• Journal of the Korea Institute of Military Science and Technology
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• v.8 no.4 s.23
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• pp.77-84
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• 2005

In this research, usability testing techniques had been applied to currently operating Military Logistics System software, and the effects of improvements made were verified. Furthermore, this research aims to assist the army to execute their researches on usability testing in the future. Various usability testing techniques and guidelines presented in this paper will be easily adapted to the research environment of the army. Consequently, the results of this research would play an important role in future development and evaluation of the Military Logistics System software.

• Journal of the military operations research society of Korea
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• v.22 no.1
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• pp.67-80
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• 1996

Artificial Intelligence(AI) techniques and Object-Oriented(OO) techniques contribute to the simulation modeling of the complex systems. AI techniques are suitable to model human reasoning in the simulation. While OO techniques have advantages of re-usability, maintainability and extendability of the software. Thus, in this paper, we design a knowledge-based object-oriented simulation model, particularly for the logistics analysis of military armor vehicles. The simulation model consists of three modules i.e., scenario, simulation mechanism, and inference engine. The model is designed within the OO paradigm and implemented by using the C++ language. An example case of using the model for the logistic analysis is included.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.43 no.1
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• pp.34-41
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• 2020

There has not been any scientific analysis on appropriate size of workforce and salary for civilian workers in military so far. Thus, this paper conducted analysis on propriety in employment size of military doctrine researchers using system dynamic methodology based on annual military doctrine workload. Vensim software was mainly used to measure complement of the research group based on data from job analysis. Secondly, a multiple regression analysis was performed to study an appropriate wage for researchers based on their expertise and working condition. The data from twenty public research institutions and twenty eight job positions that are performing similar duty with military doctrine researchers was obtained and utilized to create a salary-estimation regression equation in the analysis. Finally, with cost-benefit analysis method this paper studied financial effectiveness of hiring military doctrine researchers. Contingent valuation method, which has been recognized as one of the most effective methodologies in cost-benefit analysis on intangible value, was utilized to measure benefit of hiring the researchers. The methodology presented in this paper can be applied to measure and improve the efficiency of military organization not only in military doctrine research area but also in several military functional area (military training, logistics, administration, combat development, and combat support).

• Proceedings of the Korean Society of Computer Information Conference
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• 2016.07a
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• pp.89-90
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• 2016

본 논문에서는 라디오와 텔레비전을 대상으로 이루어진 전파납치 사건이 오늘날 사물인터넷 시대에서 가지는 의미를 연구한다. 인터넷에 연결되는 사물이 다양해지고 활용 분야가 넓어질수록 사물에 가해지는 네트워크에 의한 공격에서 기기의 안전성과 신뢰성을 보장하기 어렵다. 인터넷이 연결되는 사물일지라도 해당 사물이 이전부터 인터넷과는 다른 통신 기능을 가지고 있는 경우 기존의 통신 규격을 그대로 계승받는다. 이전의 통신 방식은 일반 라디오 및 텔레비전의 통신과 유사한 방법이 많아 전파교란 및 납치의 영향을 받을 수 있다. 이러한 위협에 대응하기 위해 전파납치 사례를 분석하고 사물의 제어에 영향을 미칠 가능성을 연구하여 대응한다.

• Journal of the Korea Safety Management & Science
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• v.8 no.5
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• pp.167-180
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• 2006

This study expands limitation of OASIS(Optimal Allocation of Spares for Initial Supports) program, which calculates CSP(Concurrent Spare Part), not only availability but also cost, and developed the program enabling run in WINDOW OS. By considering multi-step repair and logistics support system, repairing capability at the time of deployment, and procurement period, this model is the first local model reflecting circumstances of the armed forces of the Republic of Korea. Furthermore, the programmed model was selected as the military standard software and has being essentially used for CSP calculation.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.40 no.4
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• pp.253-259
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• 2017

Recent development in science and technology has modernized the weapon system of ROKN (Republic Of Korea Navy). Although the cost of purchasing, operating and maintaining the cutting-edge weapon systems has been increased significantly, the national defense expenditure is under a tight budget constraint. In order to maintain the availability of ships with low cost, we need accurate demand forecasts for spare parts. We attempted to find consumption pattern using data mining techniques. First we gathered a large amount of component consumption data through the DELIIS (Defense Logistics Intergrated Information System). Through data collection, we obtained 42 variables such as annual consumption quantity, ASL selection quantity, order-relase ratio. The objective variable is the quantity of spare parts purchased in f-year and MSE (Mean squared error) is used as the predictive power measure. To construct an optimal demand forecasting model, regression tree model, randomforest model, neural network model, and linear regression model were used as data mining techniques. The open software R was used for model construction. The results show that randomforest model is the best value of MSE. The important variables utilized in all models are consumption quantity, ASL selection quantity and order-release rate. The data related to the demand forecast of spare parts in the DELIIS was collected and the demand for the spare parts was estimated by using the data mining technique. Our approach shows improved performance in demand forecasting with higher accuracy then previous work. Also data mining can be used to identify variables that are related to demand forecasting.