• KDI Journal of Economic Policy
• /
• 제35권4호
• /
• pp.31-61
• /
• 2013

민간투자 도로사업의 경우, 사업의 미래 수익성과 직접적으로 관련 있는 예측 교통량의 불확실성과 이에 따른 위험이 민간 운영자에게 이전된다. 따라서 교통량 예측위험이 민간투자 도로사업의 추진에 어느 정도 영향을 미치며, 이러한 위험의 실제적인 경제적 가치를 파악하는 것은 민간투자사업의 적격성을 파악하고 이를 높일 수 있는 중요한 정보이다. 본 논문의 목적은 민간투자 도로사업의 교통수요 예측위험의 경제적 가치를 산정하는 것이다. 이를 위해 예측 교통량은 불확실성이 존재하는 확률변수이며, 시간이 경과하면서 기하 브라운 운동을 따른다고 가정한 후 민간투자사업의 가치변동성을 예측하는 방안을 제안하였다. 특히 본 논문에서는 개통 후 도로사업의 교통량 형성 특성을 고려한 램프업 기간 전후의 상이한 교통량 증가율과 그 변동성을 적용하여 단순히 임의적으로 가정한 기존 연구와 차별화하였다 사례 사업분석 결과, 예측된 해당 민간투자사업의 교통수요 예측 리스크 프리미엄은 출자 건설회사의 시가총액을 고려하지 않고 단순평균하는 경우 7.39%, 시가총액을 가중하여 평가하는 경우 8.30%로 분석되었으며, 교통수요 예측위험에 따른 해당 민간투자사업의 가치변동성은 17.11%로 예측되었다. 할인율이 클수록 프로젝트의 가치변동성은 작아졌는데, 비용의 고정으로 인한 레버리지 효과는 교통량 변동성보다 프로젝트의 가치변동성을 크게 하였다. 교통수요 예측위험에 따른 민간투자사업의 가치변동률과 리스크 프리미엄을 통해 산출하는 사례 민간투자사업 교통량 예측위험의 시장가치는 0.42~0.50 사이로 분석되었는데, 이는 교통량 변동성이 1% 증가하거나 감소하면 이에 따른 해당 프로젝트 위험 프리미엄은 0.42~0.50% 증가하거나 감소함을 의미한다.

• 한국정보시스템학회지:정보시스템연구
• /
• 제30권1호
• /
• pp.151-177
• /
• 2021

Purpose This paper aims to improve management performance by effectively responding to production needs and reducing inventory through synchronizing production planning and procurement in the aviation industry. In this study, the differences in production planning and execution were first analyzed in terms of demand, supply, inventory, and process using the big data collected from a domestic aircraft manufacturers. This paper analyzed the problems in procurement and inventory management using legacy big data from ERP system in the company. Based on the analysis, we performed a simulation to derive an efficient procurement and inventory management plan. Through analysis and simulation of operational data, we were able to discover procurement and inventory policies to effectively respond to production needs. Design/methodology/approach This is an empirical study to analyze the cause of decrease in inventory turnover and increase in inventory cost due to dis-synchronize between production requirements and procurement. The actual operation data, a total of 21,306,611 transaction data which are 18 months data from January 2019 to June 2020, were extracted from the ERP system. All them are such as basic information on materials, material consumption and movement history, inventory/receipt/shipment status, and production orders. To perform data analysis, it went through three steps. At first, we identified the current states and problems of production process to grasp the situation of what happened, and secondly, analyzed the data to identify expected problems through cross-link analysis between transactions, and finally, defined what to do. Many analysis techniques such as correlation analysis, moving average analysis, and linear regression analysis were applied to predict the status of inventory. A simulation was performed to analyze the appropriate inventory level according to the control of fluctuations in the production planing. In the simulation, we tested four alternatives how to coordinate the synchronization between the procurement plan and the production plan. All the alternatives give us more plausible results than actual operation in the past. Findings Based on the big data extracted from the ERP system, the relationship between the level of delivery and the distribution of fluctuations was analyzed in terms of demand, supply, inventory, and process. As a result of analyzing the inventory turnover rate, the root cause of the inventory increase were identified. In addition, based on the data on delivery and receipt performance, it was possible to accurately analyze how much gap occurs between supply and demand, and to figure out how much this affects the inventory level. Moreover, we were able to obtain the more predictable and insightful results through simulation that organizational performance such as inventory cost and lead time can be improved by synchronizing the production planning and purchase procurement with supply and demand information. The results of big data analysis and simulation gave us more insights in production planning, procurement, and inventory management for smart manufacturing and performance improvement.

