연구는 내항여객선의 상가 주기를 조정함으로써 연료비를 포함한 운항비용의 절감 가능성을 분석하는 데 목적이 있다. 선박의 연료 효율에 영향을 미치는 요소 중 하나인 선체부착생물은 선박과 해수 간 마찰을 증가시켜 더 많은 연료 소모를 유발하는 것으로 알려 져있다. 선박안전법에 따라 감항성 유지 및 운항 안전을 위해 매년 정기검사 또는 제1종 중간검사를 받아야 하는 내항여객선은 일반적으 로 이러한 검사에 대비하여 연 1회의 상가 수리를 통해 선체부착생물을 제거한다. 이에 본 연구에서는 실제 운항 중인 3척의 내항여객선 을 대상으로 AIS 데이터, 항해일지 및 상가 수리 비용 등의 자료를 수집하고, 연간 표준운항비용을 산정하였다. 이를 바탕으로 MATLAB 기반의 시뮬레이션을 통해 각 선박의 상가 주기별 운항 비용 산출하여 비용 절감 효과를 분석하였다. 분석 결과, 선박별로 최대 비용 절 감 효과가 나타나는 시점이 상이하였으나, 연료비 절감과 추가 상가 비용 간의 균형점이 존재함을 확인하였다. 본 연구는 내항여객선의 선체 유지관리에 있어 상가 주기 조정이라는 운영 전략을 정량적으로 분석하였으며, 선사의 유지보수 계획 수립에 실질적인 근거를 제공 한다는 점에서 실무적 의의가 있다.

This study examined impact of agricultural cooperative membership on technical efficiency, income, and costs of coffee farmers in Southern Shan State, Myanmar. Using stochastic frontier analysis (SFA) and propensity score matching (PSM) methods, this study estimated average treatment effect on the treated of agricultural cooperative participation. Results showed that technical efficiency, total income, and total variable costs were significantly higher for cooperative members than for comparable non-members. However, net income of members is not significantly different from that of comparable non-members.

구스 아스팔트(Guss Asphalt) 혼합물은 다짐 없이 시공이 가능한 포장재료로, 1970년대부터 강바닥판 교량에 활용되어 왔다. 본 연구 는 박스 구스 아스팔트 혼합물 공용수명 예측 및 생애주기 비용을 비교분석하기 위해 폴리머 개질 구스, TLA 및 SMA 세 가지 혼합 물의 반사균열 시험, 동탄성계수 시험 및 소성변형시험을 수행하였다. 또한, TxACOL 프로그램을 사용하여 공용수명을 예측하였으며, 예측 결과를 기반으로 각 포장의 생애주기 비용을 분석하였다. 본 연구의 목적은 혼합물의 성능평가를 통해 폴리머 개질 구스 아스팔 트 혼합물의 공용수명을 예측하고 생애주기 비용을 분석하는 것이다. 성능평가 시험결과 폴리머 개질 구스 아스팔트 혼합물이 TLA 구스, SMA 아스팔트 혼합물보다 반사균열, 피로균열 및 소성변형 저항성이 높은 것으로 나타났다. 포장설계 수명 예측 및 생애주기 비용분석결과 폴리머 개질 구스를 사용한 포장설계의 공용성이 가장 우수하며 가장 경제적인 것으로 나타났다.

목적 : 본 연구의 목적은 전동휠체어 사용자의 경험에 근거하여 정량적, 정성적 질문으로 구성된 설문조사를 통해 전동휠 체어가 사용자에게 서비스되기까지 발생하는 비용과 가치를 사회적 관점에서 도출하고 전동휠체어 경제성 평가를 위한 근거를 제시하는 것이다. 연구방법 : 2024년 3월부터 2024년 5월까지 서울과 원주시에 거주하는 63명의 장애인을 조사하였으며, 전동휠체어를 사 용하지 않거나, 동력보조장치를 사용하고 있는 조사대상자(n=5)를 제외하고, 전동휠체어를 구매하여 지역사회에서 사용하 고 있는 척수손상(n=12), 소아마비(n=11), 근육(n=19) 그리고 뇌병변 장애인(n=16) 총 58명의 응답을 분석하였다. 조사지 는 선행 연구를 근거하여 네 개 영역, 17개 대표 문항과 22개의 세부 문항으로 재구성하였으며, 조사 시 욕창의 단계, 전동휠체어 시트 옵션 그리고 건강의 개념을 설명하기 위해 시각 자료가 활용되었다. 결과 : 본 연구에 참여한 조사대상자의 정량적, 정성적 응답은 각각 분석하여 전동휠체어 구매 현황과 사용 만족도, 사용 경험 그리고 사회적 가치와 비용으로써 정리되었다. 조사대상자들은 전동휠체어를 사용하는데 전반적으로 만족하였지만, 구매 비용 부담으로 인한 아쉬운 구매를 하고 있었다. 전동휠체어 사용 이후 활동의 변화는 다양하였으며, 이는 '작업'의 변화라고 할 수 있다. 전동휠체어 사용으로 인한 '작업', 도움의 감소, 정서적인 가치와 수리, 교육 및 훈련, 외출 비용 등이 사회적 관점에서 고려되었다. 결론 : 본 연구에서는 사회적인 관점에서 전동휠체어의 비용과 가치를 조사하였다. 조사대상자가 사용하는 전동휠체어 유 형에 따라 가치 차이가 있었으며. 향후 전문가 논의를 통해 다양한 가치를 산출하고, 경제성 평가에 반영하려는 노력이 필요하다.

