There is a demand for introducing a challenging and innovative R&D system to develop new technologies to generate weapon system requirements. Despite the increasing trend in annual core technology development tasks, the infrastructure expansion, including personnel in research management institutions, is relatively insufficient. This situation continuously exposes difficulties in task planning, selection, execution, and management. Therefore, there is a pressing need for strategies to initiate timely research and development and enhance budget execution efficiency through the streamlining of task agreement schedules. In this study, we propose a strategic model utilizing a flexible workforce model, considering constraints and optimizing workload distribution through resource allocation to minimize bottlenecks for efficient task agreement schedules. Comparative analysis with the existing operational environment confirms that the proposed model can handle an average of 67 more core technology development tasks within the agreement period compared to the baseline. In addition, the risk management analysis, which considered the probabilistic uncertainty of the fluctuating number of core technology research and development projects, confirmed that up to 115 core technology development can be contracted within the year under risk avoidance.

Information System (IS) Success Model proposed by DeLone and McLean is applied as a successful operation tool of information system, with its basic assumption of symmetric relationship between independent variables and dependent variables of the structural equation modeling. However, because previous studies have proved asymmetry of quality factors' influence structure on dependent variable by applying three-factor analysis, this study examined asymmetry of impact structure of quality factors introduced in IS Success Model on user satisfaction. Also the study applies structure equation modeling (SEM), threefactor analysis and importance and performance analysis (IPA) to develop resource allocation strategy for IS success. The study is able to provide IS practitioners with strategic implications for allocating and managing limited resources more effectively.

Priority rules or sequencing heuristics conventionally used to determine resource allocation is to maximize the earned value on time and cost. This study provides a effective strategy-oriented approach for the program resource management problem with limi

  This paper proposes a real-time resource allocation algorithm for minimizing the completion time of overall workflow process. The jobs in a workflow process are interrelated through the precedence graph including Sequence, AND, OR and Loop control struc

This study is for decision making on distribution of resources so as to improve the effectiveness of initial disaster relief efforts. It is very important that relief efforts should be accomplished appropriately at the initial disaster. Furthermore, efficient allocation of relief resources such as rescuer, shelter, relief goods, relief funds, medical and relief equipments is also the first step to achieve main objective of relief efforts when disaster occurs. For this purpose, this study establishes flood as a imaginery disaster and develops a model for efficient distribution of resources when flood outbreaks. This model fixes initial 72 hours, which is subdivided into three intervals, as a initial disaster range. The model is to set a prioity against alloction of relief resources by each time zone which is related to damaged degree( Red Tag, Yellow Tag, Green Tag). Experts in this field input their experience into this model, and these are analyzed by Analytic Hierachy Process(AHP)/Expert Choice(EC) software. Therefore, we can decide a prioity against distribution of resources by each time zone which is in accordance with damaged degree. The result of this study would be helpful to a person who is in charge of relief from calamity in order him to make a decision toward distribution of resources.

This system is made up of two main elements, recovery scenarios and resource allocation. The recovery scenarios provides the system with an optimized restoration process through wide analysis based on various data related with six main infrastructure facilities(dam, slope, bank, and etc) damage around waterside. The best recovery resource could be inferred from the resource allocation module based on the result of recovery evaluation. So, this disaster recovery decision support system offers the appropriate information from both main factors to administrator handling or controlling emergency catastrophe situations.

1993-98년 동안 농촌진흥청의 벼직파재배 연구현황과 연구자원 배분의 경제적 합리성에 관한 연구결과는 다음과 같다. 1. 벼직파기술분야별 연구는 과거에는 기초연구부문에 집중되었으나 최근에는 직접 농민들의 현장애로를 타개하기 위한 파종, 입모, 잡초방제, 물관리 등 기능적 문제점을 해결하기 위한 연구투자가 확대되었다. 2. 직파재배의 초기에는 파종과 품종육성 부문에 연구투자가 크게 이루어졌으나 최근에는 그 비중이 줄어들고 시비개선, 잡초 방제, 물관리 부문에 대한 연구자원 배분이 늘어나고 있다. 3. 토양관리와 입모에 관한 연구비중은 줄어들고 있어 농민들의 이 부문에 대한 현장 애로는 크게 감소된 것으로 나타났다. 4. 벼직파재배에 대한 연구의 경제적 성과와 연구자원 배분은 기술분야별 일치성이 커서 합리적인 연구자원 배분이 이루어지고 있다.