• Title/Summary/Keyword: optimal price

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An Integrated Epidemiological and Economic Analysis of Vaccination against Highly Pathogenic Porcine Reproductive and Respiratory Syndrome (PRRS) in Thua Thien Hue Province, Vietnam

  • Zhang, Haifeng;Kono, Hiroichi;Kubota, Satoko
    • Asian-Australasian Journal of Animal Sciences
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    • v.27 no.10
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    • pp.1499-1512
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    • 2014
  • The purposes of this study are to assess pig farmers' preference for highly pathogenic porcine reproductive and respiratory syndrome (PRRS) vaccine, and estimate the cost and benefit of PRRS vaccination in Vietnam. This study employed an integrated epidemiological and economic analysis which combined susceptible-infectious-recovered (SIR) model, choice experiment (CE) and cost-benefit analysis (CBA) together. The result of SIR model showed the basic reproduction number ($R_0$) of PRRS transmission in this study is 1.3, consequently, the optimal vaccination percentage is 26%. The results of CE in this study indicate that Vietnam pig farmers are showing a high preference for the PRRS vaccine. However, their mean willingness to pay is lower than the potential cost of PRRS vaccine. It can be considered to be one of the reasons that the PRRS vaccination ratio is still low in Vietnam. The results of CBA specified from the whole society's point of view (Social perspective), the benefits of PRRS vaccination are 2.3 to 4.5 times larger than the costs. To support policy making for increasing the PRRS vaccination proportion, this study indicates two ways to increase the vaccination proportion: i) decrease vaccine price by providing a subsidy, ii) provide compensation of culling only for PRRS vaccinated pigs.

A Design and Implementation of Customer Oriented Intelligent Shopping Mall System (고객 지향 지능형 쇼핑몰 시스템의 설계 및 구현)

  • 박성진;임한규;김현기
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2003.10a
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    • pp.699-702
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    • 2003
  • Most of current shopping malls do not satisfy everyone because they present arrangements of goods and suggestions uniformly and comprehensively according to the thinking of their managers. On the other hand not the standard of selection but the comparison of price plays a decisive role of the purchase of goods as similar form each other. When classifying into groups according to generations, gender, income, job, hobby, etc. the propensity of purchase is showed differently and the interest and real purchasing power of the individual is different in shopping malls. It also will maximize the purchasing power of customers to make and implement the sales strategy more quickly as the basis of fashion and season of environmental factors and natural calamity of environmental variable according to the economic principle. This paper concentrates on the design and implementation of intelligent shopping mall that is added the sales strategy according to environmental variable and can not only analysis, update and classify the propensity of purchase continuously but also construct optimal goods automatically.

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Analysis for the Improvement of the Small-Scale Project Design-Supervision Separating System (소규모 프로젝트의 설계-감리분리 제도 개선 분석)

  • Lee, Da-Un;Yun, Seok-Heon
    • Journal of the Korea Institute of Building Construction
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    • v.16 no.5
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    • pp.447-453
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    • 2016
  • Recently, the design and supervision separating system has have been widely adopted in Korea. In this system, the owner should exclude the architect who designed the building from supervisor in the same project. The design and supervision separating system has advantage of less fraudulent construction and weakness of design intention reflection difficulty in construction stage. In this study, the status, problems and solutions of this system are identified from expert survey and interview. The main results of this study are as follows. First, the work scope of designer and supervisor should be clear and the guidelines for this system should be clearly defined. Second, the optimal price for the work scope should be guaranteed. Also, the education program for the improvement of supervisor capability should be provided.

