• International journal of advanced smart convergence
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• 제8권4호
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• pp.121-129
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• 2019

We are based on the results of this study, the policy measures for improving the efficiency of supply & demand policy of public cremation facilities in six metropolitan cities in the whole nation could be suggested as follows. First, when the utilization rate of public cremation facilities by citizents out of the jurisdiction area was lower, the overall demand for cremation was high. Therefore, the supply & demand policy of public cremation facilities should be carried forward by preferentially focusing on Busan Metropolitan City(4.1%) and Daegu Metropolitan City(17.9%) with low utilization rate by citizens out of the jurisdiction area. Second, the utilization variance of public cremation facilities in the whole six metropolitan cities in the whole nation, was insignificant(1.4%). Therefore, for the efficiency of supply & demand policy of cremation facilities in those six metropolitan cities, the customized-policies considering the characteristics of each metropolitan city should be carried forward in priority. Third, on the basis of 2018, the population size of those six metropolitan cities in the whole nation is from minimum 1.15million to maximum 3.39million as a large city, and relatively, they are facing many difficulties in the expansion for supply & demand of cremation facilities. Therefore, for the smooth construction of cremation facilities, it would be necessary to enforce policies that could disperse the demand for cremation through the joint construction of cremation facilities with other local governments close to each metropolitan city.

• 문화기술의 융합
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• 제4권3호
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• pp.93-98
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• 2018

본 연구는 아시아의 대표적인 신흥경제국으로 원유수입국이며 소규모 개방경제인 한국을 대상으로 유가쇼크의 거시경제 효과를 충격반응함수를 추정하여 분석하였다는데 의의가 있다. 유가쇼크는 대부분 공급 측면의 요인에 의해 발생하는 것으로 알려져 왔으나, 본 연구는 유가쇼크를 수요와 공급 측면에서 세 가지로 구분하여 그 거시경제 효과를 분석하였다. 한국의 경우에 있어, 유가쇼크는 쇼크의 요인에 따라 상이한 반응을 보였다. 원유공급쇼크는 산업 활동과 금리를 하락시키며, 원유 자체 수요쇼크는 다른 요인에 의한 유가쇼크보다 상대적으로 금리를 가장 크게 상승시키는 것으로 나타났다. 그리고 경제호황에 의한 원유수요쇼크는 다른 요인에 의한 유가쇼크보다 물가와 환율을 상대적으로 가장 크게 상승시키는 것으로 나타났다. 따라서 정책당국은 유가쇼크의 요인에 따라 상이한 정책 대응을 할 필요가 있을 것이다.

• 한국건설관리학회논문집
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• 제12권5호
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• pp.35-45
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• 2011

최근 한국 주택시장의 혼재하고 있는 문제점으로 인해 공급기반 강화 전략이 중요한 화두가 되고 있다. 특히, 2008년 이후 금융시장 불안으로 인한 주택시장의 침체로 미분양주택 해소 및 서민주거안정을 위한 정책이 요구되고 있다. 그러나 이들은 주택공급조절과 주택공급확대라는 서로 상반된 목표를 갖고 있기 때문에 정책결정에 어려움을 발생시킨다. 따라서 본 연구는 미분양해소 및 서민주거확대를 위한 주택정책 적용 시 주택시장을 구성하는 다양한 변수 간 관계들의 구조적 변화를 파악함으로써 정책 실효성을 분석하는 시스템다이내믹스 모델을 개발한다. 개발된 모텔에 다양한 정책 시나리오를 적용함으로써 가능한 정책대안들을 평가하고, 문제해결을 위한 정책을 제안한다. 연구 결과, 민간을 배제한 공공 주도의 공급정책 및 미분양주택 해결을 위한 민간 주택건설 규제는 건설시장의 자율조절기능을 위축시키는 요소로 작용할 수 있다. 따라서 민간 주택건설의 자율적 조절기능을 지원하는 정책을 마련해야 민간 주택시장의 공급체계 안정화 및 수요-공급 조절기능의 정상화를 이룰 수 있다.

• 한국전자거래학회지
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• 제19권1호
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• pp.43-61
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• 2014

본 연구는 공급망 운영에서 가장 기본적이고 필수적인 연구 분야인 공급자의 선정과 수요의 할당 문제를 해결하기 위한 방법으로 게임이론을 적용하였다. 특히, 가장 보편적으로 사용되고 있는 점진적 역경매 메커니즘을 비율적 형평성을 보장하는 구매 게임 방식과 공급망 전체 운영의 수익성이라는 관점에서 비교 분석하였다. 서로 다른 두 메커니즘의 정교한 비교 분석을 위한 전체 알고리즘을 제시하였으며, 구매게임을 이용한 공급자 선정 및 주문 배분의 최적해는 유전자 알고리즘을 통해 도출하였다. 전체 공급망의 수익성은 공급자와 구매자의 수익함수와 수익-비용 비율을 통해 평가하였다. 실제 현실의 공급망을 단순화한 모형을 바탕으로 본 연구에서 제안하는 방법이 전체 공급망의 수익성을 어떻게 향상시킬 수 있는 지를 간단한 실험과 통계 분석을 통해 설명하였다. 이를 통해 구매게임의 해가 역경매 방식에 비해 구매자의 수익성 감소를 통해 공급자와 구매자를 모두 포함하는 공급망 전체의 수익성을 크게 향상시킬 수 있음을 보였다.

