This paper proposes statistically designed experiments which provide a proactive means to implement safety and environmental applications. Minimal experimental designs such as fractional factorial design, Plackett-Burman design, Box-Behnken design are economical and can be achieved tremendous savings with relatively few experiments. These experimental designs and analysis methods are illustrated with cases.

Changes in manufacturing system are those that occur during production and cause the systems to behave unpredictably. So scheduling problem in this dynamic industrial environments is very complex. The main concept of this dissertation is to continuously m

개발이 허용된 지역이라도 개발로 인해 발생되는 기존의 환경파괴에 대해 외국의 경우 보상계획을 통한 개발 계획을 수립하는 것이 보통이다. 그러나 국내의 경우 개발지역내의 환경계획은 주로 개발용도에 따른 법적 테두리안에서 녹지면적을 채우는 것으로 일관하고 있다. 따라서 본 연구에서는 대학 프로젝트의 한 사례를 중심으로 대상지의 환경을 Hemeroby등급을 이용하여 평가하고 파괴에 따른 보상계획을 제시하였다. 대상지는 수원시 권선구 금곡동에 계획된 대단위 아파트단지 개발지구이다. 우선적으로 개발전의 대상지를 Hemeroby등급으로 평가한 후 아파트단지 개발안, 즉 LG빌리지안을 Hemeroby등급으로 비교평가하여 LG빌리지안에서 보상되지 않은 기존 환경 파괴에 따른 보상안을 양적인 측면에서 산출하였다. 산출근거는 개발전의 대상지는 β-/α-euhemeroby가 전체의 80.1%였는데 LG개발안은 β-/α-euhemeroby가 43.7%로 낮아지면서 meta-hemeroby가 개발전 17%에서 56.3%로 증가하였으므로 보상안은 LG개발안의 건축물을 수용하되, β-/α-euhemeroby비율을 올릴 수 있는 보상계획, 즉 하천복원, 지상주차장의 녹화, 옥상녹화 및 절토면의 녹화 등을 제안하였다.

This paper develops a new heuristic, the Excursion Algorithm(EA), for constructing optimal designs for the experiments related with marine environment. The proposed EA consists of three parts: 1) construction of an initial feasible solution, 2) excursions over a bounded region, and 3) stopping rules. It is the second part that distinguishes the EA from the other existing heuristic methods. It turns out that excursions over a bounded feasible and/or infeasible region is effective in alleviating the risks of being trapped at a local optimum. Since this problem is formulated for the first time thesis, other heuristic algorithms do not exist. Therefore, global optimal solutions are obtained by complete enumeration for some cases, and the performance of the EA is evaluated in terms of solution quality. Computational results show that the proposed EA is effective in finding good(or, in many cases, global) solutions to the constrained optimal experimental design problems.

Due to changes such as those stemming from the onset of the fourth industrial revolution, it is expected that industrial complexes will transform from being spacious structures into smaller, integrated complexes. Green parks, which are also a type of infrastructure within industrial complexes, also require planned direction suited to the changing environment. The planned directions of green parks in new industrial complexes were examined and surveys were conducted on industrial complex workers. Preferred functional arrangement, importance, and satisfaction levels of green ratios, preference of compound facilities linked to parks, appropriate dimensional greening methods were all surveyed across 1,035 businesses. Results of the survey exhibited that there was high awareness on the importance of building green areas, but it was found that current greenery levels were insufficient. There was a high rate of responses indicated that dimensional greening is required in building-type industrial spaces, and preferences for rooftop greenery, stair-type greenery, and atrium greenery were also high. There were many opinions that it is necessary to integrate cultural facilities, exhibition and educational facilities, commercial facilities, parking lots in parks. Furthermore, it was found that it is necessary to provide pathways for bikes and pedestrians, rather than those for vehicles, and to connect them with the green parks. This study stopped short of exploring the directions for which green parks should aim in new industrial complexes with changes in the industrial environment. In the future, more concrete plans on green park planning techniques according to the spatial characteristics and structures of new industrial complexes will be necessary.

This study aimed to analyze the prioritized area for the functional change of agricultural reservoir according to the rapid urbanization and social changes through the mapping method. Changwon-si, Gimhae-si,(콤마삽입) and Jinju-si in Gyeongnam province were selected as the study area, considering the results of land-use and cluster analysis. As the planning unit of management area, watershed was used and land coverage map from 1975 to 2015 were analyzed for changes of land use. The reduction ratio (%) of farmland was calculated for identifying the changes in 2013 compared to 1975. As a result, the reduction ratio was 11.9% for Changwon-si, 12.2% for Gimhae-si and 9.3% for Jinju-si, and the number of watershed having functionally reduced potential-area was relatively high in the proportion to the city size.

