This study develops a comprehensive road operation evaluation model that integrates the perspectives of three principal stakeholders: road users prioritizing congestion mitigation, operators emphasizing investment efficiency, and policymakers advocating broader societal goals such as carbon reduction. The analysis database was constructed using traffic data obtained from reliable sources, including the Korea Transport Institute's Big Data Center and Suwon City's Urban Safety Integration Center. Binary logistic regression was employed to identify the factors influencing traffic congestion from the users’ perspective, whereas multiple linear regression models were used to analyze road investment efficiency from the operators’ viewpoint and carbon dioxide emissions from the policymakers’ standpoint. Statistical analyses were conducted on 4,322 road segments in Suwon City, with each evaluation criterion assigned an equal weight of 33.3 points in a unified 100-point scoring system. The analysis identified 15 statistically significant indicators affecting the three evaluation criteria, with the resulting models demonstrating strong explanatory power, evidenced by adjusted R² values of 0.197, 0.593, and 0.544 for traffic congestion, road investment efficiency, and carbon dioxide emission models, respectively. A volume-to-capacity (V/C) ratio of 0.64 was determined to represent the optimal balance point at which the requirements of all stakeholder groups align. When applied to Suwon City's arterial road network, the model identified 248 high-congestion segments (53.13 km), 203 segments with low investment efficiency (26.8 km), and 357 segments with high carbon emissions (156.33 km), each requiring targeted operational improvements. The proposed model addresses the limitations of existing single-stakeholder evaluation frameworks by offering transportation authorities a systematic and multi-dimensional approach to road operation assessment.

This study developed an integrated performance evaluation framework for rural development Official Development Assistance (ODA) projects in Korea and validated its effectiveness through practical application. Based on the FAO’s SAFA (Sustainability Assessment of Food and Agriculture Systems) Tool, the framework enables a balanced assessment across economic, social, environmental, and governance dimensions. The methodology incorporates the Analytic Hierarchy Process (AHP) and Importance-Performance Analysis (IPA) to measure the importance and performance of objectives and indicators. The developed framework serves as a tool for Project Design Matrix (PDM) development, monitoring, and evaluation throughout the project’s planning, implementation, and completion phases. During planning, it systematically incorporates stakeholder input in setting objectives and indicators. During implementation, it facilitates real-time monitoring for immediate decision-making and resource reallocation. At completion, it supports comprehensive performance evaluation. Application of the framework to the “Rural Development Programme in Tuyen Quang Province, Vietnam” demonstrated its effectiveness in systematizing excessive indicators and clarifying the hierarchical and logical connections between objectives. This performance evaluation framework can enhance project transparency and accountability by overcoming the limitations of current PDM approaches and providing systematic methods for incorporating stakeholder feedback. It is particularly applicable to multi-sectoral rural development programs and is expected to contribute to integrated development in target areas. However, validation through a single case study presents limitations, necessitating future application across diverse regions and project types to verify generalizability.

In recent years, with the advancement of virtual reality (VR) technology, research in related fields has gradually increased. As personal head-mounted display devices become more prevalent in the market, this study explores the phenomenon of integrating VR technology with online shopping from the consumer's perspective. The study focuses on consumers' acceptance of VR technology in online shopping and analyzes the types of virtual environments most likely to stimulate consumer purchase intention. Based on the SOR (Stimulus-Organism-Response) and TAM (Technology Acceptance Model) theories, a TAM-SOR integrated model was constructed. Taking into account influencing factors in the current online shopping environment, the model was built and tested using SPSS and AMOS to validate the hypotheses. Structural equation modeling and mediation effect analyses on the collected samples indicate that external stimulus variables in a VR shopping environment—such as flow experience, spatial presence, and entertainment—have a significant positive impact on purchase intention. Additionally, perceived ease of use and perceived usefulness serve as chain mediators, enabling external stimulus variables to further influence consumer purchase intention through these mediating variables.

