• 터널과지하공간
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• 제18권1호
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• pp.20-32
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• 2008

정면적법을 이용하여 연구지역의 사면 안정성 분석을 하였으며, 이 방법은 선조사 방법이나 면적조사법을 이용하는 것보다 빠르게 유추할 수 있는 방법이다. 연구지역은 충북 보은군 창리 일대에 속해 있는 옥천누층군의 지층으로 구성되어 있으며 연구지역을 포함하여 천매암으로 구성된 지층에서 여러 종류의 사면 파괴 유형이 발생했음을 관찰하였다. 이러한 변성퇴적암의 물리적 특성은 광물입자가 극세립질의 석영과 견운모로 구성되었으며 층리(또는 편리) 구조와 파랑벽개구조를 따라 층리에 평행하게 배열되어 암석의 공학적 특성에 영향을 끼치는 것으로 분석되었다. 연구지역 내 3개 지점을 선정하여 각각 사면의 특성을 대표할 수 있는 $1m{\times}1m$ 사면을 2 또는 3 개소를 선택하여 사면 안정성분석을 시도하였다. 분석결과 정면적법을 이용한 사면의 안정성분석에서 3개 연구지점 모두에서 전도파괴와 쐐기파괴의 가능성이 매우 높은 것으로 분석되었으며 또한 연구지점 2의 경우 평면파괴의 가능성은 미약한 것으로 분석되었으나 실제 현장의 노두에서는 평면파괴가 발생한 곳이 다수 관찰되었다. 변성퇴적암에서는 화성암과는 다른 불연속면 구조인 층리(또는 편리)와 벽개구조가 함께 존재하기 때문에 사면 안정성 분석에서 절리구조와 더불어 반드시 고려해야 할 중요한 요소이다.

• 지질공학
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• 제19권2호
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• pp.119-129
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• 2009

사면의 안정성 분석과 관련하여 지질학적 특성과 지질공학적 특성을 각각 정면적법과 선조사법을 사용하여 선정된 세 사면에 대하여 비교 분석하였다. 분석한 사면의 파괴유형의 결과와 실제 노두 사면에서 발생한 파괴양상과 비교하여 사면 안정성 분석의 방법상 어떤 방법이 더 잘 적용될 수 있는 지 판단한다. 불연속면의 방향성, 확률밀도분포와 간격, 경사방향과 빈도수 및 연장성과 빈도수에 관하여 비교분석한 결과, 각 사면마다 대체로 서로 유사하게 분석되었다. 하지만 방향성 분석에서 사면 2에서는 서로 상이한 결과를 얻었으며, 이는 사면 2에 분포하는 절리군의 방향성은 절리의 길이와 빈도수에서 서로 다르며 선조사법을 이용하여 측정하였을 때 서로 다른 방향성을 보여주는 새로운 절리군의 출현을 의미한다. 절리의 확률밀도분포와 간격은 사면 3에서 높게 나타나며, 이는 사면 3을 구성하는 사질의 암석과 소습곡구조의 발달과 관련이 있는 것으로 사료된다. 선정된 세 사면의 안정성분석에서 정면적법과 선조사법의 비교 분석결과와 그리고 실제노두에서 발생한 사면파괴 양상과의 결과를 비교하였을 때 정면적법이 연구지역의 절취사면의 안정성 분석에서 더 세밀한 파괴유형을 예측할 수 있었으며 선조사법보다 더 유효한 방법으로 분석되었다.

• 제어로봇시스템학회논문지
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• 제19권6호
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• pp.563-568
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• 2013

The purpose of this study is to find the analytic solution for determining the optimal capacity (lot-size) of a batch-storage network to meet the finished product demand under infrequent shutdowns. Batch processes are bound to experience random but infrequent operating time losses. Two common remedies for these failures are duplicating another process or increasing the process and storage capacity, both of which are very costly in modern manufacturing systems. An optimization model minimizing the total cost composed of setup and inventory holding costs as well as the capital costs of constructing processes and storage units is pursued with the framework of a batch-storage network of which flows are susceptible to infrequent shutdowns. The superstructure of the plant consists of a network of serially and/or parallel interlinked batch processes and storage units. The processes transform a set of feedstock materials into another set of products with constant conversion factors.A novel production and inventory analysis method, the PSW (Periodic Square Wave) model, is applied. The advantage of the PSW model stems from the fact it provides a set of simple analytic solutions in spite of a realistic description of the material flow between processes and storage units. The resulting simple analytic solution can greatly enhance a proper and quick investment decision at the early plant design stagewhen confronted with diverse economic situations.