• 한국전산구조공학회논문집
• /
• 제15권1호
• /
• pp.165-172
• /
• 2002

일반적으로 모멘트 지지 강구조물은 유한요소법에 의해 이상화되고 해석되어 왔으며 기둥과 기둥의 연결부, 기둥과 보의 접합부의 정확한 비선형 해석 결과를 위해 많은 노력을 해온 반면에 기둥의 지지부에 대한 해석은 고정단 또는 힌지로 간단하게 이루어져 왔다 그러나 실제로 기둥의 지지부는 고정단도 힌지도 아닌 그 중간인 반강성으로 거동한다. 본 논문에서는 이러한 기둥 지지부를 반강성모델을 이용해서 해석하고 그 결과를 고찰하여 기둥 지지부의 강성 및 강도의 변화가 미치는 영향을 평가하였다. 미국 시방서에 의해 설계된 전형적인 두개의 3층 모멘트지지 강구조물을 이미 개발된 강성도법 및 유연도법에 기초한 7iber 유한 요소를 사용하여 해석하였다. 기등의 지지부는 고정단과 힌지사이에 있는 반강성 지지부를 모델하기 위해 다양한 강성도를 갖는 회전 스프링을 사용하였다. 실제의 기둥 지지부와 가깝게 모델된 반강성 지지부를 갖는 구조물의 해석 결과는 고정지지부를 갖는 구조물과 어느 정도 비슷한 결과를 보여주었다. 또한 pushover 해석과 비선형 시간 이력 해석을 통해 기둥 지지부의 강성도가 감소함에 따라 1층 보의 소요 처짐각(rotational demand)이 증가하는 현상이 관찰되었다 시공상의 문제 및 노화로 인한 기동 지지부의 강성도 감소는1층의 접합부에 대한 소요 터짐각의 증가를 유발하고 그것은 곧 soft-story mechanism을 유발하게 된다.

• 한국빅데이터학회지
• /
• 제6권2호
• /
• pp.17-28
• /
• 2021

최근 4차산업 혁명 기술의 성장과 코로나바이러스 확산으로 인해 모바일 중심의 온라인 쇼핑 시장이 급격하게 성장하게 되었으며, 다양한 차별화 전략을 앞세운 많은 기업들이 치열하게 경쟁하고 있다. 보다 높은 수준의 배송서비스를 요구하는 고객들을 만족시키기 위해 풀필먼트센터라는 개념이 등장하였고, 이를 통해 기존 주문 이후 집하에서 배송까지 수행되던 프로세스의 전체 처리 시간과 효율성을 개선할 수 있게 되었다. 그러나, 여전히 풀필먼트센터 내에서의 작업 효율성이 전체 배송 서비스의 수준을 결정하는 제약요인으로 작용하고 있다. 이를 해결하기 위해 빅데이터, 사물인터넷 및 인공지능을 활용한 수요 예측과 공급의 조정 등과 같은 다양한 방법이 제시되고 있으나, 그 한계가 분명히 존재한다. 풀필먼트센터 내 가장 많은 작업시간과 비효율성을 초래하는 과정이 주문된 상품의 집하 작업 이후 배송을 위한 포장까지이므로, 이 과정을 자동화하기 위한 노력이 필요하다. 본 연구에서는 상품이 보관되어 있는 위치에서 포장을 위한 장소로의 집하와 상품 이동을 자동화하기 위한 AGV와 AMR의 효율적 운영을 위한 계획을 수립하기 위한 방안을 제시한다. 풀필먼트센터 내 보관된 상품의 수, 상품별 수요에 따라 투입되는 자동화 장비의 운영 효율성이 달라질 수 있기 때문에 다양한 시나리오를 기반으로 시뮬레이션을 수행하였다. 본 연구를 통해 얻은 결과를 바탕으로 풀필먼트센터 내 자동화 장비 도입 시 검토해야 할 다양한 요인을 확인할 수 있으며, 급변하는 시장 수요에 유연하게 대응하기 위해 효율성을 기준으로 최적 의사결정을 위한 참고자료로 활용할 수 있을 것이다.

• Earthquakes and Structures
• /
• 제1권1호
• /
• pp.21-41
• /
• 2010

Multi-span steel-concrete composite (SCC) bridges are very sensitive to earthquake loading. Extensive damage may occur not only in the substructures (piers), which are expected to yield, but also in the other components (e.g., deck, abutments) involved in carrying the seismic loads. Current seismic codes allow the design of regular bridges by means of linear elastic analysis based on inelastic design spectra. In bridges with superstructure transverse motion restrained at the abutments, a dual load path behavior is observed. The sequential yielding of the piers can lead to a substantial change in the stiffness distribution. Thus, force distributions and displacement demand can significantly differ from linear elastic analysis predictions. The objectives of this study are assessing the influence of piers-deck stiffness ratio and of soil-structure interaction effects on the seismic behavior of continuous SCC bridges with dual load path, and evaluating the suitability of linear elastic analysis in predicting the actual seismic behavior of these bridges. Parametric analysis results are presented and discussed for a common bridge typology. The response dependence on the parameters is studied by nonlinear multi-record incremental dynamic analysis (IDA). Comparisons are made with linear time history analysis results. The results presented suggest that simplified linear elastic analysis based on inelastic design spectra could produce very inaccurate estimates of the structural behavior of SCC bridges with dual load path.

