• Title/Summary/Keyword: Service Demand Forecasting

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A Study on the Demand Pattern Analysis of Fixed Mobile Convergence Telecommunication Service (유.무선 컨버전스 서비스 수요 Pattern에 관한 연구)

  • Bae, Khee-Su;Sawng, Yeong-Wha
    • Korean Management Science Review
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    • v.23 no.3
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    • pp.1-11
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    • 2006
  • This study investigates empirically on the business analysis of fixed mobile convergence telecommunication service. As for the stage of empirical analysis, the process was carried out in the order elaboration of a test model, selection of sample, empirical analysis and interpretation of result. We report our Preliminary results on the fixed mobile convergence telecommunication service demand pattern forecasting by Bass model. The results show that the fixed mobile convergence telecommunication service may sustain profitability over the next ten years in the market. In conclusion, the practical implication of the result attained by this study is that in order to create a fixed mobile convergence in the korean business world, practical tools such as WiBro service is no less important than fixed service and Mobile service, and that users may be rightfully encouraged to adopt WiBro service.

A Study on the User Demand Forecasting and Improvement Plan of Gimpo City Library Service

  • Noh, Younghee;Chang, Inho;Kang, Ji Hei;Chang, Rosa
    • International Journal of Knowledge Content Development & Technology
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    • v.10 no.4
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    • pp.7-27
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    • 2020
  • With accommodation of a population of many young people and families due to Hangang River New Town Housing Project and development of railway station spheres, a need is increasing to improve the quality of public libraries service for Gimpo citizens and to establish more libraries. This study thus analyzed the book lending data of Gimpo City libraries, and the city's libraries-related social media big data in an effort to forecast the users, and thus to propose four library service improvement measures. First, in terms of book gathering and book development policy plans, a proposal was made to expand good books for children and youth, and to expand general original-language books related to learning of English, and English books for children. Second, in terms of the establishment of additional libraries or specialization strategy, a proposal was made to establish exclusive children's libraries or English libraries, and to establish library specialization strategy with a focus on children and English themes. Third, in terms of library culture programs, a proposal was made to provide library culture programs in relation to children education and to expand weekend library culture programs. Fourth, in terms of library facilities, considering the convenience of parking facilities, a proposal was made to establish libraries near apartment complexes.

A Study on Use Behavior and Demand Forecasting of Legislative Information Service for the Member of the National Assembly (국회의원의 입법정보 이용행태와 수요예측에 관한 연구)

  • Cho, Jeong-Kwon;Bae, Kyung-Jae
    • Journal of the Korean Society for Library and Information Science
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    • v.50 no.3
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    • pp.155-169
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    • 2016
  • The purpose of this study is to find a policy and to predict the needs of legislative information service of the 20th National Assembly. For this purpose, It is critical to understand the use behavior of legislative information service according to the attribute for the member of the 19th National Assembly. Thus, this study examined the results of reference service of National Assembly Library of Korea using the politics attribute and the relation attribute as independent variables for the member of the National Assembly in the First Half of the 19th National Assembly. Consequently, there were meaningful differences in the use of legislative information service between users by party affiliation, method of an election and introversion. Also, the increased demand of legislative information service was predicted in that the 20th National Assembly is the status of the opposition majority and the three major parties.

A Design and Development of Part Management System including Capabilities from Data Management to Order Management (데이터 관리에서 발주 관리까지 기능을 포함하는 부품 관리 시스템의 설계와 개발)

  • Rhee, Young
    • Journal of Korean Society of Industrial and Systems Engineering
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    • v.35 no.1
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    • pp.47-56
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    • 2012
  • Service Parts Management is defined as a supply management associated with service parts from the part suppliers to the final customer. A series of process to improve the customer service level by forecasting the demand and to minimize cost by maintaining the inventory level is included. Uniqueness such as missing value correction, the data pattern analysis and planned order system is designed and implemented. Main feature of order management system is to calculate order amount and order time based on selection of optimal forecasting algorithm.

A Strategy Based on Revenue Management for Revenue Increase in Hospital Health Promotion Center (수익경영 기반 종합건강검진센터 수익 증대 전략)

  • Han, Yun;Lee, Jae-June
    • Korea Journal of Hospital Management
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    • v.15 no.1
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    • pp.13-26
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    • 2010
  • A Health Promotion Center (HPC) whose capacity is partially idle causes inefficiency in resource usage of a country as well as the hospital itself. Meanwhile, Increased demand in HPC would lead to increased revenue for the HPC as well as reduced national expenditures on healthcare. We introduced a way to enhance revenue by Revenue Management (RM) on HPC services, in which demand forecasting and pricing strategies are considered. In addition, a real data analysis had been performed to evaluate the usefulness of the proposed approach.

