• Title/Summary/Keyword: Demand-Supply Model

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Network Modeling of Paddy Irrigation System using ArcHydro GIS - ANGO Agricultural Water District - (ArcHydro를 이용한 GIS기반의 관개시스템 네트워크 모델링 - 안고농촌용수구역을 대상으로 -)

  • Park, Geun-Ae;Park, Min-Ji;Jang, Jung-Seok;Kim, Seong-Joon
    • Journal of the Korean Association of Geographic Information Studies
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    • v.10 no.1
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    • pp.73-83
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    • 2007
  • Network modeling of irrigation system that links irrigation facilities with stream is necessary to establish complicated rural water management system and to manage agricultural water effectively. This study attempted a network modeling for an agricultural water district called "ANGO" located in Anseongcheon watershed by connecting ArcHydro Model developed to control geographical information data in the field of water resources and AWDS(Agricultural Water Demand & Supply Estimation System) developed by KRC (Korea Rural Community & Agriculture Corporation). Network modeling was embodied by build topology between spatial objects of total 70 agricultural irrigation facilities (24 reservoirs, 18 pumping stations, 28 weirs) and stream network using ArcHydro Model. In addition, new menus were added in ArcGIS system for query and visualization of text-based AWDS outputs such as irrigation facilities information, water demand and supply analysis.

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The Development of Simulator for Supply Chain Design and Planning (공급사슬 설계 및 계획을 위한 시뮬레이터 개발)

  • Suk Jae Jeong;Kyung Sup Kim
    • Journal of the Korea Society for Simulation
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    • v.12 no.4
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    • pp.1-15
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    • 2003
  • To satisfy and respond quickly to customers' demand, many companies are now aggressively focusing on supply chain management in order to strengthen their competitiveness. The modeling and analysis of supply chain environment have been widely studied. This study is concerned with the development of supply chain simulator which deals with stochastic natures existing in the supply chain environment. We proposed the mathematical model for the efficient cost analysis and developed the supply chain simulator based on the proposed mathematical model with object-oriented language C++. The simple experiment which find the best combination of policies considering the whole cost shows the possibility and reasonability of the developed simulator.

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Identifying Supply-demand Relationships on Ecosystem Services Using Socio-ecological Approach in Gyeong-gi Province (사회-생태계 이론을 활용한 경기도 지역 생태계서비스 공급-수요관계 분석)

  • Park, Yoon-Sun;Kim, Choong-Ki;Lee, Jae-Hyuck;Song, Young-Keun;Hong, Hyun-Jeong
    • Journal of Korean Society of Rural Planning
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    • v.27 no.3
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    • pp.35-46
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    • 2021
  • Ecosystem services play a role in promoting sustainable development by contributing to human welfare. For sustainable development, a balance between supply and demand for ecosystem services must be made. In this regard, in this study, factor analysis was performed using the results of measuring ecosystem services for the supply of ecosystem services and national statistical data representing socio-economic factors for demand for ecosystem services The results of analysis for Gyeong-gi Province are as follows. The service supply based on the result of ecosystem services was divided into the mixed service provisioning as factor1, the food provisioning as factor2, and the P retention service provisioning area as factor3. As for the demand for services based on socio-economic factors, factor1 is divided into urbanized areas, factor2 is forest development area, and factor3 is agricultural activity development area. Local governments that maintain balance were evaluated as Pocheon, Yangpyeong, Icheon, Pyeongtaek, Goyang, Suwon, Gwangmyeong, and Osan, and imbalanced local governments appeared in Gimpo, Uiwang, Anseong, and Yeoju. A management plan to maintain the balance between supply and demand of ecosystem services was suggested. The analysis method and results of this study are expected to be applicable to various local governments through regional expansion.