Constructability Analysis of Green Columns at the Low Bending Moment Zone

  • Lee, Sung-Ho;Park, Jun-Young;Lim, Chae-Yeon;Kim, Sun-Kuk
    • Journal of Construction Engineering and Project Management
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    • v.3 no.4
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    • pp.12-19
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    • 2013
  • Green Frame is an environmentally friendly column-beam system composed of composite PC members that can increase buildings' life spans while reducing resource consumption. Typically, connections of PC and RC columns occur at the boundaries of each floor, which is at the upper section of slabs, causing the boundary of each floor to generate the maximum moment. Although it is not optimal in terms of structural safety to connect members at a location where the moment is high, this approach is highly adopted due to its constructability. We propose that a superior approach that employs the concept of connecting columns at the low bending moment zone can be applied to quickly and safely install green columns, the main structural members of Green Frame. Connection of green columns at the low bending moment zone can be classified into three techniques, depending on the method of reinforcing the joints, which have different connection characteristics and construction methods. Research is needed to compare the features of each method of reinforcing the joints so that the most appropriate column connection method can be chosen for the site conditions. This study aims to confirm the structural safety of the connection component at the low bending moment zone and to compare and analyze the construction duration, unit price, quality and safety performance of each column connection method. The study results are anticipated to activate the use of composite precast concrete and to be used as development data in the future.

Utilization of Soil Resources for Maximum Production of Food Grains (식량 최대생산을 위한 토양자원 이용)

  • Sin Je Seong;Kim Lee Yeol
    • Proceedings of the Korean Society of Crop Science Conference
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    • 1999.11a
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    • pp.145-167
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    • 1999
  • Our self-sufficiency of food has become less than $30{\%}$ and our nation is highly dependant on world's grain market for food. which is unstable in long term due to the world population growth faster than food production. Therefore, it is a great possibility that food might become a political weapon by way of its global shortage. its purchasing difficulty in international free trade market. and the resultant price rising. Our maximal capability of food production has become the most outstanding problem in the dimension of future food security. It would be the utmost scheme for maximal production of food to realize the maximal utilization of arable land through the enlargement of sufficient farming land and the conversion of rotation system for the more grain production. Extensional enlargement of arable land can be positively executed through the development of farming land in domestic and abroad countries. The readjustment of arable land and the installation or irrigation and drainage system can enforce the farming basement for maximal utilization of arable land through the improved rotation between paddy and upland. The prevention policy against farming land encroachment should be strictly executed through grain production encouragement on resting or marginal lands and regulation of utilization conversion for the other than food production on high grade farming lands. It is also required urgently to develope high yielding and high quality varieties through advanced genetic technology for the improvement of unit area yield, especially of wheat, corn. and soybean we import in large quantity The maximal utilization of arable land for the highest production of food can be realized through rational rotation system, the most adaptable crop cultivation on the suitable land, and the most optimal fertilization through the GIS analysis of agricultural environment information on the basis of the computerized soil resource data on super detailed soil maps(1:5000) surveyed plot by plot of whole nation.

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The Effect of Tiered Copayment System on Pharmacy Benefit Expenditure of National Health Insurance in Korea: Scenario Analysis based on the Use of Oral Antidiabetic Medications (선택약가제도가 건강보험 약품비 지출에 미치는 영향: 경구용 당뇨병 치료제를 대상으로 한 시나리오 분석)

  • Kim, Nam Hyo;Choi, Kyung Eob;Sohn, Hyun Soon;Shin, In Chul;Shin, Hyun Taek
    • Korean Journal of Clinical Pharmacy
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    • v.24 no.2
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    • pp.126-134
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    • 2014
  • Purpose: This study was aimed to examine the financial effect of 2-tiered copayment system on annual expenditure of pharmacy benefit in the National Health Insurance (NHI) of Korea, focusing on oral antidiabetic medications. Methods: 284 oral antidiabetic products with 14 different active single ingredients listed in the National Formulary of NHI (August 2009) were assigned to tier 1 or tier 2 according to the selected criteria. 10 different combinations of coinsurance rates were selected to estimate the changes in drug expenditure cost of NHI. Results: The annual drug cost was estimated based on the drug price per unit listed in the National Formulary and the used amount of products in 2009 from the IMS Health data of Korea. In the combinations of coinsurance rate of 20% for tier 1 and 40% for tier 2, the total annual drug cost was estimated to be reduced by 1.3% in the case of no change of generic and original drug consumptions, and to be reduced by 4.3% in the case of 10% increased generic drug consumptions. Conclusion: The tiered copayment system with optimal coinsurance rates appears to be a potential strategy to reduce the financial burden of NHI in Korea by promoting the use of generic products.

