This paper deals with a vehicle routing problem with resource repositioning (VRPRR) which is a variation of well-known vehicle routing problem with pickup and delivery (VRPPD). VRPRR in which static repositioning of public bikes is a representative case, can be defined as a multi-objective optimization problem aiming at minimizing both transportation cost and the amount of unmet demand. To obtain Pareto sets for the problem, famous multi-objective optimization algorithms such as Strength Pareto Evolutionary Algorithm 2 (SPEA2) can be applied. In addition, a linear combination of two objective functions with weights can be exploited to generate Pareto sets. By varying weight values in the combined single objective function, a set of solutions is created. Experiments accomplished with a standard benchmark problem sets show that Variable Neighborhood Search (VNS) applied to solve a number of single objective function outperforms SPEA2. All generated solutions from SPEA2 are completely dominated by a set of VNS solutions. It seems that local optimization technique inherent in VNS makes it possible to generate near optimal solutions for the single objective function. Also, it shows that trade-off between the number of solutions in Pareto set and the computation time should be considered to obtain good solutions effectively in case of linearly combined single objective function.

It is highly challenging to measure the efficiency of electric vehicle charging stations (EVCSs) because factors affecting operational characteristics of EVCSs are time-varying in practice. For the efficiency measurement, environmental factors around the EVCSs can be considered because such factors affect charging behaviors of electric vehicle drivers, resulting in variations of accessibility and attractiveness for the EVCSs. Considering dynamics of the factors, this paper examines the technical efficiency of 622 electric vehicle charging stations in Seoul using data envelopment analysis (DEA). The DEA is formulated as a multi-period output-oriented constant return to scale model. Five inputs including floating population, number of nearby EVCSs, average distance of nearby EVCSs, traffic volume and traffic congestion are considered and the charging frequency of EVCSs is used as the output. The result of efficiency measurement shows that not many EVCSs has most of charging demand at certain periods of time, while the others are facing with anemic charging demand. Tobit regression analyses show that the traffic congestion negatively affects the efficiency of EVCSs, while the traffic volume and the number of nearby EVCSs are positive factors improving the efficiency around EVCSs. We draw some notable characteristics of efficient EVCSs by comparing means of the inputs related to the groups classified by K-means clustering algorithm. This analysis presents that efficient EVCSs can be generally characterized with the high number of nearby EVCSs and low level of the traffic congestion.

Recently, remote sensing technology as a nondestructive method has been utilized to detectthe quantity and quality of crops using unmanned aerial system. To predict vegetation growth(leaf dry mass and nitrogen content) of soybean, two vegetation index(NDVI and Green NDVI)were calculated from images acquired by multi-spectral camera mounted on a UAV and eachprediction models between vegetation growth and index were evaluated. As a result, there wasno significant difference between vegetation growth and index when each vegetation stage foreach yellow and black bean were compared to each other. However, there was significantdifference between vegetation growth and index when all vegetation stage for each yellow andblack bean were compared to each other. Moreover, there was significant difference betweenvegetation growth and NDVI(r= 0.799 for leaf dry mass, r= 0.796 for nitrogen content), andGreen NDVI(r= 0.860 for leaf dry mass, r= 0.845 for nitrogen content) for all vegetation stageswith all soybeans. The accuracy and precision of Green NDVI model(R2= 0.740 for leaf drymass, R2= 0.714 for nitrogen content) were better than those of NDVI model regardless ofvarieties and vegetation growth. Therefore, Green NDVI has considerable potential to detect thequantity and quality of soybeans.

In this paper, the forward and inverse kinematics equations for demolition fire vehicle with 6-DOF were developed. This was done through the development of an interface that allows co-simulation using MATHEMATICA and ADAMS. The implementation of this project was done entirely in MATHEMATICA by calculating the kinematics equations to demonstrate the usefulness of this product. The forward and inverse kinematics of the demolition fire vehicle represents the position and orientation of the end-effector as any desired location. This research was particularly conducted using the simulator, and it showed good approximation results in terms of solving a reaching task problem.

