• Journal of Forest and Environmental Science
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• 제27권3호
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• pp.205-210
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• 2011

This study aims to assess MEE(management effectiveness evaluations) on PAs(protected areas) for forest genetic resources which play an important role in biodiversity conservation, and then to suggest better ways to manage PAs for forest genetic resources. This study applies same indicators of the MEE on PAs as the ones described in the prior study(Ryu et al. 2011). The indicators applied are composed of five elements, thirty-two indicators which all would be grouped into one element by each traits. Overall indicators belonging to the element of output and outcome are comparatively low. Especially the ones related to the change of biodiversity, degree of ecosystem health, variation of civil complaint and visitor satisfaction are ranked mostly low. The element of input shows the low rank on the number of staff and budget. The score of indicators related to the identification of the threats of PAs and local communities' supports turn out to be low in the element of Context. The element of process, however, has scored low on Staff management, Education/Awareness programs and Governance, while the law enforcement, management regulation and capacity to prevent forest disasters have made relatively high score. Meanwhile, all indicators in the element of planning have scored relatively high as compared to the indicators belonged to other elements. This study suggests to strengthen a few constructive proposals, such as facilitating efficient management framework for PAs, developing local community cooperation program, establishing survey, research and monitoring system, and registering PAs to the WDPA(World Database on Protected Areas) according to the IUCN categories.

• 한국병원경영학회지
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• 제12권4호
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• pp.119-142
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• 2007

Although Korea joined OECD in 1996, there has still seen much unbalance in medical care and welfare standard between urban and rural area. The unbalance of medical demand between urban and rural area deepened low utilization of rural hospitals. So it caused many hospital's failure and conversion in rural area. Many rural hospitals are in difficulty managing business because of low medical demand along with the shortage of medical manpower, medical equipment and facilities. The objectives of this study were to reveal the cause of low utilization of hospitals in rural area, and to increase utilization of those hospitals. In this study the improvement methods of rural hospital's utilization were presented by examining were placed in difficult management condition, in respect of hospital's management conditions, manpower input, patient medical treatment record, financial record, and actual output. The causes of rural hospital's low utilization were as follows; 1) changes in number and structure of population 2) rural people's preference for large hospitals and hospitals which located in urban area 3) rural hospitals lacking in hospital management skill. Consequently rural hospital's operation condition got more and more deteriorated. To raise rural hospital's utilization, method for social policy, method for health policy, and intrinsic method of hospitals were presented in turn. For rural residents to utilize medical service conveniently, it is necessary for rural hospitals operated normally. So government must insist that rural hospitals solve the problems which come out from their internal management problems. And also these rural hospitals should be supported and nurtured by the government until their management is operated normally.

• 방사성폐기물학회지
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• 제12권4호
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• pp.345-361
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• 2014

처분시설의 개발과정에서 안전성평가 문서관리는 체계적인 품질활동이 수반되어야 하며, 본 논문에서는 중 저준위 방사성폐기물 처분시설의 건설단계에 보완된 부지특성, 지하수특성, 최종설계내용 및 모니터링 입력데이터를 포함하여 Safety Case를 위한 안전성평가 입력데이터 품질보증체계를 설명하였다. 현장/실험결과데이터, 실제 설계데이터 및 적치계획, 콘크리트 물성데이터, 지하수, 기상, 지진에 대한 현장 모니터링데이터, 생태계데이터 및 핵종재고량데이터를 입력데이터 결정원칙에 따라 선별하고 안전성평가에 적용할 수 있는 데이터 관리체계를 확보하였다. 이는 향후 처분시설 안전성평가의 데이터 불확실성 저감 및 안전성 증진에 기여할 것으로 판단된다.

• Smart Structures and Systems
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• 제15권3호
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• pp.609-625
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• 2015

Management of infrastructure stock is essential in sustainability of society, and its analysis and optimization are studied in the light of control system modeling in this paper. At the first part of the paper, cost of stock management is analyzed based on macroscopic statistics on infrastructure stock and economical growth. Stock management burden relative to economy is observed to become larger at low economic growth periods in developed economies. Then, control system modeling of stock management is introduced and by augmenting maintenance actions as control input, dynamic behavior of stock is simulated and compared with existing time history statistics. Assuming steady state conditions, applicability of the model to cross sectional data is also demonstrated. The proposed model is enhanced so that both preventive and corrective maintenance can be included as system inputs, i.e., feedforward and feedback control inputs. Optimal management strategy to achieve specified deteriorated stock level with minimal cost, expressed in terms of preventive and corrective maintenance actions, is derived based on estimated parameter values for corrosion of steel bridges. Relative cost effectiveness of preventive maintenance is shown when target deteriorated stock level is lower.

• 동아시아식생활학회지
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• 제20권5호
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• pp.823-835
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• 2010

The research aimed to measure the efficiency of using multi stores in a foodservice company using by DEA (data envelopment analysis) which is a new management science technique. The study also attempted to identify relevant variables affecting DEA efficiency in order to suggest methods for improving efficiency. The data were collected from 148 contract foodservice operations, which were operated in similar fashion in October 2009. The DEA efficiency was calculated as an output-oriented BCC Model. Sales, and CSI (customer satisfaction index) were used as output variables whereas food cost, labor cost, and management expense were used as input variables to calculate the DEA efficiency. Operation process variables of the unit consisted of the were consist of ratio of regular employee, ratio of housekeeper, meal counts, meal price, food cost per meal, contract period, number of menu items, forecasting accuracy, order accuracy, inventory turnover, use of processed food, deviation of food cost, number of new menus, and number of events. According to the BCC score and profitability, units were classified into four groups: High efficiency-high profitability (HEHP), High efficiency-low profitability (HELP), Low efficiency-high profitability (LEHP), and Low efficiency-low profitability (LELP). The HEHP group contained 54 units, which mostly contracted management fee type and had a high meal price. The units were also very large and, served three meals. Twenty of the units were operated with high labor cost: most of these were factories and hospitals. The LEHP group contained 20 units, that were mainly office stores of large scale and medium price. Fifty-four LELP group had a low meal price. A high performance group must have high efficiency, profitability, and satisfaction. The BCC score was over 0.969, the meal price was over 4,116 won, the food cost was over 2,077 won, and meal counts per month were over 10,212 meals.