본 연구는 초등학생들의 􍾧깊이 있는 학습􍾨을 위하여 AI 코스웨어를 활용한 개념기반 탐구수업의 통 합 모델을 교육공학적으로 개발하는데 목적이 있다. 이를 위하여 개념기반 교육과정 및 수업(CBCI)과 AI 코스웨어에 대한 문헌연구로 이론적 토대를 마련하고, AI 코스웨어 활용 개념기반 탐구수업의 통합 모델을 설계 및 개발하였다. 연구 결과는 다음과 같다. 첫째, AI 코스웨어 활용 개념기반 탐구수업의 모델을 진단분석, 전략설정, 수업설계(개념질문-과제탐색-과제해결-개념성찰), 전이촉진으로 명료화 하였다. 둘째, 패러다임 변화 이론에 따라, 통합 모델의 혁신 가능성을 평가하고 새로운 교육 패러다임 의 실질적인 적용 가능성을 통찰하였다. 이를 토대로 사례분석부터 모형구상, 모형숙의, 모형수정 과정 을 반복하며 통합 모델을 정교화하였다. 마지막으로, AI 코스웨어 활용 개념기반 탐구수업 연구에 참 여한 자문그룹과 워킹그룹을 심층 인터뷰하여 통합 모델의 설계-실행-생성 과정을 검토하고 교육과 정 및 수업의 적용과 실행을 위한 시사점을 도출하였다. 결론적으로, 본 연구는 AI 코스웨어와 개념기 반 탐구수업의 통합적인 방법론의 효과성을 확인하였으며, 향후 연구와 개발에 대한 지속적인 노력이 필요하다는 점을 시사한다.

In order to solve the rapidly increasing domestic delivery volume and various problems in the recent metropolitan area, domestic researchers are conducting research on the development of “Urban Logistics System Using Underground Space” using existing urban railway facilities in the city. Safety analysis and scenario analysis should be performed for the safe system design of the new concept logistics system, but the scenario analysis techniques performed in previous studies so far do not have standards and are defined differently depending on the domain, subject, or purpose. In addition, it is necessary to improve the difficulty of clearly defining the control structure and the omission of UCA in the existing STPA safety analysis. In this study, an improved scenario table is proposed for the AGV horizontal transport device, which is a key equipment of an urban logistics system using underground space, and a process model is proposed by linking systematic STPA safety analysis and scenario analysis, and UCA and Control Structure Guidelines are provided to create a safety analysis.

The deep geologic repository (DGR) concept is widely accepted as the most feasible option for the final disposal of spent nuclear fuels. In this concept, a series of engineered and natural barrier systems are combined to safely store spent nuclear fuel and to isolate it from the biosphere for a practically indefinite period of time. Due to the extremely long lifetime of the DGR, the performance of the DGR replies especially on the natural geologic barriers. Assessing the safety of the DGR is thus required to evaluate the impacts of a wide range of geological, hydrogeological, and physicochemical processes including rare geological events as well as present water cycles and deep groundwater flow systems. Due to the time scale and the complexity of the physicochemical processes and geologic media involved, the numerical models used for safety evaluation need to be comprehensive, robust, and efficient. This study describes the development of an accessible, transparent, and extensible integrated hydrologic models (IHM) which can be approved with confidence by the regulators as well as scientific community and thus suitable for current and future safety assessment of the DGR systems. The IHM under development can currently simulate overland flow, groundwater flow, near surface evapotranspiration in a modular manner. The IHM can also be considered as a framework as it can easily accommodate additional processes and requirements for the future as it is necessary. The IHM is capable of handling the atmospheric, land surface, and subsurface processes for simultaneously analyzing the regional groundwater driving force and deep subsurface flow, and repository scale safety features, providing an ultimate basis for seamless safety assessment in the DGR program. The applicability of the IHM to the DGR safety assessment is demonstrated using illustrative examples.