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A Study on forecasting of the Transportation Demand Mungyeng Line (문경선 운영 재개에 따른 이용수요 예측 연구)

  • Kim, Ick-Hee;Lee, Kyung-Tae
    • Proceedings of the KSR Conference
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    • 2008.11b
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    • pp.638-644
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    • 2008
  • Mungyeng line(Jupyung${\sim}$Mungyeng) was closed due to a rapid decrease in demand in 1995. However, as the rail transportation demand is expected to increase with the plan to develop a tourist resort and a traffic network in Mungyeng area, it is required to forecast future demand to meet the change of transportation environment in this region. This study predicts the rail transportation demand and analyzes financial benefit in operator's side in case of reopening this line, based on nation-wide traffic volume data from Korean Transportation Database(KTDB). The results of this research can be applied to not only establishing a train operation plan also improving customer service. Moreover, Korail will have an opportunity to develop new business by linking train service to tourist attractions around the Mungyeng area.

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A Study on a Forecasting the Demand for the Future Mobile Communication Service by Integrating the Mobile Communication Technology (이동통신기술과의 연관성을 고려한 차세대 이동통신서비스의 수요예측에 관한 연구)

  • 주영진;김선재
    • Journal of the Korean Operations Research and Management Science Society
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    • v.29 no.1
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    • pp.87-99
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    • 2004
  • In this paper, we have developed a technology-service relationship model which describes the diffusion process of a group of services and relevant technologies, and have applied the developed model to the prediction of the number of subscribers to the next generation mobile service. The technology-service relationship model developed in this paper incorporates the developing process of relevant technologies, a supply-side factor, into the diffusion process of specific services, while many diffusion models and multi-generation diffusion models in previous researches are mainly reflect the demand-side factors. So, the proposed model could effectively applied to the telecommunication services where the developing of the relevant technologies are very essential to the service Penetration. In our application, the Proposed model provides a competitive substitution between the next generation mobile service and the traditional mobile service.

Bidding Strategics in Competitive Electricity Market (경쟁시장에서 입찰전략 수립에 관한 연구)

  • Ko, Young-Jun;Lee, Hyo-Sang;Shin, Dong-Jun;Kim, Jin-O
    • Proceedings of the KIEE Conference
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    • 2001.07a
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    • pp.550-552
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    • 2001
  • The vertically integrated power industry was divided into six generation companies and one market operator, where electricity trading was launched at power exchange. In this environment, the profits of each generation companies are guaranteed according to utilization of their own generation equipments. Especially, the electricity demand shows seasonal and weekly regular pattern, which the some capacity should be provided into ancillary service based on the past demand forecasting error and operating results of electricity market. Namely, if generation cost function is applied to SMP and BLMP as announced the previous day, the available generation capacity of the following day could be optimally distributed, and therefore contract capacity of ancillary service applied to CBP(Cost Based Pool) and TWBP(Two-Way Bidding Pool) is determined. Consequently, it is Possible to use the retained equipments optimally. This paper represents on efficient bidding strategies for generation equipments through the calculation of the contract and the application of each generator cost function based on the past demand forecasting error and market operating data.

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A study on a forecasting the demand for the future mobile communication service by integrating the mobile communication technology (이동통신기술과의 연관성을 고려한 차세대 이동통신서비스의 수요예측에 관한 연구)

  • 주영진;김선재
    • Proceedings of the Korean Operations and Management Science Society Conference
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    • 2003.11a
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    • pp.74-78
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    • 2003
  • In this paper, we have developed a technology-service relationship model which describes the diffusion process of a group of services and relevant technologies, and have applied the developed model to the prediction of the number of subscribers to the next generation mobile service. The technology-service relationship model developed in this paper incorporates the developing process of relevant technologies, a supply-side factor, into the diffusion process of specific services, while many diffusion models and multi-generation diffusion models in previous researches are mainly reflect the demand-side factors. So, the proposed model could effectively applied to the telecommunication services where the developing of the relevant technologies are very essential to the service penetration. In our application, the proposed model provides a competitive substitution between the next generation mobile service and the traditional mobile service.

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Machine Learning-based hydrogen charging station energy demand prediction model (머신러닝 기반 수소 충전소 에너지 수요 예측 모델)

  • MinWoo Hwang;Yerim Ha;Sanguk Park
    • Journal of Internet Computing and Services
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    • v.24 no.2
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    • pp.47-56
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    • 2023
  • Hydrogen energy is an eco-friendly energy that produces heat and electricity with high energy efficiency and does not emit harmful substances such as greenhouse gases and fine dust. In particular, smart hydrogen energy is an economical, sustainable, and safe future smart hydrogen energy service, which means a service that stably operates based on 'data' by digitally integrating hydrogen energy infrastructure. In this paper, in order to implement a data-based hydrogen charging station demand forecasting model, three hydrogen charging stations (Chuncheon, Sokcho, Pyeongchang) installed in Gangwon-do were selected, supply and demand data of hydrogen charging stations were secured, and 7 machine learning and deep learning algorithms were used. was selected to learn a model with a total of 27 types of input data (weather data + demand for hydrogen charging stations), and the model was evaluated with root mean square error (RMSE). Through this, this paper proposes a machine learning-based hydrogen charging station energy demand prediction model for optimal hydrogen energy supply and demand.