• International Journal of Advanced Culture Technology
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• v.11 no.3
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• pp.83-88
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• 2023

The increasing global average temperature and the emergence of various abnormal climate phenomena are already being experienced in reality. The problems arising from climate change are expanding and becoming catastrophic, despite the efforts of various organizations to prevent them. In order to avoid climate issues from becoming black elephants, we conducted interviews with emergency planning officer from various institutions to identify potential X-events caused by climate change. The results of analyzing the anticipated X-events by these emergency planning officer revealed a chain of ripple effects associated with their occurrence. This implies that once an X-event happens, its influence is broader and more significant. Through this study, we aim to share the understanding of the ripple effects of climate X-events with many people, raising awareness of the severity of climate issues. We hope that this will serve as a starting point for more institutions, individuals, and nations to make efforts in resolving climate problems, turning X-events into opportunities rather than crises.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.17 no.10
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• pp.289-299
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• 2016

Weapon systems require reliability in the development phase for efficient combat readiness. Improved reliability in various manufacturing processes have been achieved using data analysis. However, data analysis in the development phase is difficult due to problems such as the lack of data, high cost, and the importance of security. Therefore, Post Logistics Support (PLS) data collected following integration is analyzed for long-term quality improvement of weapon systems. In this study, we propose a methodology for examining the correlation between the failure rate and PLS data as follows: First, key variables affecting reliability were identified the correlation between variables on the failure rate examined. Second, corresponding analysis was conducted for determining the correlation between patterns of categorical data. Third, extract categories with the higher contribution and quality of representation, and find the highest variable correlated with failure period through visualization. Then, after selecting patterns which have shorter failure period, the cause of decreased reliability was confirmed through frequency analysis. This study will contribute to improving reliability when developing new weapon systems and will help to strengthen the combat readiness of military.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.21 no.3
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• pp.223-229
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• 2020

The current technological advances are changing the way people live. In the history of war in the past, nations or people with an edge in military science and technology have always been the victor. The emergence of new technologies not only alters war patterns drastically but also affects military operational concepts and organizational systems. As the paradigm of the security environment changes, developed countries are investing heavily in defense R & D for their security. Therefore, the importance of professionalism of the defense acquisition personnel who perform their tasks from the exploration and development of weapon systems to mass production, deployment, and logistics support cannot be overemphasized. In the United States, an advanced country in this field, to improve the work efficiency of acquisition personnel in the defense field, the Directive of Ministry of Defense issued a law on education and training career development for personnel in 1990. The present study refers to related materials, such as the Desk Guide for the main education requirements for the US acquisition personnel in the military field, which contributes to the improvement of the workforce of the acquired manpower after the systematic education system.

• Journal of Intelligence and Information Systems
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• v.28 no.4
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• pp.41-59
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• 2022

The timely procurement of military supplies is essential to maintain the military's operational capabilities, and contract work is the first step toward timely procurement. In addition, rapid signing of a contract enables consumers to set a leisurely delivery date and increases the possibility of budget execution, so it is essential to improve the contract process to prevent early execution of the budget and transfer or disuse. Recently, research using big data has been actively conducted in various fields, and process analysis using big data and process mining, an improvement technique, are also widely used in the private sector. However, the analysis of contract work in the military is limited to the level of individual analysis such as identifying the cause of each problem case of budget transfer and disuse contracts using the experience and fragmentary information of the person in charge. In order to improve the contract process, this study analyzed using the process mining technique with data on a total of 560 contract tasks directly contracted by the Department of Finance of the Air Force Logistics Command for about one year from November 2019. Process maps were derived by synthesizing distributed data, and process flow, execution time analysis, bottleneck analysis, and additional detailed analysis were conducted. As a result of the analysis, it was found that review/modification occurred repeatedly after request in a number of contracts. Repeated reviews/modifications have a significant impact on the delay in the number of days to complete the cost calculation, which has also been clearly revealed through bottleneck visualization. Review/modification occurs in more than 60% of the top 5 departments with many contract requests, and it usually occurs in the first half of the year when requests are concentrated, which means that a thorough review is required before requesting contracts from the required departments. In addition, the contract work of the Department of Finance was carried out in accordance with the procedures according to laws and regulations, but it was found that it was necessary to adjust the order of some tasks. This study is the first case of using process mining for the analysis of contract work in the military. Based on this, if further research is conducted to apply process mining to various tasks in the military, it is expected that the efficiency of various tasks can be derived.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.17 no.1
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• pp.274-283
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• 2016