본 연구는 3개의 종돈회사가 보유하고 있는 6곳의 GGP 농장에서 분만한 Yorkshire종의 번식기록을 이용하여 농장과 산차간의 상호작용효과를 구명하는데 있다. 총산자수와 생존산자수의 평균은 각각 13.4±3.6두와 12.5±3.4두였으며, LSO와 LDO의 평균 세대간격은 각각 17.5개월과 22.0개월로 추정되었다. 산차별 총산자수 기록의 분포는 A(10), B(21), C(30) 그룹과 B(20), B(22), C(31) 그룹에서 뚜렷한 차이를 나타내었으며, 농장×산차의 상호작용효과는 고도의 유의차(P < 0.01)가 인정되었다. Model Ⅱ에서 추정된 유전력과 반복력은 총산자수에서 각각 0.13과 0.21, 생존산자수에서 각각 0.11과 0.19로 나타났다. 총산자수의 육종가를 이용하여 선발된 분만 기록이 있는 개체의 top 1% 비율은 ModelⅠ에서 A(10)농장이 67.4%로 가장 높았고 B(20), C(30), B(21)순이었으나, ModelⅡ에서 B(22)농장이 35.8%로 가장 높았고, B(20) 34.7%, B(21) 12.6%순이었다. 총산자수의 육종가를 이용하여 선발된 자손의 기록이 있는 씨수퇘지들의 top 1% 비율은 ModelⅠ에서 A(10)농장이 55.6%로 가장 높았으나 ModelⅡ에서 C(31)농장이 33.3%로 가장 높았고 B(20)과 B(21) 22.2%순이었다.

Currently many companies are interested in reduction of the carbon emissions associated with their supply chain activities such as transportation and operations. Operational decisions, such as modifications in order quantities could an effective way in reducing carbon emissions in the supply chain. Cap-and-trade regulation, sometimes called emissions trading, is a market-based tool to limit greenhouse gas emissions. Under cap-and-trade regulation, emission credits are allocated to the firms and the firms trades emissions under cap-and-trade schemes. In this paper, we propose a single-manufacturer single-buyer two-echelon supply chain problem under the cap-and-trade mechanism incorporating the carbon emissions caused by transportation and warehousing activities where a single manufacturer produces a family of items in order to deliver a family of items to a single buyer at a fixed interval of time for effective implementation of Just-In-Time (JIT) Purchasing. An integrated multi-product lot-splitting model of facilitating multiple shipments in small lots between buyer and manufacturer is developed in a JIT Purchasing environment. Also, an iterative heuristic algorithm is developed to derive the common order interval, the number of intervals for each product and the number of shipments between the buyer and the manufacturer during the common interval. A numerical example is given to illustrate the savings in reduction of total cost and carbon emissions by the inventory model incorporating cap-and-trade mechanism compared to the classical inventory model. The proposed inventory model could be useful for the practical solution of two-echelon supply chain inventory problem under cap-and-trade mechanism.

우리나라의 조선해양플랜트 산업은 2011~2015년 기간에 우리나라 품목별 수출기여도에서 1~4위를 차지할 정도로 대한민국 경제성장을 견인하는 중요한 산업이다. 이 연구는 과거 건조에만 치중했던 우리나라 해양플랜트 시추설비의 산업구조에서 통합시운전의 서비스 공급이 가능한 비즈니스 모델을 검토함으로써 시추설비 시장에서 우리나라 조선소의 국가경쟁력을 향상시킬 수 있는 방안을 제안 하고자 하였다. 2014년에 시도된 주작-1 폐공을 활용한 시운전 서비스 모델과 이의 한계 사항을 극복하고 사업을 활성화하기 위한 새로운 제안 비즈니스모델인 수심 150미터급 시운전 전용 모델의 경제성을 검토하였다. 경제성 평가 결과, 수심 150미터급 모델이 경제적으로 더 효과적인 것으로 나타났다. 그리고 통합시추설비의 시운전이 연간 2회에서 3,4,5회로 늘어남에 따라 NPV와 IRR 및 B/C 비율이 모두 증가 하였으며, 1회당 사용료는 감소하는 것으로 나타났다. 따라서 해양시추설비의 통합시운전 사업은 우리나라에서 건조되어 인도되는 설비를 대상으로 시추 시운전을 적극적으로 유치하는 노력이 필요하다.

