• 상하수도학회지
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• 제20권4호
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• pp.527-534
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• 2006

Demand side management(DSM) is the newly raised issues in the water resources management in recent. Many of the policy tools among demand management, the most important measures might be a pricing system. Furthermore, the responses of consumers on the price for water consumption level is the key factor for policy making. Here, we estimated panel data for 167 regions and over 7 years periods in Korea. Compare to other previous studies the price elasticities were somewhat low. The estimated price elasticity was -0.05. It was because the short term estimated period may derive lower elasticities. However, it might be a recent trend after the continuous increment of water pricing and consumers not willing to decrease their residential water consumption with increasing water pricing. According to this results, water saving effect might be much smaller than we expect with pricing policy. However, It does not imply there is no price effects on water consumption and it's still meaningful as a tool of water management.

• 산업공학
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• 제16권4호
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• pp.400-410
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• 2003

Most of the demand forecasting which have been studied is about long-term time series over 15 years demand forecasting. In this paper, we set up the most optimal ARIMA model for the short-term time series demand forecasting and suggest demand forecasting system for short-term time series by appraising suitability and predictability. We are going to use the univariate ARIMA model in parallel with the bivariate transfer function model to improve the accuracy of forecasting. We also analyze the effect of advertisement cost, scale of branch stores, and number of clerk on the establishment of marketing policy by applying statistical methods. After then we are going to show you customer's needs, which are number of buying products. We have applied this method to forecast the annual sales of refrigerator in four branch stores of A company.

• 산업경영시스템학회지
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• 제17권31호
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• pp.59-72
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• 1994

This paper deals with ordering policies of consumable goods which have large demand rates in a multi-level distribution system. The system we are concerned consists of one Central Distribution Center(CDC) and N non-identical Regional Distribution Centers(RDCs) which have different demand rates, minimum fillrates, leadtimes, etc. The customer demand on the RDC is stationary poisson and the RDCs demand on the CDC is superposition of Q-stage Erlang distributions. We approximate the RDCs and CDC demand distribution to nomal in order to enhance the efficiency of algorithm. The relevant costs include a fixed ordering cost and inventory holding cost, and backorder cost. The objective is to find a continuous-review ordering policy that minimizes the expected average costs under constraints of minimum fill rates of RDCs and maximum allowable mean delay of CDC. We developed an algorithm for determining the optimal ordering policies of the CDC and the RDCs. We verified and compared the performance of the algorithm through the simulation using the algorithm result as the input parameters.

• 농촌지도와개발
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• 제30권1호
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• pp.43-52
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• 2023

This study aims to examine the effects of GDP as a proxy variable of income, consumer price index as a proxy variable of price, and foot-and-mouth disease and avian influenza as derby variables on rural tourism demand. The independent variables in this research were gross domestic product(GDP), consumer price index(CPI), and dummy variable(DM) such as food & mouth disease & highly pathogenic avian influenza. Results showed that GDP affected tourism demand positively whereas DM influenced negatively. The study suggested that it was important for policy-mconsider GDP and DM when making decision on strategic tourism management. In conclusion, first, gross domestic product was found to have a statistically significant effect on rural tourism demand. Second, avian influenza was found to have a statistically negative effect on rural tourism demand. The results of this study can be used to establish a reasonable rural tourism policy in the future economic dimension.

• 수산경영론집
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• 제48권2호
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• pp.19-32
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• 2017

The purpose of this study is to identify problems and suggest improvements of estimating procedures and item of fisheries supply-demand statistics served as a basis for the fisheries supply-demand policies. Korea Rural Economic Institute(KREI) and Ministry of Oceans and Fisheries(MOF) respectively publish the fisheries supply-demand statistics. But the reliability of data is low as the statistics of these two organizations are limited and show discrepancy in the numbers. It is therefore difficult to use them as the basic data for policies. Also, an accurate data aggregation is difficult due to following problems in the items of statistics. 1) Problems in estimating route sales and non-route sales of production, 2) adequacy of fishery product yield rate compared to raw material in the fisheries import/export sector, 3) selection of target companies for understand stocks and survey scope of fish species, 4) applying'0'to non-edible product demand etc. In order to develop the fisheries industry as a future growth industry, it is necessary to establish the accurate fisheries supply-demand policy as the instability of fisheries supply and demand is increasing. To do this, statistical reliability has to be improved. The improvements proposed in this study should be implemented considering urgency. First of all, an exhaustive analysis of stock statistics and conversion rates of raw material yield in the fisheries import/export sector should be conducted. In the medium term and the long term, transferring production statistics to MOF and surveys on the use demand of non-food product and the level of reduced and discarded seafood products should be carried out in consecutive order.

