• Title/Summary/Keyword: Demand analysis

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Low-Income Households' Financial Problems and Demand for Financial Counseling (저소득층가계의 재무문제와 재무상담 수요에 관한 연구)

  • Kim, Sung-Sook
    • Journal of Family Resource Management and Policy Review
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    • v.15 no.2
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    • pp.147-171
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    • 2011
  • The purpose of this study was to examine low-income households' financial problems and the demand for financial counseling. For these purposes, a survey of 500 low-income households was conducted by an on-line survey company. The results were as follows. First, four types of low-income households classified by income and job criteria were: the not-working poorest (16.2%), the working poor (27.0%), the not-working low-income (13.8%), and the working low-income (43.4%). Also, seven areas of financial problems were found through factor analysis. They included difficulty of survival, insufficient funds for special expenditures, defaults on financial obligation, decrease of income, increase of debts, emotional anguish, and difficulty in meeting living expenditures. 61.6% of respondents requested financial counseling, and 44.5% of them preferred internet counseling to counseling by phone or in-person, while 49.5% desired access to public counseling organizations. The five types of financial counseling content for low-income households that were found through factor analysis were financial planning, credit management, asset management/investment, public support, and use of credit cards. The low-income householders demanded financial planning counseling and pubic support counseling more than the other types of financial counseling. Logistic regression analysis revealed that the demand for financial counseling participation was significantly influenced by age and income. The demand for financial counseling content was age, income, and types of financial problems. Therefore, general financial counseling programs for low-income households should be expanded. Furthermore, those counseling programs can be useful if they not only include credit management but also financial planning, economic support information and savings.

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A study on Inventory Policy (s, S) in the Supply Chain Management with Uncertain Demand and Lead Time (불확실한 수요와 리드타임을 갖는 공급사슬에서 (s,S) 재고정책에 관한 연구)

  • Han, Jae-Hyun;Jeong, Suk-Jae
    • Journal of the Korea Safety Management & Science
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    • v.15 no.1
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    • pp.217-229
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    • 2013
  • As customers' demands for diversified small-quantity products have been increased, there have been great efforts for a firm to respond to customers' demands flexibly and minimize the cost of inventory at the same time. To achieve that goal, in SCM perspective, many firms have tried to control the inventory efficiently. We present an mathematical model to determine the near optimal (s, S) policy of the supply chain, composed of multi suppliers, a warehouse and multi retailers. (s, S) policy is to order the quantity up to target inventory level when inventory level falls below the reorder point. But it is difficult to analyze inventory level because it is varied with stochastic demand of customers. To reflect stochastic demand of customers in our model, we do the analyses in the following order. First, the analysis of inventory in retailers is done at the mathematical model that we present. Then, the analysis of demand pattern in a warehouse is performed as the inventory of a warehouse is much effected by retailers' order. After that, the analysis of inventory in a warehouse is followed. Finally, the integrated mathematical model is presented. It is not easy to get the solution of the mathematical model, because it includes many stochastic factors. Thus, we get the solutions after the stochastic demand is approximated, then they are verified by the simulations.

Training Demand Analysis based on National Competency Standards of the Semiconductor Industry (반도체 산업의 국가직무능력표준에 기반한 훈련수요 분석)

  • Lee, Jae-Won;Yoon, Suk-Chun
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.12 no.11
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    • pp.5178-5187
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    • 2011
  • National Competency Standards(NCS) development related researches on the semiconductor industry were carried out partially, but the field training demand survey and analysis using that NCS were not done. The past demand survey for the job skill training had focused on personnel shortage and oversupply so it has the problems called skill mismatch. This study has the purpose to provide an alternative analysis of qualitative evaluation using the relative importance and gap of the job skill elements in the semiconductor industry. As research methods, we carried out related literature and report review, and a job skill demand survey on the semiconductor industry. We analyzed about the industry related jobs and job tasks, the qualitative demand for each job skill elements, and procurement methods for each job skills and manpower. We illustrated some related training courses to find out a relevant way for supplying the training programs.