The flow of the 4th Industrial Revolution calls for fundamental changes in the way of business pursued by manufacturing companies. In the service industry, various business models have been developed to include tangible products in services in order to secure differential competitive advantage in the market. Discussion of servitization and productization in academic research reflect the trends of these industries, and related researches are widely carried out in business administration, engineering, and design fields. In the meantime, customer value created by manufacturing companies and service companies has been proposed mainly about function, quality and utility of products or services. However, E3 Value (economic, ecological, experience), which is discussed from the viewpoint of product-service system (PSS), is newly recognized as an important factor in creating customer value. The purpose of this study is to develop a measurement model for the effects of product value, service value, and newly illuminated E3 Value on various business performance of a company. This study suggests a research model to extend the discussions on E3 Value, which was limited to concept studies and case studies, to empirical studies.

The application of the theoretical model to real assembly lines has been one of the biggest challenges for researchers and industrial engineers. There should be some realistic approach to achieve the conflicting objectives on real systems. Therefore, in this paper, a model is developed to synchronize a real system (A discrete event simulation model) with a theoretical model (An optimization model). This synchronization will enable the realistic optimization of systems. A job assignment model of the assembly line is formulated for the evaluation of proposed realistic optimization to achieve multiple conflicting objectives. The objectives, fluctuation in cycle time, throughput, labor cost, energy cost, teamwork and deviation in the skill level of operators have been modeled mathematically. To solve the formulated mathematical model, a multi-objective simulation integrated hybrid genetic algorithm (MO-SHGA) is proposed. In MO-SHGA each individual in each population acts as an input scenario of simulation. Also, it is very difficult to assign weights to the objective function in the traditional multi-objective GA because of pareto fronts. Therefore, we have proposed a probabilistic based linearization and multi-objective to single objective conversion method at population evolution phase. The performance of MO-SHGA is evaluated with the standard multi-objective genetic algorithm (MO-GA) with both deterministic and stochastic data settings. A case study of the goalkeeping gloves assembly line is also presented as a numerical example which is solved using MO-SHGA and MO-GA. The proposed research is useful for the development of synchronized human based assembly lines for real time monitoring, optimization, and control.

In order to remove the inefficient cost occurred among companies, the cooperation among companies are required. The single vendor-single buyer integrated model is often studied for that purpose. Buyer’s demand follows normal distribution, and vendor’s inventory policy use a continuous inventory review policy. If buyer places order, then vendor begins to make products and transfer those products to the buyer several times. In real situation, the size of company’s warehouse is restricted, space limit constraint is considered. There are three approaches for the single vendor-single buyer integrated model with space limit: equal batch shipment approach, increasing batch shipment approach, and mixed approach. In this paper, these approaches are compared one another and we discuss about the advantages and disadvantages of these approaches.

This paper is to analyze an integrated production and inventory model in a single-vendor multi-buyer supply chain. The vendor is defined as the manufacturer and the buyers as the retailers. The product that the manufacturer produces is supplied to the retailers with constant periodic time interval. The production rate of the manufacturer is constant for the time. The demand of the retailers is constant for the time. The cycle time of the vendor is defined as the elapsed time from the start of the production to the start of the next production, while the cycle times of the buyer as the elapsed time between the adjacent supply times from the vendor to the buyer. The cycle times of the vendor and the buyers that minimizes the total cost in a supply chain are analyzed. The cost factors are the production setup cost and the inventory holding cost of the manufacturer, the ordering cost and the inventory holding cost of the retailers. The cycle time of the vendor is investigated through the cycle time that satisfies economic production quantity with the production setup cost and the inventory holding cost of the manufacturer. An integrated production and inventory model is formulated, and an algorithm is developed. An numerical example is presented to explain the algorithm. The solution of the algorithm for the numerical examples is compared with that of genetic algorithm. Numerical example shows that the vendor and the buyers can save cost by integrated decision making.