• 한국경영과학회지
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• 제40권1호
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• pp.75-89
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• 2015

In recent years, attention to the high debt ratio in public institutions has pushed the government to make efforts in reducing the debt ratio. However, in order to stimulate the economy, the government needs drastically innovative measures that reduce debt by improving efficiency rather than moderate approaches that focus solely on debt reduction. Despite this need, no study has yet systematically analyzed the overall efficiency of domestic public institutions and identified the source of inefficiencies in each public entity. Therefore, largely two research questions are examined. First, this study compares the efficiency levels by types of public institutions. Second, this study identifies the cause of inefficiencies in each public institution and proposes directions for improving efficiency. Based on a 5-year data of 302 public institutions published in public business information systems and organizational websites from 2009 to 2013, Data Envelopment Analysis (DEA) was performed. The input variables include the number of employees and total costs while the output variables include sales and net income. Reflecting the characteristics of public institutions, the input-oriented CCR model and input-oriented BCC model were utilized. Analysis results are as follows. First, market-oriented public institutions showed the highest efficiency while fund management quasi-governmental agencies showed the highest inefficiency. Second, scale efficiency score was measured by applying the CCR model and the BCC model on the organizations with the lowest efficiency level, fund management quasi-governmental agencies. Based on these analysis results, the source of inefficiency and detailed directions for improvement were proposed for Decision Making Units (DMUs) with low CCR and BCC scores.

• 대한안전경영과학회지
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• 제3권2호
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• pp.73-89
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• 2001

Safety management cost, US$ one thousand billion has been input to the construction area from 1995 to 2000 but the management quality is still in the developing country level. The above mentioned increase of accident rate are attributed to the generous code regulation, net fit to the sense, varying with time change, but the more fundamental reason of this is no practical construction safety management system, up to now. Hardware-orienting operation for the system could be a main reason of this problem. In this paper, we developed a model for efficent construction safety system. It was found from the case study that the model result in high efficient with low cost.

• 농업과학연구
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• 제45권4호
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• pp.871-878
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• 2018

The government of Gyeongbuk in Korea increased the financial input in the agricultural sector by 43% from 2008 through 2012. However, the productivity of the agricultural sector in Gyeongbuk rose only about 3.6% during the same period. This study evaluated the agricultural competitiveness of each city or county in Gyeongbuk using six evaluation indices (scale, productivity, finance input, location quotient, technical education, and total) and investigated the relationship between the indices and total values of agricultural productions. The results show that Sangju, Gyeongju, Andong, Uiseong, and Seongju have high competitiveness for the scale index. For the productivity index, Gimcheon, Mungyeong, Ulleung, Yeongju, and Seongju were highly evaluated. For the location quotient index, Yeongcheon, Uiseong, Cheongdo, Seongju, and Sangju have high competitiveness. Uiseong, Yeongdeok, Cheongsong, Gunwi, and Yeongyang were highly evaluated for the agricultural finance input index. For the agricultural technical education index, Chilgok, Sangju, Mungyeong, Uiseong, and Gyeongju have high competitiveness. Finally, Sangju, Euiseong, Yeongcheon, Gyeongju, and Andong were highly evaluated for the total competitive index, while Yeongdeok, Yeongyang, Goryeong, Uljin, and Cheongsong have a low competitiveness for the total competitive index. This study also found that out of five indices, scale, location quotient, and technical education indices have a positive and statistically significant effect on the total values of agricultural production. However, we did not find any statistically significant effect of the productivity and finance input indices on the total values of agricultural production. Hence, we can conclude that the government should focus their agricultural policy on scale, location quotient and education to improve total agricultural production.

• 한국산업융합학회 논문집
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• 제25권6_3호
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• pp.1285-1291
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• 2022

In this paper, we propose a low-cost, low-power embedded environment-based deep learning lightweight model for input images to recognize laundry management codes. Laundry franchise companies mainly use barcode recognition-based systems to record laundry consignee information and laundry information for laundry collection management. Conventional laundry collection management systems using barcodes require barcode printing costs, and due to barcode damage and contamination, it is necessary to improve the cost of reprinting the barcode book in its entirety of 1 billion won annually. It is also difficult to do. Recognition performance is improved by applying the VGG model with 7 layers, which is a reduced-transformation of the VGGNet model for number recognition. As a result of the numerical recognition experiment of service parts drawings, the proposed method obtained a significantly improved result over the conventional method with an F1-Score of 0.95.

• Nuclear Engineering and Technology
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• 제26권1호
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• pp.78-89
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• 1994

콘크리트 구조물과 점토성 되메움재로 구성된 중저준위 방사성폐기물처분장 인공방벽으로 부터의 핵종유출률이 평가되었다. 네 종류의 유출경로가 고려되었으며, 각 유출경로가 방사성핵종의 총유출률에 미치는 영향이 분석되었다. 입력변수 간의 불확실도가 핵종유출률 분석에 미치는 영향을 정량화하기 위해 Latin Hypercube 표본추출 방법이 이용되었으며, 그 결과 얻어진 유출률 분포는 적합도검증을 통하여 결정되었다. 마지막으로 최대유출률의 범위가 통계적방법에 의해 95% 신뢰도수준으로 추정되었다.