• Journal of Information Technology Applications and Management
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• 제21권4_spc호
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• pp.431-447
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• 2014

Demand of spectrum resource is tremendously increasing and this trend will continue as more IT services such as cloud computing, smart devices, Internet of Things are provided through wireless network. Recent development of spectrum sharing technology has drawn attention to spectrum policy makers as a promising way to overcome the expected spectrum shortage problem. However, technology-based solution to spectrum shortage problem may not be sustainable since the solution affect only one aspect of spectrum sharing ecosystem. To understand the whole picture of spectrum shortage problem, policies to vitalize spectrum sharing ecosystem were proposed based on the analysis of System Dynamics causal map in the previous study. This study compares and analyzes the effect of those proposed vitalization policies by using System Dynamics simulation. Among seven alternative policies, combined application of demand acceleration policy and technology development policy was found to be more effective for better utilization of spectrum. The effect of demand acceleration policy was offset when other policies are applied together except supply acceleration policy which shows better spectrum sharing.

• 한국산림과학회지
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• 제106권3호
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• pp.340-352
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• 2017

제5차 산림기본계획은 2008년부터 2017년까지의 10년 단위 계획으로, 2013년에 대외환경 변화 등의 이유로 변경되었다. 본 연구에서는 산림기본계획에 대한 거시적 평가를 위해 빅데이터 분석을 활용하여 연도별 정책 수요와 공급의 간극을 파악하였다. 정책수요 부분은 당해 연도의 뉴스, SNS 등에서 언급된 사업과 관련된 키워드(명사 기준)를 기준으로 하고, 정책 공급 부문은 산림청이 발행한 문서를 기준으로 하여 비정형 데이터를 수집하였다. 수집한 자료는 사회연결망 분석(social network analysis)을 활용하여 네트워크 구조를 특정하고, 수요 측면의 네트워크와 공급 측면의 네트워크를 비교하여 산림청 정책 수요와 공급의 간극을 확인한다. 분석 결과, 공급부문의 네트워크 구조는 수요 부문보다 방사형이 약한 것으로 나타나 산림 이외에 다양한 주제어가 네트워크에서 상당한 영향력을 행사하고 있는 것으로 판단되었다. 또한 27대 대표사업들을 대응한 33개 주제어에 대해 수요부문과 공급부문의 기울기를 비교한 결과, 수요는 증가하지만 공급이 감소하는 주제어의 개수는 7개로 지속가능, 산림경영, 산림생물, 산림보호, 산림병해충, 도시숲, 북한이 해당되었다. 이들 주제어는 수요와 공급의 간극이 확인된 만큼, 제6차 기본계획에서는 이들 주제어에 대한 공급 강화가 필요하며, 자유게시판 분석을 통하여 신규 임업인에 대한 정보 제공 및 교육 강화도 포함되어야 할 것으로 나타났다.

• 에너지공학
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• 제25권2호
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• pp.37-44
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• 2016

2차 에너지인 전력은 다양한 연료를 발전원으로 하고 있기 때문에, 전력에 대한 수요는 에너지 각 부문에 적지 않은 영향을 미친다. 이에 본 논문에서는 전력수요함수를 추정하여 가격탄력성 및 소득탄력성에 대한 정량적 정보를 도출하고자 한다. 이를 위해 1991년부터 2014년까지의 연간 시계열 자료를 이용하되, 탄력성을 단기와 장기를 구분하여 추정할 수 있는 내생시차변수모형을 적용한다. 종속변수로는 연간 전력수요, 독립변수로는 상수항, 전력실질가격, 실질 국내총생산의 3가지를 이용한다. 분석결과 단기 가격탄력성 및 소득탄력성은 각각 -0.142 및 0.866으로 추정되었으며 유의수준 5%에서 통계적으로 유의하다. 즉 전력수요는 단기적인 관점에서 가격 변화에 대해 비탄력적임과 동시에 소득 변화에 대해서도 비탄력적이다. 장기 가격탄력성 및 소득탄력성을 추정한 결과를 살펴보면 각각 -0.210 및 1.287이며 이 값은 유의수준 5%에서 통계적으로 유의하다. 장기적인 관점에서 보더라도 전력수요는 가격 변화에 대해 여전히 비탄력적인 반면에, 소득 변화에 대해서는 전력수요가 탄력적으로 변한다. 따라서 가격정책 위주의 수요관리정책은 단기 및 장기 모두 효과가 제한적이며, 향후 예상되는 소득 증가에 기인하는 전력수요의 증가는 단기보다는 장기에 보다 두드러질 것으로 예상된다.

• 산업경영시스템학회지
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• 제19권37호
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• pp.111-115
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• 1996

This study is to decide each level ordering policy for deterministic demand in multilevel distribution system. The ordering policy is used the combinations of EOQ and LTC. The combinations of EOQ and LTC are 4 cases. Case 1 : Regional Warehouse∼EOQ, Central Warehouse∼EOQ. Case 2 : Regional Warehouse∼EOQ, Central Warehouse∼LTC. Case 3 : Regional Warehouse∼LTC, Central Warehouse∼EOQ. Case4 : Regional Warehouse∼LTC, Central Warehouse∼LTC. The criterion is to minimize total cost per year.

• 대한산업공학회지
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• 제6권1호
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• pp.23-26
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• 1980

When the number of stockable item types is too large in certain large scale inventory operations, it is important to classify and screen out the items that need not be stocked; and for the low demand or high cost items, it may be preferable to use one-for-one-ordering policy. In this paper, the problem is formulated in somewhat easier terms, and a criterion is developed that can be used in deciding what items not to stock.