Using porous asphalt in order to reduce traffic noise and increase road safety specially in rainy weather is become a time demand now a days. Traditional dense asphalt can not provide a well mannered drain systems, adequate road capacity and noise friendly environment, which can make harm to roadway, property and ultimately to the life. In contrast, porous asphalt provides a environment friendly, cost effective, high skid resistive and well drains pavement with great durability. Additionally, the ability of porous to decrease the number of crashes both in sunny and wet-weather are up to the mark. In this context, investigate the ability of porous asphalt allows for deeper insights into all the mentioned factors, which help to make a durable, time demandable, more safer pavements in the field of pavement engineering. By combining some lab tests, field tests and analyzing the data, this research offers more accurate and reliable results to lead a pavement situation adaptable.

PURPOSES : This study is aimed to economic analysis of the ferronickel slag pavement method carried out to suggest the necessity of developing ferronickel slag pavement technology. METHODS : A life cycle cost analysis of the application of the Ferronickel Slag pavement method and the cutting + overlay pavement method was performed to compare the economic indicators and greenhouse gas emissions for each pavement method. RESULTS : As a result of the analysis, regardless of the Ferronickel Slag mixing rate, if the common performance of the Ferronickel Slag pavement method is the same or superior to the existing pavement method, it is more economical than the existing pavement method. Furthermore, the lower the maintenance cost of the Ferronickel Slag pavement method, the higher the economic feasibility due to the high Ferronickel Slag mixing rate. Greenhouse gas emissions can be reduced from at least 9% to up to 53% through the application of the Ferronickel Slag pavement method, except for some scenario analysis results. CONCLUSIONS : This study provided that the Ferronickel Slag pavement method was superior to the existing pavement method in terms of economic and environmental aspects. Therefore, it was found that the objective justification of developing road pavement technology using Ferronickel Slag was secured.

PURPOSES : Construction cost estimates are important information for business feasibility analysis in the planning stage of road construction projects. The quality of current construction cost estimates are highly dependent on the expert's personal experience and skills to estimate the arithmetic average construction cost based on past cases, which makes construction cost estimates subjective and unreliable. An objective approach in construction cost estimation shall be developed with the use of machine learning. In this study, past cases of road projects were analyzed and a machine learning model was developed to produce a more accurate and time-efficient construction cost estimate in teh planning stage. METHODS : After conducting case analysis of 100 road construction, a database was constructed including the road construction's details, drawings, and completion reports. To improve the construction cost estimation, Mallow's Cp. BIC, Adjusted R methodology was applied to find the optimal variables. Consequently, a plannigs-stage road construction cost estimation model was developed by applying multiple regression analysis, regression tree, case-based inference model, and artificial neural network (ANN, DNN). RESULTS : The construction cost estimation model showed excellent prediction performance despite an insufficient amount of learning data. Ten cases were randomly selected from the data base and each developed machine learning model was applied to the selected cases to calculate for the error rate, which should be less than 30% to be considered as acceptable according to American Estimating Association. As a result of the analysis, the error rates of all developed machine learning models were found to be acceptable with values rangine from 17.3% to 26.0%. Among the developed models, the ANN model yielded the least error rate. CONCLUSIONS : The results of this study can help raise awareness of the importance of building a systematic database in the construction industry, which is disadvantageous in machine learning and artificial intelligence development. In addition, it is believed that it can provide basic data for research to determine the feasibility of construction projects that require a large budget, such as road projects.

The Korean military has sought to build an all-round military force against the national and international security environment and future asymmetric threats as well as the military threats it faces. However, while raising the need for timely electrification, there are few cases of quantitatively evaluating the loss when electrification is delayed, making it difficult for our military to provide a logical basis to support the importance of the electrification period. Therefore, through this study, we tried to analyze the index of loss cost that can support the need for timely electrification with logical and quantitative data and present it as a logical basis. To this end, the loss cost was calculated in terms of combat efficiency, equipment utilization rate, and maintenance requirements, which can be quantitatively calculated based on “combat readiness,” a general impact on the military in case of delayed timely electrification.

