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.

In this paper, we investigate an inventory and production system in a three-layer supply chain system involving a single supplier, single manufacturer and multiple retailers. Earlier study in this type of supply chain only consider a single raw material in order to produce single item, but we consider raw materials in order to produce multiple items. It is assumed that the cycle time at each stage is an integer multiple of the adjacent downstream stage. We develop an iterative solution procedure to find the order quantity for the multiple items and raw materials that minimizes the supply chain-wide total cost per unit time of the supplier and manufacturer’s raw materials ordering and holding, setup and finished items holding, the retailer’s ordering and inventory holding. Numerical examples are presented to show that the proposed heuristic gives good performance.

월성원자력환경센터 중저준위방사성폐기물 처분시설은 서로 다른 방식의 처분시설이 혼재하고, 월성 원자력발전소와도 인 접해있다. 이와 같은 높은 복잡성으로 인해 처분시설 안전성 평가 시 보다 면밀한 현상이해가 필요하다. 기존 1단계 사일로 처분시설의 성능평가모델들에 포함된 불필요한 보수성을 줄이고 복합처분시설에 대한 보다 실제적인 성능을 파악하기 위해 서는 다차원 수리/핵종이동 모델이 필요하다. 이와 함께 향후 복합처분시스템의 특성에 기인한 다양한 불확실성을 관리하 고 파라미터의 중요도를 분석하기 위해 많은 계산이 필요할 것으로 예상하며, 이를 위해 보다 효율적인 성능평가 모델이 요 구된다. 본 논문에서는 두 요건을 충족시키기 위해 수리성능 모델과 핵종이동 모델을 연계한 2단계 천층처분시설의 근계영 역 2차원 통합성능평가 모델을 개발하였다. 수리 및 핵종이동은 PORFLOW와 GoldSim 전산 코드를 이용해 평가하였으며, GoldSim 핵종이동 모델은 PORFLOW 핵종이동 모델과의 벤치마크를 통해 검증하였다. GoldSim 모델은 계산효율이 뛰어났 으며 기존의 모델에 비해 핵종이동거동을 이해하는데 용이하였다.

Purpose – The purpose of this paper is to examine retail brand equity driver and equity components, and discuss the differentiation of retail branding strategy of three types of supermarket (national chain, local chain and specialty chain) especially in Japan. Design/methodology/approach –The empirical study is based on a sample of 3,062 customers usually using supermarket chain stores (total 58 chain stores) via Internet research household panel to develop this model, and using multiple-group structural equation modeling. Findings – First, store equity driver influence the retail brand equity than policy of corporate driver, and the most affect factor of store equity driver is a service and support. Second, Retail brand equity components were distinctiveness, emotional loyalty, experience value, and trustworthiness. Emotional loyalty and experience value influences the behavioral loyalty. Third, three types of supermarket have different equity drivers, and they influence the purchase behavior. Specialty chain has a strong store driver, which increases of price per unit. National chain and local chain has a strong covariance policy of corporate driver and store equity driver, which influences the retail brand equity. Originality/value – Understanding the retail brand equity in Japanese supermarkets. Retail brand equity is made from a holistic aggregation of some components, and equity driver is made from store attributes and corporate attributes, which are attribution level of operational activities. Consumer recognizes the store as a holistic brand but company wants to know how to increase the behavioral loyalty (purchase behavior), this retail brand equity model integrates the retail brand as holistic and attribution level approach follows retail-marketing activities.

산업기술의 비약적인 발전으로 인해 오늘날 우리가 개발하거나 사용하는 시스템은 보다 기술의 고도화 양상을 보이고 있다. 따라서, 기존의 시스템이 지니고 있어 제공하는 단일 특성에서 벗어나 다양한 학제간 결합된 기술로 기존 시스템이 지니고 있는 관념적인 기능에서 벗어나 다기능을 제공하고 있다. 이로 인해, 기존의 개발단계에서는 보다 높은 설계 신뢰성이 요구되고 있다. 특히, 오늘날 우리사회는 시스템의 개발성공이라는 안도에서 벗어나 시스템 운용·유지단계에서도 안전성 측면에서 매우 중요성을 인식하고 대비하고 있다. 따라서, 국내에서는 미흡한 상위 단계에서의 설계활동과 또한, 같은 시스템 수명주기 상에서의 시스템 안전활동을 동시에 고려한 동시공학적인 접근에 관한 연구를 본 연구팀은 지속적으로 수행해왔다. 따라서, 기존의 연구결과인 설계와 안전을 동시에 고려한 통합 설계 프로세스 모델에 대해, 시스템개발에 관련한 모든 이해당사자가 공통된 이해를 바탕으로 시스템설계와 안전 활동에 대해 상호 호완성과 공통된 인식을 갖고 접근할 수 있는 방안을 본 연구를 통해 수행하였다. 따라서, 본 연구는 모델기반 시스템공학 기법중 보편적인 언어인 공통 언어를 통해 기존 연구를 통해 제시한 통합설계 프로세스 모델을 구현에 관한 연구 수행을 통한 접근 방안에 관하여 논의하고 있다. 본 연구를 기반으로 향후 추가 연구를 수행한다면, 국내 대형복합시스템의 설계단계에서의 안전성을 동시 고려한 시스템 설계 신뢰성 확보를 위해 도움이 될 것으로 기대 된다.