alternative schedules are Pareto sets under multi-objective of project duration and resource cost. Assuming that resource cost is closely related to resource leveling, a heuristic algorithm for resource capacity reduction (HRCR) is developed in this study in order to generate the Pareto sets efficiently. The heuristic is based on the fact that resource leveling can be improved by systematically reducing the resource capacity. Once the reduced resource capacity is given, a schedule with minimum project duration can be obtained by solving a resource-constrained project scheduling problem. In HRCR, VNS (Variable Neighborhood Search) is implemented to solve the resource-constrained project scheduling problem. Extensive experiments to evaluate the HRCR performance are accomplished with standard benchmarking data sets, PSPLIB. Considering 5 resource leveling objective functions, it is shown that HRCR outperforms well-known multi-objective optimization algorithm, SPEA2 (Strength Pareto Evolutionary Algorithm-2), in generating dominant Pareto sets. The number of approximate Pareto optimal also can be extended by modifying weight parameter to reduce resource capacity in HRCR.

• 대한생식의학회:학술대회논문집
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• 대한불임학회 1999년도 제38차 추계 학술대회
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• pp.71.2-72
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• 1999

• 대한생식의학회:학술대회논문집
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• 대한불임학회 1999년도 제38차 추계 학술대회
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• pp.72-73
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• 1999

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제5권10호
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• pp.1712-1732
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• 2011

Cloud provides dynamically scalable virtualized computing resources as a service over the Internet. To achieve higher resource utilization over virtualization technology, an optimized strategy that deploys virtual machines on physical machines is needed. That is, the total number of active physical host nodes should be dynamically changed to correspond to their resource usage rate, thereby maintaining optimum utilization of physical machines. In this paper, we propose a pattern-based prediction model for resource provisioning which facilitates best possible resource preparation by analyzing the resource utilization and deriving resource usage patterns. The focus of our work is on predicting future resource requests by optimized dynamic resource management strategy that is applied to a virtualized data center in a Cloud computing environment. To this end, we build a prediction model that is based on user request patterns and make a prediction of system behavior for the near future. As a result, this model can save time for predicting the needed resource amount and reduce the possibility of resource overuse. In addition, we studied the performance of our proposed model comparing with conventional resource provisioning models under various Cloud execution conditions. The experimental results showed that our pattern-based prediction model gives significant benefits over conventional models.

• 한국건축시공학회지
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• 제4권1호
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• pp.105-110
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• 2004

Resource procurement is an important management area because cost of resource covers 40％ of total construction project cost and resource delivery has direct relationship with project performance. Integration of cost provides various potentials for effective and efficient project control. This study investigates the usefulness of time in resource procurement management focused on materials. These days, construction projects have characterized manufacture because of industrialization and component. Therefore, application of systematic resource planning has been requested in the construction. There are many companies conducting procurement of resource on the web by applying MRP, ERP etc. in the construction. However, in applying them in the construction yet, there is obstruction. MRP has the character doing its function under accurate cost prediction of resource. But prediction of resource is difficult in industry mechanism of the construction. If accurate cost prediction of resource is possible in the construction, it will be expected to reduce cost of procurement of resource substantially by applying successful resource planning model in the manufacture. On the basis of recent current, the purpose of study is to present procurement of resource system that period observance of construction and minimization of stock is possible by reflecting accurate lead-time to apply proactive thought to be able to cope with alteration of construction schedule efficiently in analyzing resource planning of the construction site.