In supply chain, most partners except the top level suppliers have inbound and outbound logistics. For example, toll manufacturing companies get unprocessed materials from a requesting company and send the processed materials back to the company after toll processing. Accordingly, those companies have inbound and outbound transportation costs in their total logistics costs. For many cases, the company may make the schedule of distributions by considering only the due delivery dates. However, the inbound and outbound transportation costs could significantly affect the total logistics costs. Thus, this paper considers the inbound and outbound transportation costs to find the optimal distribution plans. In addition, we have considered the inventory holding costs as well with transportation costs. From the experimental results, we have provided the optimal strategies for the distributions of replenishment as well as deliveries.

In this paper, an alternative inventory policy that trades off the bullwhip effect at an upstream facility with cost minimization at a current facility, with the goal of reducing system wide total expected inventory costs, when external demand distributjon is autocorrelated, is considered. The alternative inventory policy has a form that is somewhere between one that completely neglects the autocorrleation and one that actively utilizes the autocorrelation. For this purpose, a mathematical model that allows us to evaluate system wide total expected inventory costs for a periodic review system is developed. This model enables us to identify an optimal inventory policy at a current facility that minimizes system wide total expected inventory costs by the best tradeoff of the bullwhip effect at an upstream facility with cost minimization at a current facility. From numerical experiments, it has been found that (i) when the autocorrelation is negative, the optimal policy is one that actively utilizes the autocorrelation, (ii) when the autocorrelation is small and positive, the optimal policy is one that neglects the autocorrelation, and (iii) when the autocorrelation is large and positive, the optimal policy is somewhere between one that actively utilizes the autocorrelation and one that neglect the autocorrelation.

청중비용이론은 국제관계학에서 가장 첨예한 논쟁의 대상이 되어 왔 다. 이 이론에서 도출된 여러 가설은 연구 방법에 따라 확증이 되기도 하고 때로는 반증이 되기도 했다. 그 결과, 청중비용이론의 경험적 유용 성에 대한 찬반 논쟁이 현재까지 지속되고 있다. 본 연구는 이러한 논쟁 을 일정부분 해소하기 위해 청중비용이론의 경쟁 가설 모두에 가장 부합 해야 하는 사례(most likely case)를 선택하여 과정추적(process tracing) 검증을 시도한다. 이를 위해 우리는 양적 연구자의 가설이 지지(반증)되 면 질적 연구자의 가설이 반증(지지)되는 방식으로 연구를 설계했다. 검 증 대상 가설은 ‘약속이행의 의지’와 관련된 두 가지 경쟁 가설과 ‘국내 정치적 처벌’과 관련된 두 가지 경쟁 가설이다. 검증을 위해 선택된 사례 는 제2차 북일 정상회담이다. 분석 결과는 혼재되어 있다. 약속이행의 의지와 관련해서는 양적 연구자의 가설이 지지되고, 국내정치적 처벌과 관련해서는 질적 연구자의 가설이 지지된다. 이 두 가지 가설을 종합할 경우, 최선을 다하는 지도자의 모습을 인지한 청중은 절반의 성공 또는 절반의 실패에 대해서 관대하다는 결론이 도출된다. 이러한 발견은 민주 국가 지도자에게 희소식일 수 있다.

This study attempted to analyze the comparative advantage in terms of disaster safety costs in verifying the effectiveness and economic feasibility of the high-performance water-bulwark system in the pole tunnel, which was recently promoted as a part of the acceleration of vehicles. The tunnel to be analyzed was divided into a short tunnel(Anyang, Cheonggye) and a long tunnel(Suraksan, Sapaesan). As a result, it was analyzed that 25% of the improvement effect would occur if one lane was secured by applying the Water-Bulwark System. It was analyzed that this is because the time value cost, which accounts for a large proportion of the traffic congestion cost of short tunnels and pole tunnels, differs depending on the congestion time and traffic volume, not the length of the tunnel.

This study aims to analyze the cost of climate change damages to laver and sea mustard aquaculture, which are considered to be highly vulnerable to climate change in Korea. For this purpose, the correlation between aquaculture production and climate factors such as water temperature, salinity, air temperature, and precipitation was estimated using a panel regression model. The SSP scenario was applied to predict the changes in production and damage costs due to changes in future climate factors. As a result of the analysis, laver production is predicted to decrease by 18.0-27.2% in 2050 and 20.6-61.6% in 2100, and damage costs are predicted to increase from 29.7-50.8 billion KRW in 2050 to 35.7-116.1 billion KRW in 2100. Sea mustard production is projected to decrease by 24.5-37.2% in 2050 and 24.0-34.5% in 2100, with similar damage costs of 41.1-61.8 billion KRW and 41.1-58.6 billion KRW, respectively. These damage costs are expected to occur in the short term as damage caused by fishery disasters such as high temperatures, and in the long term as a decrease in production due to changes in aquaculture sites. Therefore, measures such as strengthening the forecasting system to prevent high-temperature damage, developing high-temperature-resistant varieties, and relocating fishing grounds in response to changes in aquaculture sites will be necessary.