The study of maintenance planning is important in military weapon systems because it can improve their availability and reduce the operational and maintenance cost during the total life cycle. In maintenance planning, it is important to determine the preventive maintenance task and its optimal interval. This paper focuses on the hard time task, which is one of the preventive maintenance tasks. A hard time task removes an item or restorative action before some specified maximum age limit to prevent functional failure. The Monte-Carlo simulation model was proposed to help understand the cost effectiveness of a hard time task. In the simulation, various shape parameters of the Weibull distribution and cost ratio of corrective maintenance to preventive maintenance were assumed. Using a Monte-Carlo simulation, a quantified cost saving effect and optimal preventive maintenance interval were suggested.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2014.05a
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• pp.287-290
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• 2014

The Large-scale Agricultural & Livestock Products consists largely of distribution at The nation's of school and military foods. but false information on the Agricultural & Livestock Products in a safe food supply has become a social issue. The food suppliers deliver food resource in a school-large food establishments such as Change to domestic high-quality Livestock products from low-quality foreign Livestock products, Change to eco-friendly agricultural produce from normal agricultural produce, Change to fresh vegetables from contaminated vegetables. In this paper, e-Discovery system applies to the methods and security of incorrect logistics information and evidential data about illegal products of agriculture & livestock, it is necessary as studies about compensation and liability.

• Convergence Security Journal
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• v.13 no.5
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• pp.67-75
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• 2013

South Korea suggest that the United States government should delay the date to hand over wartime operational control (OPCON). It is fixed on December 1, 2015. Typically the president's position as head of the executive authority is coming from the Commander-in-Chief of the Armed Forces. Now we should know the commander-in-chief of the nation's forces and the meaning of OPCON. The relationship between sovereignty and the commander-in-chief of the nation's forces is a little different. This is one of the efforts to enlarge the efficiency of Armed Forces. Of course, operational control is little control of the sovereign personnel, logistics, administration, discipline, organizing, training, etc. It does not control all matters. The current ROK Combined Forces Command itself is made with reference to the North Atlantic Treaty Organization(NATO). If we insist our own sovereignty is infringed because of OPCON, that claim is coated in irreparable damage to the national interest.

• Journal of the military operations research society of Korea
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• v.37 no.1
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• pp.11-25
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• 2011

This study analyzes the quantitaive effect of 155M artillery ammunition procurement from third party countries in the wartime using simulation. First, we study the concept of ammunition supply, procurement plan, transportation plan in the wartime and logistics support from third party countries. We then study the ammunition support possibility from third party countries. Secondly, we make a basic model on the sea-lift from Korea to U.S in the wartime using simulation followed by making comparative models on the sea-lift from Korea to U.S and third party countries. Finally, we analyze models on the completion date of ammunition transportation and the ammunition amount of each operation step. We then execute the sensitivity analysis on the ammunition amount from third party countries. In cocclusion, ammunition prcurement from third party countreis more supply 10% than basic model.

• 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.

• Convergence Security Journal
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• v.18 no.5_2
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• pp.3-10
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• 2018

The drone is an unmanned aircraft that can be steered and controlled using radio waves on the ground, and the pilot moves unmanned without boarding. The history of the unmanned airplane began with military use, and the first unmanned aerial flight was the first successful flight of the 'Sperry Aerial Torpedo' drones built in the United States in 1917 with a bomb. With the development of unmanned aerial technology, the use of military drones has expanded to a wider field. Recently, the use of drones has been utilized in various fields such as agriculture, industry, logistics, broadcasting, and safety, and the scale of the market is also expanding. Although the drones are becoming indispensable to penetrate our lives, they can be used for bad purposes depending on the intended use of the user, but the risk factors are overlooked. Therefore, technical defects related to drones and accidents caused by operator's mistakes can not be completely prevented. However, privacy infringement, security leakage, and terrorism, which may be caused by illegal use of drones, It will not be inhibited and will accelerate.