• 제어로봇시스템학회논문지
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• 제16권3호
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• pp.305-312
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• 2010

The aim of this study is to find an analytic solution to the problem of determining the optimal capacity of a batch-storage network to meet demand for finished products in a system undergoing joint random variations of operating time and batch material loss. The superstructure of the plant considered here consists of a network of serially and/or parallel interlinked batch processes and storage units. The production processes transform a set of feedstock materials into another set of products with constant conversion factors. The final product demand flow is susceptible to joint random variations in the cycle time and batch size. The production processes have also joint random variations in cycle time and product quantity. The spoiled materials are treated through regeneration or waste disposal processes. The objective function of the optimization is minimizing the total cost, which is composed of setup and inventory holding costs as well as the capital costs of constructing processes and storage units. A novel production and inventory analysis the PSW (Periodic Square Wave) model, provides a judicious graphical method to find the upper and lower bounds of random flows. The advantage of this model is that it provides a set of simple analytic solutions while also maintaining a realistic description of the random material flows between processes and storage units; as a consequence of these analytic solutions, the computation burden is significantly reduced. The proposed method has the potential to rapidly provide very useful data on which to base investment decisions during the early plant design stage. It should be of particular use when these decisions must be made in a highly uncertain business environment.

• 제어로봇시스템학회논문지
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• 제4권6호
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• pp.802-810
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• 1998

The purpose of this study is to find the analytic solution of determining the optimal capacity of processes and storages to meet the product demand. Recent trend to reduce product delivery time and to provide high quality product to customer requires the increasing capacity of storage facilities. However, the cost of constructing and operating storage facilities is becoming substantial because of increasing land value, environmental and safety concern. Therefore, reasonable decision making about the capacity of processes and storages is important subject for industries. The industrial solution for this subject is to use the classical economic lot sizing method, EOQ(Economic Order Quantity) model, trimmed with practical experience but the unrealistic assumption of EOQ model is not suitable for the chemical plant design with highly interlinked processes and storages. This study, a first systematic attempt for this subject, clearly overcomes the limitation of classical lot sizing method. The superstructure of the plant consists of the network of serially and/or parallelly interlinked processes and storages. A novel production and inventory analysis method, PSW(Periodic Square Wave) model, is applied. The objective function of optimization is minimizing the total cost composed of setup and inventory holding cost. The advantage of PSW model comes from the fact that the model provide a set of simple analytic solution in spite of realistic description of material flow between process and storage. The resulting simple analytic solution can greatly enhance the proper and quick investment decision for the preliminary plant design confronting diverse economic situation.

• Journal of the Korean Data and Information Science Society
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• 제24권4호
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• pp.825-833
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• 2013

온실가스 인벤토리 불확도 산정을 위해서는 인벤토리의 신뢰구간 추정이 필수적이다. 일반적으로 모수에 대한 신뢰구간 추정시에는 모집단이 정규분포를 따른다고 가정한다. 그러나 자료의 구조가 복잡해짐에 따라 정규분포가 아닌 비대칭형 자료, 즉 양의 왜도를 갖는 자료의 경우 기존의 정규분포를 가정한 신뢰구간 추정 방식은 적합하지 않다. 본 연구에서는 비대칭형 분포인 지수분포의 신뢰구간추정 방법으로 모수적인 방법과 비모수적인 방법에 대해 각각 비교분석하였다. 모의실험을 통한 신뢰구간 추정 결과를 바탕으로 범위확률, 신뢰구간 길이, 상대적 편의를 비교한 결과 모수적 방법 중에서 예상했던 대로 정확한 방법인 카이제곱방법이 신뢰계수와 유사한 범위확률을 보이고 상대적 편의도 작아 모수적 방법 중에서 신뢰구간 추정에 가장 적합한 것으로 나타났다. 마찬가지로 비모수적 방법 중에서는 표준화된 t-붓스트랩 방법이 가장 적합한 것으로 나타났다.

• 제어로봇시스템학회논문지
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• 제7권10호
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• pp.867-873
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• 2001