A Long-term Replenishment Contract for the ARIMA Demand Process (ARIMA 수요자정을 고려한 장기보충계약)

  • Kim Jong Soo;Jung Bong Ryong
    • Proceedings of the Society of Korea Industrial and System Engineering Conference
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    • 2002.05a
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    • pp.343-348
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    • 2002
  • We are concerned with a long-term replenishment contract for the ARIMA demand process in a supply chain. The chain is composed of one supplier, one buyer and consumers for a product. The replenishment contract is based upon the well-known (s, Q) policy but allows us to contract future replenishments at a time with a price discount. Due to the larger forecast error of future demand, the buyer should keep a higher level of safety stock to provide the same level of service as the usual (s, Q) policy. However, the buyer can reduce his purchase cost by ordering a larger quantity at a discounted price. Hence, there exists a trade-off between the price discount and the inventory holding cost. For the ARIMA demand process, we present a model for the contract and an algorithm to find the number of the future replenishments. Numerical experiments show that the proposed algorithm is efficient and accurate.

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Development of Methodology on Inventory Control for the Supply Support System (보급지원체제 재고통제 방법론의 개발)

  • Rho Sin-Young
    • Journal of the military operations research society of Korea
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    • v.3 no.2
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    • pp.79-89
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    • 1977
  • The purpose of this thesis is to overcome the shortcomings of the existing system which lacks cost-conciousness and does not consider the essentiality or the importance of an item, and to seek the method of providing effective, efficient and economic supply which is the objective of the military inventory management. Selective management technique and lot size model whose demand, and order and shipping time are distributed, are intorduced, and required distributions and parameters are analyzed. Finally hypothetical data are utilized to obtain the model output, which are compared with the existing model and analyzed.

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The Pricing of Electricity through the ESPM (ESPM을 이용한 전력가격의 결정)

  • 이석규;변영덕
    • Journal of the Korean Operations Research and Management Science Society
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    • v.27 no.4
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    • pp.11-27
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    • 2002
  • This paper is aimed at surveying the method that supports logical and theoretical back grounds of electricity service pricing, to investigate whether the ESPM can reflect comprehensively the various interests of parties and persons concerned with electricity supply and demand, and analyzing the practical applicability of the model in short-term perspectives. The major findings of this study can be summarized as fellows. First, the ESPM explains what process the equilibrium price is attained through, which is the essential concept and object in evaluating the value of public enterprises or utilities and the price of electricity Second, the ESPM provides the logics and methods that can objectify the discrete price by each electricity user. Third, the ESPM presents theoretical logics and practical methods that can calculate the basic price and the variable price per electricity unit which are key concepts in the two-part tariff. Fourth, the ESPM has powerful practical applicabilities in the reasonable electricity pricing and in the explanation for the balance between parties and persons interested with electricity supply and demand.

Comparison and discussion of MODSIM and K-WEAP model considering water supply priority (공급 우선순위를 고려한 MODSIM과 K-WEAP 모형의 비교 및 고찰)

  • Oh, Ji-Hwan;Kim, Yeon-Su;Ryu, Kyong Sik;Jo, Young Sik
    • Journal of Korea Water Resources Association
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    • v.52 no.7
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    • pp.463-473
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    • 2019
  • This study compared the characteristics of the optimization technique and the water supply and demand forecast using K-WEAP (Korea-Water Evaluation and Planning System) model and MODSIM (Modified SIMYLD) model considering wtaer supply priority. Currently, The national water resources plan applied same priority for municipal, industrial and agricultural demand. the K-WEAP model performs the ratio allocation to satisfy the maximum satisfaction rate, whereas the MODSIM model should be applied to the water supply priority of demands. As a result of applying the priority, water shortage decreased by an average of $1,035,000m^3$ than same prioritized results. It is due to the increase of the return flow rate as the distribution of Municipal and industrial water increases. Comparing the analysis results of K-WEAP and MODSIM applying the priorities, the relative error was within 5.3% and the coefficient of determination ($R^2$) was 0.9999. In addition, if both models provide reasonable water balance analysis results, K-WEAP is superior to GUI convenience for model construction and data processing. However, MODSIM is more effective in simulation time efficiency. It is expected that it will be able to carry out analysis according to various scenarios using the model.