A Study on the Design Technique of Linear Actuator by using CAE System (전산응용설계 시스템을 이용한 리니어 액츄에이터의 설계기법 고찰)

  • 이권헌;조제황;조경재;오금곤;김영동
    • The Proceedings of the Korean Institute of Illuminating and Electrical Installation Engineers
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    • v.11 no.1
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    • pp.106-113
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    • 1997
  • In this paper, we introduce the design method using CAE(Computer Aided Engineering) which is profitable in the compatibility and standardization of the developed product and in the reduction of construction time and price to develop and design a machine equipment. Particularly, we select the standard model to design ot develop from the large machinery to the super precision one, extract the peculiar characters of the model by the close analysis of the physical and technical part, can predict the previous result of experimental characteristics on objective dimensions through the analogical mathematical analysis, and can induce the design model demanded by user investigating optimal data in advance. We present the analogical algorithms and process method of design factors and restriction factors in the systematization design with computer. Then we analyze step functions for each systematization equipment and induce the process of technical data with actuator model.

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Optimization of Integrated District Heating System (IDHS) Based on the Forecasting Model for System Marginal Prices (SMP) (계통한계가격 예측모델에 근거한 통합 지역난방 시스템의 최적화)

  • Lee, Ki-Jun;Kim, Lae-Hyun;Yeo, Yeong-Koo
    • Korean Chemical Engineering Research
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    • v.50 no.3
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    • pp.479-491
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    • 2012
  • In this paper we performed evaluation of the economics of a district heating system (DHS) consisting of energy suppliers and consumers, heat generation and storage facilities and power transmission lines in the capital region, as well as identification of optimal operating conditions. The optimization problem is formulated as a mixed integer linear programming (MILP) problem where the objective is to minimize the overall operating cost of DHS while satisfying heat demand during 1 week and operating limits on DHS facilities. This paper also propose a new forecasting model of the system marginal price (SMP) using past data on power supply and demand as well as past cost data. In the optimization, both the forecasted SMP and actual SMP are used and the results are analyzed. The salient feature of the proposed approach is that it exhibits excellent predicting performance to give improved energy efficiency in the integrated DHS.

Econometric Study on Forecasting Demand Response in Smart Grid (스마트그리드 수요반응 추정을 위한 계량경제학적 방법에 관한 연구)

  • Kang, Dong Joo;Park, Sunju
    • KIPS Transactions on Computer and Communication Systems
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    • v.1 no.3
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    • pp.133-142
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    • 2012
  • Cournot model is one of representative models among many game theoretic approaches available for analyzing competitive market models. Recent years have witnessed various kinds of attempts to model competitive electricity markets using the Cournot model. Cournot model is appropriate for oligopoly market which is one characteristic of electric power industry requiring huge amount of capital investment. When we use Cournot model for the application to electricity market, it is prerequisite to assume the downward sloping demand curve in the right direction. Generators in oligopoly market could try to maximize their profit by exercising the market power like physical or economic withholding. However advanced electricity markets also have demand side bidding which makes it possible for the demand to respond to the high market price by reducing their consumption. Considering this kind of demand reaction, Generators couldn't abuse their market power. Instead, they try to find out an equilibrium point which is optimal for both sides, generators and demand. This paper suggest a quantitative analysis between market variables based on econometrics for estimating demand responses in smart grid environment.

Smart IoT Home Data Analysis and Device Control Algorithm Using Deep Learning (딥 러닝 기반 스마트 IoT 홈 데이터 분석 및 기기 제어 알고리즘)

  • Lee, Sang-Hyeong;Lee, Hae-Yeoun
    • KIPS Transactions on Computer and Communication Systems
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    • v.7 no.4
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    • pp.103-110
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    • 2018
  • Services that enhance user convenience by using various IoT devices are increasing with the development of Internet of Things(IoT) technology. Also, since the price of IoT sensors has become cheaper, companies providing services by collecting and utilizing data from various sensors are increasing. The smart IoT home system is a representative use case that improves the user convenience by using IoT devices. To improve user convenience of Smart IoT home system, this paper proposes a method for the control of related devices based on data analysis. Internal environment measurement data collected from IoT sensors, device control data collected from device control actuators, and user judgment data are learned to predict the current home state and control devices. Especially, differently from previous approaches, it uses deep neural network to analyze the data to determine the inner state of the home and provide information for maintaining the optimal inner environment. In the experiment, we compared the results of the long-term measured data with the inferred data and analyzed the discrimination performance of the proposed method.