• 한국수자원학회:학술대회논문집
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• 한국수자원학회 2021년도 학술발표회
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• pp.144-144
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• 2021

The rapid urbanization in many Asian countries has taken millions of people from the rural countryside to concentrated megacities, which eventually putting pressure on the existing water resources. The over-growing population and increasing living standard of people in the urban region of developed as well as developing countries such as Korea, China, Japan and India have witnessed a drastic change in terms of domestic water demand for the past few decades. In this study, we used the concept of potential surface water availability in the form of surface runoff for future vulnerability assessment. We focused on 42 megacities having population more than 5 million as per the United Nations (UN) census data 2020. The study shows that 30 out of 42 cities having more than 180L/p/d demand for domestic use based on various references. We have predicted the domestic water demand for all the cities on the basis of current per capita demand up to 2035 using UN projected population data. We found that the projected water demand in megacities such as Seoul, Busan, Shanghai, Ghuanzou are increasing because of high population as well as GDP growth rate. On the contrary, megacities of Japan considered in our stud shows less water demand in future due to decreasing trend of population. As per the past records provided by the local municipalities/authorities, we projected different scenarios based on the future supply for various megacities such as Chennai, Delhi, Karachi, Mumbai, Shanghai, Wuhan, etc. We found that the supply to demand ratio of these cities would be below 75% for future period and if such trend continues then the inhabitants will face serious water stress conditions. Outcomes of this study would help the local policy makers to adopt sustainable initiatives on urban water governance to avoid the severe water stress conditions in the vulnerable megacities.

• KEPCO Journal on Electric Power and Energy
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• 제2권3호
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• pp.425-431
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• 2016

Supply Capability of the generator, if the maximum demand occurs, refers to the maximum power that can be stably supplied and it is possible to maintain stable power supply to be greater than actual load. However, unexpected power demand and reduction in supply Capability due to stop of unexpected generator in operation can temporarily make a big chaos in power system. In fact, due to a lack of power supply Capability in the country, enforced emergency load adjustment to the September 15, 2011, the circulation power outage has occurred in several cities. As the result, interrupted operation of the elevator and stopped hospital medical equipment led to a great deal of trouble to people's lives, causing a social problem. At that time, it was found that a failed frequency control because of smaller actual supply Capability than that of predicted. The difference was about 1,170 MW with Gas turbine power plant. By accurately calculating the generator supply capability, we can not only grasp the power reserve rate, but also correspond to the time of power supply instability.

• 유통과학연구
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• 제19권11호
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• pp.59-68
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• 2021

Purpose: The Covid-19 pandemic has had excessively severe impacts on all the nodes and edges of any supply chain due to changes in consumer behaviours and lockdown restrictions from governments among countries. This article aims to provide a simulating experiment on how a supply chain deals with supply disruption risks by flexibility in the inventory level of each sector as a buffer considering the overall cost to fulfil demand in the market. Research design, data and methodology: Agent-based simulation techniques are used to determine the cost-efficiency and customer waiting time related to varying inventory levels of each member in the supply chain when using inventory buffers. Findings: This study has shown that any sudden changes in the inventory level of each sector are likely to impact the rest of the supply chain. Among all sectors, the wholesaler will be impacted more severely than others. Also, the manufacturing sector is the most suitable node to adjust inventory depending on its manufacturing ability. Conclusion: The findings of the study provide insightful implications for decision-makers to adjust inventory levels and policymakers to maintain manufacturing activities in the context of the pandemic restrictions to deal with the excessive demand and potential supply disruption risks.

• 한국농촌건축학회논문집
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• 제19권3호
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• pp.33-41
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• 2017

Recently, it is recognized that the increase of return farmers is an important task to revitalize rural areas. There is a growing need to improve the housing environment in rural areas by expanding rental housing supply in order to increase return farmers. The purpose of the study is to forecast the rural rental housing demand based on the questionnaire survey and to suggest the rural rental housing supply in the public sector. The rural rental housing demand consists of demand for rural residents and demand for return farmers. The survey was conducted for rural residents and potential return farmers. The rural rental housing demand was analyzed by using prospect of rural residents and return farmers in the future and the rate of intention to move into rural rental house derived from the survey. In this study, rural rental housing demand which does not take into consideration the rent level and rural rental house demand considering it are presented respectively.

• 조명전기설비학회논문지
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• 제25권11호
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• pp.39-49
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• 2011

Smart Grid has two main objectives on both supply and demand aspects which are to distribute the renewable energy sources on supply side and to develop realtime price responses on demand side. Renewable energy does not consume fossil fuels, therefore it improves the eco-friendliness and saves the cost of power system operation at the same time. Demand response increases the flexibility of the power system by mitigating the fluctuation from renewable energies, and reduces the capacity investment cost by shedding the peak load to off-peak periods. Currently Smart Grid technologies mainly focus on energy monitoring and display services but it has been proved that enabling technologies can induce the higher demand responses through many pilot projects in USA. On this context, this paper provides a price responsive algorithm for HEMS (home energy management system) on the real time pricing environment. This paper identifies the demand response as a core function of HEMS and classifies the demand into 3 categories of fixed, transferable, and realtime responsive loads which are coordinated and operated for the utility maximization or cost minimization with the optimal usage combination of three kinds of demand.

• 전기학회논문지P
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• 제64권2호
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• pp.74-78
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• 2015

With the improvement of living standards and economic development, electricity consumption continues to grow. The electricity is a special energy which is hard to store, so its supply must be consistent with the demand. The objective of electricity demand forecasting is to make best use of electricity energy and provide balance between supply and demand. Hence, it is very important work to forecast electricity demand with higher precision. So, various forecasting methods have been developed. They can be divided into five broad categories such as time series models, regression based model, artificial intelligence techniques and fuzzy logic method without considering special-day effects. Electricity demand patterns on holidays can be often idiosyncratic and cause significant forecasting errors. Such effects are known as special-day effects and are recognized as an important issue in determining electricity demand data. In this research, we developed the power demand forecasting method using ELM(Extreme Learning Machine) for special day, particularly, lunar new year and Chuseok holiday.