Prospective Supply and Demand of Medical Technologists in Korea through 2030 (임상병리사 인력의 수급전망과 정책방향)

  • Oh, Youngho
    • Korean Journal of Clinical Laboratory Science
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    • v.50 no.4
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    • pp.511-524
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    • 2018
  • The purpose of this study is to provide policy recommendations for manpower planning by forecasting the supply and demand of Medical Technologists. Supply was estimated using an in-and-out movement method with a demographic method based on a baseline projection model. Demand was projected according to a demand-based method using the number of clinico-pathologic examinations taken for Medical Technologists. Over- or undersupply of Medical Technologists will depend on the productivity scenario and assumptions and ultimately on governmental policy direction. In other words, whether the production of Medical Technologists is higher or lower than the current level depends on the government policy to consider insurance finances. In this study, we assessed 'productivity scenario 3' based on the productivity as of 2012, when the government's policy direction was not considered. Based on the demand scenario using the ARIMA model, the supply of Medical Technologists is expected to be excessive. This oversupply accounts for less than 10% of the total and therefore should not be a big problem. However, given that the employment rate of Medical Technologists is 60%, it is necessary to consider policies to utilize the unemployed. These measures should expand the employment opportunities for the unemployed. To this end, it is necessary to strengthen the functions of laboratories in the public health center, to increase the quota of Medical Technologists, to assure their status, to establish a permanent inspection system for outpatient patients, and to expand the export of Medical Technologists overseas.

Development of a Simulation Model for Housing Market Policy Considering Demand-Supply Shift between Sales and Rental Market

  • Yoon, In-Seok;Lee, Hyun-Soo;Park, Moonseo;Lee, Seulbi;Kwon, Byung-Ki
    • International conference on construction engineering and project management
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    • 2017.10a
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    • pp.176-182
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    • 2017
  • The housing market is divided into several sub-markets that operate independently. One of them is the distinction between rental and sales markets. Simultaneously, since the housing is a commodity as well as an asset, it has a close relationship between the rental market and the sales market. Due to the unique structure of Korea, it is difficult to apply the general method to analyze the housing market. This means there is a great deal of concern about side effects from the policy. Actually, the government's subsequent regulation of speculative demand in the future may be necessary to prevent market overheating, but at the same time, there is a fear that the rent will rise. Although changes in policy direction may be inevitable due to changes in market conditions, frequent and sudden changes in policy cause confusion in market participants, causing unrest in the housing market. This study aims to derive main factors and correlation with other housing market factor. These factors will be a base of qualitative housing market model to analyze the market effect of the demand-supply shift. Modeling is based on the system dynamics methodology, which is useful for identifying interactions between variables reflecting various variables in the housing market. The model discussed in this study is expected to provide integrated insight into the key variables of the housing market, away from the monopolistic thinking. It can also be useful as a means of assessing the effectiveness of policies.

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Comparative Analysis of Game-Theoretic Demand Allocation for Enhancing Profitability of Whole Supply Chain (전체 공급망 수익성 개선을 위한 게임이론 기반의 수요 할당 메커니즘의 비교 연구)

  • Shin, Kwang Sup
    • The Journal of Society for e-Business Studies
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    • v.19 no.1
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    • pp.43-61
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    • 2014
  • This research is an application of game theory to developing the supplier selection and demand allocation mechanism, which are the essential and major research areas of supply chain planning and operation. In this research, the most popular and widely accepted mechanism, the progressive reverse auction is analyzed and compared with the other game theoretic approach, Kalai-Smorodinsky Bargaining Solution in the viewpoint of holistic efficiency of supply chain operation. To logically and exquisitely compare the efficiencies, a heuristic algorithm based on Genetic Algorithm is devised to find the other optimal demand allocation plan. A well known metric, profit-cost ratio, as well as profit functions for both suppliers and buyer has been designed for evaluating the overall profitability of supply chain. The experimental results with synthesis data and supply chain model which were made to mimic practical supply chain are illustrated and analyzed to show how the proposed approach can enhance the profitability of supply chain planning. Based on the result, it can be said that the proposed mechanism using bargainging solution mayguarantee the better profitability for the whole supply chin including both suppliers and buyer, even though quite small portion of buyer's profitability should be sacrified.