Object manipulation in cluttered environments remains an open hard problem. In cluttered environments, grasping objects often fails for various reasons. This paper proposes a novel task and motion planning scheme to grasp objects obstructed by other objects in cluttered environments. Task and motion planning (TAMP) aims to generate a sequence of task-level actions where its feasibility is verified in the motion space. The proposed scheme contains an open-loop consisting of three distinct phases: 1) Generation of a task-level skeleton plan with pose references, 2) Instantiation of pose references by motion-level search, and 3) Re-planning task based on the updated state description. By conducting experiments with simulated robots, we show the high efficiency of our scheme.

Most of eco-friendly agrifood processing enterprises in Korean rural area are small and medium-sized business. For this reason, it’s hard for eco-friendly agrifood processing enterprises to neither analyze business performance for efficient business management nor establish their own business plan for rational decision-making. Therefore it’s necessary to design effective mathematical programming model and to make practical application which can support rational management decisionmaking ensuring the stable business activity of eco-friendly agrifood processing enterprises. Accordingly this paper focuses on the designing and its application of multi-objective mathematical programming model using goal programming to support rational decision-making of eco-friendly agrifood processing enterprise. Hansalimanseongmachum Food Inc. which runs soy bean processing business making tofu based on regional-based soybean farms around Anseong City will be the specific case to apply multi-objective mathematical programming model in practice. And it will suggest measures to support rational management decisionmaking of other eco-friendly agrifood processing enterprises.

In this study, the environmental consciousness of Daegu citizen on conservation planning considering the regional characteristics was investigated. Data were collected throughout a survey and 1400 people were selected using a stratified sampling method based on populations of Daegu administration district. Results wee followings; First, the levels of environmental consciousness were different dependent on districts’ characteristics. Second, poor awareness on Daegu Agenda 21 (Clear and Green Daegu 21) were shown. Daegu Agenda 21 is the action plan for the sustainable environmental conservation activities of the City of Daegu. Third, waste was the most serious environmental problems of Daegu , air quality was second worst, and third was river water quality from the survey, but differentiated awareness was shown dependent on regional spatial factors and pollution emission factors. Last, a public environmental education was the most important issue to make invigorations and progress for future environmental policy.

무인 자가 운반 하역차량(Automated Lifting Vehicle, ALV)은 자동화 컨테이너 터미널에서 컨테이너를 수송하는 무인 차량의 하 나로 자가 하역 및 수송 능력을 가지고 있다. 여러 대의 ALV를 이용해 컨테이너를 효율적으로 수송하기 위해서는 ALV가 컨테이너의 이송 작업을 시작할 때마다 최소 시간에 주행이 가능한 경로를 실시간으로 찾을 수 있어야 한다. 또한 차량 간의 충돌 및 교착 상태 발생 시 스스 로 해결이 불가능한 무인 차량의 특성 상 이러한 충돌 및 교착을 막을 수 있도록 차량이 목적지까지 가기 위해 점유해야 하는 점유 영역과 그 점유 시간을 결정하여 이를 겹치지 않도록 주행 계획을 수립하여야 한다. 하지만 주행 계획 수립을 위한 ALV의 점유 영역에서의 점유 시 간 계산은 교통 상황에 따른 주행 시간의 변화나 주행 경로 상에 작업을 수행하는 크레인의 작업 상황의 불확실성 때문에 정확한 추정이 어 렵다. 본 논문에서는 개미 집단 최적화 기법을 기반으로 이러한 ALV 도착 시간의 불확실성을 고려한 ALV 주행 계획 수립방안을 제안한다. 시뮬레이션 실험을 통해 제안 방안이 불확실한 환경에서 효율적으로 좋은 경로를 찾아냄을 확인하였다.

현대의 도시들은 도시를 구성하는 여러 요소들이 복잡하게 얽혀있어 주변 환경 색과의 조화는 염두에 두지 않는 색채의 남용, 오용이 심각한 문제로 대두된다. 그러므로 도시 경관 색채계획이 체계적으로 이루어져 도시 전체가 어우러져 통일된 조화를 보이도록 그 주변의 자연환경과 어울리는 일정한 범위의 색채 내에서 개성 있고 짜임새 있는 색채 연출이 이루어져야 할 것이다. 도시환경 전체의 통일된 느낌을 표현하기 위해서는 커다란 부분을 차지하는 색채를 같은 계열의 색상 또는 같은 계열의 톤으로 통일시킴으로써 전체적으로 편안하고 정리된 느낌을 만들어 낼 수 있으며, 환경시설물이나 건축물 등의 색채를 적절히 조절함으로써 그 지역의 문화적 특성을 살린 의도적인 이미지를 만들어 낼 수 있다. 이러한 도시환경 색채계획을 통해 보다 쾌적한 환경을 조성하고 다른 지역과의 차별성을 강조하여 경쟁력 있는 도시로 발전하는 효과를 기대할 수 있다.