• 대한전기학회:학술대회논문집
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• 대한전기학회 2005년도 추계학술대회 논문집 전력기술부문
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• pp.151-155
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• 2005

An electricity consumption is closely related to the economic growth structure. The change of economic growth structure affects the pattern of electricity consumption widely and severely. This paper gives that the primary changing factors of electricity growth are economic growth, change of industry structure(the change of electricity consumption ratio in case of residential sector), and the effect of electricity saying. It gives a model to analyze the influence of GDP to the change of electricity consumption patterns by sector through the period of pre and post 1998(IMF, financial crisis) to observe the contribution of each factor to the growth of electricity demand. It is anticipated that this study shows the feasible scheme of economic structure to become the developed country.

• 한국디지털건축인테리어학회논문집
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• 제11권3호
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• pp.17-25
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• 2011

The purpose of this study is basic research for demand forecasting of residence which will form in the new industrial complex. Our industrial complexes are important base of National economic development until 90's. But The industry complexes which confront facility which is old, Maintenance negligence and change of industrial system must change new shape from existing function of industrial complexes. The results of this study are that the present housing using condition are different at ages and Using intentions of staff facility are negative generally. These means that When starting the structure hightening, the utility system provision and public information of residence facilities in industral complex are necessary for workers. So, The key points of industry complex structure hightening are that the accurate recognition about demand and the development of financial support policy for young Income low-end workers do to make advance efficiently.

• 한국지능시스템학회논문지
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• 제11권7호
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• pp.584-590
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• 2001

An inventory management system of manufacturing industry has a model of different kinds according to the objective and the situation. An inventory management system needs superior system technique in demand forecast, economical efficiency, reliability and application for stable supply of the finished goods, the raw materials and the parts. This paper proposes a demand forecast method based on fuzzy structured neural network, which uses min-operation and trapezoid membership function of fuzzy rules. So we can construct an intelligent inventory management system that make optimized decision-making for forecasting data with expert s opinion in fuzzy environment. The inventory management system uses intelligence agent and it could be adapted to a system environment change in order.

• 산업기술연구
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• 제7권
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• pp.3-7
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• 1987

The Urban park plays a significant role as an ideal space for residents. In this sense, Seoul city established a criterion for urban park system according to the park size per person in each district of Seoul. However, that criterion tends not to meet the residents behavioral patterns and interaction dynamics between districts. The objective of this study is to establish the demand forecasting of urban park in Seoul. The result of this study shows that the priority of designating park area is changed greatly when interaction dynamics between districts is taken into account.

• 대한산업공학회지
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• 제31권3호
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• pp.210-218
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• 2005

In the current global business environment, it is very important how to allocate products from the producer to buyers (or distributors). Sometimes some buyers can order more than pertinent demand due to inappropriate forecasting customers' orders. This is the big obstacle to the efficient allocation of products. If the producer can become aware of buyers' pertinent demand, it is possible to realize the high-level order fulfillment through the effective allocation of products. In this study, a new allocation policy is proposed considering buyers' demands. The backpropagation algorithm, one of algorithms in neural network theory, is used to find pertinent demands from the distributors' orders. In the experiment, an allocation policy considering buyers' demands outperforms previous allocation policies.

• 한국경영과학회지
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• 제29권1호
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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.

• 한국경영과학회지
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• 제16권1호
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• pp.45-58
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• 1991

The importance of marketing mix variables, replacement demand, and competition in a new product growth model has been cited by many researchers. In this paper, these factors are integrated with an aim to model company sales of competing durables. Based on the most popular new product growth model, numerous extensions and incorporations of contributions from related research fields are tried. Model parameters are estimated by the Kalman filter. And, the proposed model is applied to the sales of four consumer durable goods. Empirical applications show the benefits, as well as the limitations of the proposed model.

• 경영과학
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• 제10권1호
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• pp.23-39
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• 1993

In this study, potential Communication Satellite Application Services (CSASs) that are suitable for our communication environment have been identified through a detailed analysis of the CSASs offered in advanced countries. The existing demand forecast based on the defined CSAS category has been improved, and the transponder assignment policy has also been recommended. Managerial problems rather than technical ones for KOREASAT project have mainly been addressed and tackled in this study. For the successful implementation of the domestic communication satellite system, these two problems should be solved simultaneously. Therefore, future research that includes technical as well as managerial issues is expected to come out soon.

• 산업경영시스템학회지
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• 제38권1호
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• pp.8-14
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• 2015

In this paper, even though there exist various problems to be solved in SCM field, we focus on problems arising from demand-supply discrepancy and introduce the concept of CPFR (Collaboration Planning Forecasting and Replenishment) as one solution for outstanding problems. Furthermore, by presenting a real CPFR project case between the S Company and V Company, we try to help potential benefactors of CPFR in two aspects : 1) how to implement CPFR, and 2) what they can expect from CPFR.

• 산업경영시스템학회지
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• 제25권2호
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• pp.77-83
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• 2002

본 연구에서는 가솔린 시계열 예측전문가들이 수요를 예측하고, 더 나아가 직감적으로 행하고 있는 보정과정을 자동화하기 위해 신경망을 사용한다. 가솔린 수요 예측분야에서 보정을 위해 사용되는 전형적인 판단요소는 정부 에너지 절약 정책, 에너지 산업의 파업, 공휴일 등이 있다. 주요 추세가 순환신경망에 의해 예측되고 이들 판단요소의 효과가 다층신경망에 의해 탐지되어 보정된다. 가솔린 수요에 대한 실험결과는 보정과정을 갖는 예측구조가 하나의 신경망을 사용하는 예측구조 보다 더 나은 예측력을 보였다. 그리고 본 연구에서 제시한 접근방법이 순환신경망이나 ARIMA 모델을 사용하는 것보다 더 나은 결과를 가졌다.