An efficient heuristic for two-vehicle-one-depot problems is developed in this research. Vehicle moving speeds are various along hour based time intervals due to traffic jams of rush hours. Two different heuristics are examined. One is that the delivery area assignment is made using Sweep algorithm for two vehicles by splitting the whole area in half to equally divide all delivery points. The other is using common area by leaving unassigned area between the assigned for two vehicles. The common area is reassigned by two stages to balance the completion time of two vehicle's delivery. The heuristic with common area performed better than the other due to various vehicle moving speeds and traffic jams.

In this paper, a commercial multibody dynamics program ADAMS was utilized to investigate the model for the multi-joint boom conflicts. In this process, CATIA, ANSYS and ADAMS were used to develop the simulation. The addition of ADAMS made the system more accurate and improved precision of the system. In brief, the 3D CAD model of the structure was initially developed via CATIA. After this, the CATIA models were exported to ANSYS for creating flexible-body modeling by using formatted file. Subsequently, with ADAMS, the flexible body model was directly imported from ANSYS which performed the analyses of the dynamic collision of the nozzle boom conflicts. This contained the information regarding geometry and model shapes of the flexible body. Using ADAMS/Durability, it was possible to determine the strain energy for the nozzle configuration by crashing the contact structure that was created. Via this procedure, the acquired simulation analysis of nozzle showed interestingly good results with respect to the objectives of the study

A sweep-based heuristic using common area is developed for multi-vehicle VRPs under time various and unsymmetric forward and backward vehicle moving speed. One depot and 2 delivery vehicle are assumed in this research to make the problem solving strategy simple. A common area is held to make adjustment of possible unbalance of between two vehicle delivery completion times. The 4 time zone heuristic is used to solve for efficient delivery route for each vehicle. The current size of common area needs to be studied for better results, but the suggested problem solving procedures can be expanded for any number of vehicles.

The growing logistics strategy of a company is to optimize their vehicle route scheduling in their supply chain system. It is very important to analyze for continuous pickups and delivery vehicle scheduling. This paper is a computational study to investigate the effectiveness of continuous pickups and delivery vehicle routing problems. These scheduling problems have 3 subproblems; Inbound Vehicle Routing Problem with Makespan and Pickup, Line-haul Network Problem, and Outbound Vehicle Routing Problem with Delivery. In this paper, we propose 5 heuristic Algorithms; Selecting Routing Node, Routing Scheduling, Determining Vehicle Type with Number and Quantity, and Modification Selecting Routing Node. We apply these Algorithms to S vehicle company. The results of computational experiments demonstrate that proposed methods perform well and have better solutions than other methods considering the basic time and due-date.

In this paper, our aim is to develop a simulation model for Multi-joint demolition water vehicle. 3D model of vehicle is developed with CATIA. The rigid simulation model is built in ADAMS and the flexible simulation models are developed using ADAMS and ANSYS. The combination of the both ADAMS and ANSYS can improve the precision of system simulation. The rigid model with rigid multi-slide booms and rigid refracting booms, the hybrid model with flexible multi-slide booms and rigid refracting booms, and a flexible model with flexible multi-slide booms and flexible refracting booms are considered. The simulation analysis shows a good performance, and valuable results we are interested in are obtained.