• 대한산업공학회지
• /
• 제34권1호
• /
• pp.108-121
• /
• 2008

Dispatching rule for parallel machines with multi product is proposed in this paper, In current market,customer's request for higher quality is increasing, In accordance with such demand, manufacturers are focusingon improving the quality of the products. Such shift in production objective is risky. The possibility ofneglecting another important factor in customer satisfaction increases, namely due dates. From the aspect ofimproving quality, frequency of product assignment to limited number of high performance machines willincrease. This will lead to increased waiting time which can incur delays, In the case of due date orientedproduct dispatch, Products are assigned to machines without consideration for quality. Overall deterioration ofproduct quality is inevitable, In addition, Poor products will undergo rework process which can increase delays.The objective of this research is dispatching products to minimize due date delays while improving overallquality. Quality index is introduced to provide means of standardizing product quality. The index is used toassure predetermined quality level while minimizing product delays when dispatching products. Qualitystandardization method and dispatching algorithm is presented. And performance evaluation is performed withcomparison to various dispatching methods.

• Fisheries and Aquatic Sciences
• /
• 제11권1호
• /
• pp.15-22
• /
• 2008

Excessive growth of phytoplankton is a common and severe problem in intensively farmed pangasiid catfish (Pangasius hypophthalmus) culture ponds. It can lead to cyanobacterial blooms, reduced fish growth, bad-tasting fish flesh, and lower market demand. To investigate how to manage undesirable phytoplankton growth, we evaluated three stocking strategies in nine rural fishponds (0.020-0.022 ha) owned by various farmers: a pangasiid catfish mono culture (treatment 1, $T_1$), and pangasiid catfish-silver carp (Hypophthalmichthys molitrix) polycultures at two stocking ratios of 1:1 (treatment 2, $T_2$) and 2:1 (treatment 3, $T_3$). The total density of all ponds was approximately 30,000 fishes/ha. Monoculture ($T_1$) resulted in significantly higher (p < 0.05) nutrient levels (nitrate and phosphate) in ponds than did polyculture ($T_2$ and $T_3$). Nutrient loads increased with culture time, resulting in increased growth of phytoplankton, including Cyanophyceae (9 genera), Chlorophyceae (15 genera), Bacillariophyceae (8 genera), and Euglenophyceae (3 genera). The introduction of silver carp as a co-species helped to regulate phytoplankton growth and to improve the water quality of pangasiid catfish culture ponds.

• 한국태양에너지학회 논문집
• /
• 제32권2호
• /
• pp.42-49
• /
• 2012

In this article, the author carried out a theoretical study on the application techniques of a new Combined Passive Solar System (hereinafter referred to as the CPSS) of direct gain and trombe walls to get quick morning heating and to prevent afternoon overheating for office building. The numerical model proposed in this study can be used for the performance analysis of the CPSS in the winter and summer. Heating and Cooling loads are analysed for building energy consumption reduction using this numerical model. The results indicate that CPSS in the winter and summer modes could provide profitable conditions for improvement of indoor thermal comfort control and energy saving. consequently, the application of CPSS will not lead to significant reductions in the auxiliary air conditioning demand but also realize the environmentally friendly building.

• 대한용접접합학회:학술대회논문집
• /
• 대한용접접합학회 2002년도 Proceedings of the International Welding/Joining Conference-Korea
• /
• pp.475-480
• /
• 2002

The reliability of the solder joint is affected by type and extent of the interfacial reaction between solder and substrates. Therefore, understanding of intermetallic compounds produced by soldering in electronic packaging is essential. In-based alloys have been favored bonding devices that demand low soldering temperatures. For photonic and fiber optics packaging, m-based solders have become increasingly attractive as a soldering material candidate due to its ductility. In the present work, the interfacial reactions between indium solder and bare Cu Substrate are investigated. For the identification of intermetallic compounds, both Scanning Electron Microscopy(SEM) and X-Ray Diffraction(XRD) were employed. Experimental results showed that the intermetallic compounds, such as Cu$_{11}$In$_{9}$ was observed for bare Cu substrate. Additionally, the growth rate of these intermetallic compounds was increased with the reaction temperature and time. We found that the growth of the intermetallic compound follows the parabolic law, which indicates that the growth is diffusion-controlled.d.

• The International Journal of Costume Culture
• /
• 제12권2호
• /
• pp.141-152
• /
• 2009

In this study, the business structure and characteristics of buying offices used by buyers for apparel productions through global sourcing were analyzed in specifics. Data were acquired through in-depth interviews of twelve merchandisers at representative apparel buying offices. The results of this study can be summarized as following. The business structure of a buying office varied depending on the functions, the item characteristics of products to be manufactured or the characteristics of the major buyers who were the customers. Overall, teams were formed by brands or organizations were formed by functions. Functional teams were divided within each brand team when business teams were divided by brands and personnel was divided by brands occasionally within each functional team when business teams were divided by functions. Business teams were composed of MR which managed the overall business about orders such as factory sourcing, price decision and production management and teams with various specialized skills. The teams with specialized skills were composed of Technical team, Fabric Development team, Colorist team, Quality Assurance (QA) or Quality Control (QC) team, Logistics team, Factory Audit team, and etc. For the future directions on the improvements, ways to increase international competitiveness of buying offices need to be researched and many expressed the opinion that it would be effective to move the offices to countries close to buyers or manufacturing locations as most buyers demand lower prices and shorter lead time than before and it is increasing trend for buyers and factories to do business directly without buying offices in the middle.