The purpose of this study is to find analytic solution of determining the optimal capacity (lot-size) of multiproduct acyclic multistage production and inventory system to meet the finished product demand under the constraint of finite intermediate storage. Intermediate storage is a practical way to mitigate the material flow imbalance through the line of supply and demand chain. However, the cost of constructing and operating storage facilities is becoming substantial because of increasing land value, environmental and safety concern. Therefore, reasonable decision-making about the capacity of processes and storage units is an important subject for industries. The industrial solution for this subject is to use the classical economic lot sizing method, EOQ/EPQ(Economic Order Quantity/Economic Production Quantity) model, incorporated with practical experience. But EOQ/EPQ model is not suitable for the chemical plant design with highly interlinked processes and storage units because it is developed based on single product and single stage. This study overcomes the limitation of the classical lot sizing method. The superstructure of the plant consists of the network of serially and/or parallelly interlinked non-continuous processes and storage units. The processes transform a set of feedstock materials into another set of products with constant conversion factors. A novel production and inventory analysis method, PSW(Periodic Square Wave) model, is applied to describe the detail material flows among equipments. The objective function of this study is minimizing the total cost composed of setup and inventory holding cost. The advantage of PSW model comes from the fact that the model provides a set of simple analytic solutions in spite of realistic description of the material flows between processes and storage units. the resulting simple analytic solution can greatly enhance the proper and quick investment decision for the preliminary plant design problem confronted with economic situation.

• 대한가정학회지
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• 제38권8호
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• pp.1-11
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• 2000

The purpose of the study was to investigate the relationship among management strategic type, QR system adoption and the usage level of technologies. Also the current situation about the management strategies for the Korean apparel manufacturers was examined in this study. A random sample of 102 apparel manufacturers was selected for the data collection. A survey method was used with the structured questionnaire, and for the data analysis, chi-square test, ANOVA and Duncan's multiple range tests were used. The resets were as following: 1. The most identified strategic type among Korean apparel manufacturers was analyzer and the defender. 2. The most frequently used technologies were small lot orders and the reduction in the inventory level, and the least used technologies were the electronic order system and UPS. 3. The management strategic type was significantly related to the adoption and the usage level of technologies.

• 원예과학기술지
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• 제28권6호
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• pp.1066-1071
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• 2010

자기보고식 설문평가와 컴퓨터 기반 심박변이도(Heart rate variability, HRV) 분석평가를 통해 원예치료가 우울증 환자의 정서개선에 미치는 효과를 알아보았다. 자기보고식 설문 평가는 정신적 스트레스, 신체적 스트레스, 불안, 우울 등 4가지 평가도구를 사용하였다. HRV 분석평가는 standard deviation of the N-N intervals(SDNN), square root of mean squared difference of successive N-N intervals(RMSSD), total power(TP), low-frequency/high-frequency ratio(LF/HF ratio)의 4개 분석지표를 이용하였다. 동일한 병원 소속 우울증 환자 30명을 대상으로 실험을 수행하였다. 이 가운데 실험군 15명을 대상으로 주 1회씩 12회 원예치료 프로그램을 실시하였고, 대조군에는 실시하지 않았다. 그 결과, 원예치료를 실시 한 실험군의 경우 자기보고식 설문평가는 물론 HRV 분석평가에서도 원예치료 후 우울 정서 개선 효과가 확인되었다. 특히 자기보고식 평가에서는 정신적 스트레스, 불안, 우울 척도에서 통계적으로도 유의한 효과가 나타났으며($p$<0.001), HRV 분석평가의 경우 TP 지표에서 통계적 유의성이 확인되었다($p$<0.05). SDNN, RMSSD, LF/HF ratio 지표 역시 눈에 띄게 호전되었으나 통계적 유의성은 없었다. 비록 HRV의 모든 분석지표들이 통계적 유의성을 나타내지는 않았지만, 이 연구를 통해 HRV 측정으로 원예치료 효과를 객관화된 수치로 제시할 수 있는 가능성을 확인하였다. 또한 주관적 평가와 객관적 평가를 도입한 본 실험 결과 원예치료가 우울증 환자의 심리적, 신체적 재활에 효과적임이 입증되었다.

• 유통과학연구
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• 제20권12호
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• pp.13-22
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• 2022

Purpose: The paper contributes to the existing literature on Vietnamese corporate governance and firm performance with a focus on listed family firms and the use of a more suitable econometric framework to analyze firm performance. The study investigates how family firm performance is affected by corporate governance under the standpoint of stewardship theory in Vietnam. Research design, data and methodology: With the use of different measures for firm performance (Tobin's Q, ROA, and ROE), regression models were estimated using Generalized Least Square (GLS) method on a panel data of a total of 113 listed companies during the five-year period from 2015 to 2019. Results: We found that family ownership as the main characteristic of the stewardship theory affects family firms positively. In addition, several other characteristics in corporate governance as board composition (board independence, board audits, and board committees), CEO (age and tenure) and firm characteristics (size, age, expansion, and annual sales) showed significant impacts on firm performance. Our findings also suggest that family firm performance can be either positively or negatively affected based on the characteristics of corporate governance. The findings can help companies evaluate the significance of corporate governance through deciding board structure and the selection of CEOs to match family firm characteristics. It also gives insights for investors, rating agencies, and policymakers for relevant purposes.