본 연구에서는 콘크리트 포장에 덧씌우기를 하였을 때 다축차륜하중에 의한 응력분포특성을 분석하기 위하여 변환영역에서의 해석법을 개발하였다. 덧씌우기는 기존의 슬래브와 완전히 부착이 되었을 경우와 전혀 부착이 되지 않았을 때의 두 가지 극한 조건을 기준으로 분석을 하였다. 차륜하중은 복륜단축, 복륜복축, 복륜삼축 등 복륜다축하중을 고려하였으며 덧씌우기의 두께, 탄성계수, 포아송비 등이 응력분포에 미치는 영향을 분석하였다. 변환영역에서의 해석법을 이용하여 덧씌우기 포장을 분석하는 방법에 대하여 상세히 설명하였으며 해석결과의 정확성은 유한요소법을 이용한 해석결과와 비교하여 검증하였다. 해석을 수행한 결과 덧씌우기의 두께, 탄성계수, 포아송비의 증가는 기존 슬래브 하부의 최대인장응력을 감소시키며 감소 정도는 부착 덧씌우기가 비부착 덧씌우기에 비해 더 큰 것을 알 수 있었다. 또한 덧씌우기의 포아송비가 응력에 미치는 영향은 그리 크지 않은 것을 알 수 있었으며 부착과 비부착 덧씌우기 포장에서 덧씌우기의 두께 및 탄성계수의 증가에 따른 기존슬래브의 최대응력 감소특성도 분석하였다. 그리고 하중의 축수에 따른 부착과 비부착 덧씌우기 포장의 응력분포 및 최대응력특성도 분석하였다.

콘크리트 포장은 모서리(Edge) 부분에 차량 하중이 작용할 때 큰 응력을 받게 되며 이러한 응력은 포장의 거동 및 장기 공용성에 영향을 미친다. 따라서 본 연구는 콘크리트 포장의 유한요소 모델을 사용하여 콘크리트 포장의 모서리 부분에 복륜 단축, 복륜 복축, 복륜 삼축 등 복륜 다축 하중의 한쪽 차륜이 접하여 작용할 때 포장의 응력 분포와 최대 응력을 분석하기 위하여 수행되었다. 우선 종방향과 횡방향을 따라 응력의 분포 형태를 분석하였고, 콘크리트 슬래브의 두께, 콘크리트 탄성계수, 지반 탄성계수 등이 응력 분포에 미치는 영향을 분석하였다. 또한 하중 접지면적과 연관된 하중 접지압의 변화에 따른 콘크리트 포장의 응력 분포도 분석하였다. 그리고 콘크리트 포장에서 최대 응력이 어느 위치에서 발생하는지에 대한 연구도 수행하였다. 연구 결과 모서리부 하중에 의한 콘크리트 포장의 최대 응력은 콘크리트의 탄성계수가 증가할수록, 슬래브의 두께가 감소할수록, 그리고 지반 탄성계수가 감소할수록 증가하였다. 하중 접지압의 변화에 따른 최대 응력은 콘크리트 탄성계수와 지반 탄성계수의 크기에 따라서는 거의 일정한 변화를 보였으나 슬래브 두께는 얇아질수록 접지압에 따른 최대 응력의 변화가 뚜렷이 보였다. 최대 응력이 생기는 횡방향의 위치는 콘크리트 탄성계수와 지반 탄성계수에는 무관하게 일정하다. 하지만 슬래브의 두께는 두꺼워질수록 최대 응력의 횡방향 상 위치가 모서리에서 내부로 이동한다. 종방향의 최대 응력이 생기는 위치는 단축과 복축 하중일 경우는 축의 위치이며, 삼축 하중일 경우에는 콘크리트 탄성계수나 슬래브 두께가 증가하던지 또는 지반 탄성계수가 감소하면 최대 응력이 생기는 종방향 상 위치가 양쪽 바깥축에서 중간축의 위치로 바뀌게 된다.

본 연구의 목적은 컨테이너터미널에서 사용되는 다기능 이송차량을 위한 2단계 배차전략을 제시하는 것이다. 2단계 배차는 실시간 위치 제어를 사용하여 이송차량과 크레인간의 대기시간을 절감시키기 위한 방법이다. 배차 1단계는 실시간 위치정보를 바탕으로 목적지 위치를 할당하는 것이며, 기존의 실시간 배차에서 이용되는 방식에 모니터링을 보안한 것이다. 배차 2단계는 이송차량의 싣기, 놓기, 집기 등의 기능을 작업장소의 작업상황에 따라 선택하여 작업지시를 내리는 것이다. 다기능 이송차량의 2단계 배차전략은 하역시스템의 대기시간을 감소시켜 생산성 향상에 기여할 것이다.