Development of Demand Forecasting Algorithm in Smart Factory using Hybrid-Time Series Models (Hybrid 시계열 모델을 활용한 스마트 공장 내 수요예측 알고리즘 개발)

  • Kim, Myungsoo;Jeong, Jongpil
    • The Journal of the Institute of Internet, Broadcasting and Communication
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    • v.19 no.5
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    • pp.187-194
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    • 2019
  • Traditional demand forecasting methods are difficult to meet the needs of companies due to rapid changes in the market and the diversification of individual consumer needs. In a diversified production environment, the right demand forecast is an important factor for smooth yield management. Many of the existing predictive models commonly used in industry today are limited in function by little. The proposed model is designed to overcome these limitations, taking into account the part where each model performs better individually. In this paper, variables are extracted through Gray Relational analysis suitable for dynamic process analysis, and statistically predicted data is generated that includes characteristics of historical demand data produced through ARIMA forecasts. In combination with the LSTM model, demand forecasts can then be calculated by reflecting the many factors that affect demand forecast through an architecture that is structured to avoid the long-term dependency problems that the neural network model has.

A Study on Perception and Demand for the Parent Education Program Activation (부모교육 프로그램 활성화를 위한 학부모 인식 및 요구)

  • Park, Hye-Jin;Kim, Yong-Young
    • Journal of the Korea Convergence Society
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    • v.10 no.5
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    • pp.173-180
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    • 2019
  • This study conducted an overall recognition analysis and demand survey of parent education programs in order to explore ways to promote parent education. Based on previous research, the questionnaire was developed including five factors and 23 items : (1) operating a center to support parent education, (2) perception on parent education programs, (3) developing a parent education program, (4) utilizing space, and (5) program operation and evaluation. A survey was administered on the parents of second and fourth graders at A elementary school in Chungju. The result showed that parents are positive about the operation of the center, which can provide professional support for parent education programs. There was also a great demand to strengthen the educational content of parents' roles. This study is meaningful in providing basic data for developing parent education programs based on the perception and demand analysis of existing parent education. Furthermore, the need for performance analysis and feedback was presented in future research directions after the actual development and operation of parent education programs that reflected the demand of parents.

Demand Analysis of Fresh-fish in the Urban Communities (도시지역에 있어서 선어의 수요분석 -육류와의 대체관계를 중심으로-)

  • 김수관
    • The Journal of Fisheries Business Administration
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    • v.15 no.1
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    • pp.114-130
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    • 1984
  • The structure of food demand is being changed according to the improvement of living standard. Moreover, the intake of animal protein is stepping up. This paper considers how much fresh-fish is consumed as source of animal protein and what extent fresh-fish have substitutive relation for meat with special reference to the change of income and price of fresh-fish and meat. And it is thought to be important work to estimate demand of fresh-fish in attemps to the prediction of food consume pattern and fishing industries in the future. For this estimation, the substitutive relation of fresh-fish and meat is essentially studied. The main conclusions of this study can be drawn as follows: 1. Fresh-fish and meat have substitutive relation on price axis. By the way, increase in demand of A (fresh-fish which have comparatively low price) can be expected according to the low of it's price against meat, but B (fresh-fish wihich have comparatively middle-high price) have peculiar demand without substitutive relation for meat. 2. Demand of A and B rise according to the income increases. 3. It is not sufficient to explain substutive relation of fresh-fish and meat without income variable. 4. Income increases bring about the more increase in demand of B than A. By the way, price increases bring about the decrease of it's consume expenditure, but A have fundamental demand as the source of animal protein. 5. In future, the intake of animal protein will step up. By the way, meat will occupy the more portion of the source of animal protein than fresh-fish.

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An Empirical Study on the Burnout of Nurses Based on the Job Demand-Control Model (직무요구-통제 모형에 의한 간호사의 소진(Burnout)에 관한 연구)

  • Park, Sang-Eon;Han, Su-Jung
    • Korea Journal of Hospital Management
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    • v.11 no.2
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    • pp.32-60
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    • 2006
  • Based on the Job Demand-Control model which was proposed by R. A. Karasek, this study was designed to investigate the relationships among job demand, job control, and job burnout of nurses. In addition, the other aim of the present study was to test the moderating or buffering role of social supports in the relationship between the job demand and job burnout. The analysis based on data collected from 239 nurses who are working in two general hospitals has produced the following results. We found that job demand was primarily related to the exhaustion component of burnout, whereas (lack of) job control was related to the disengagement dimension of burnout. And social supports from the supervisor attenuated the disengagement, whereas social supports from the colleague diminished the exhaustion. But, we found no interaction effects that were expected in the hypotheses. Specifically, social supports didn't buffer the negative effects of job demand on burnout, while job control had the moderating effect which was in opposite direction. The implications of these analyses and limitations of the study were then discussed.

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An Analysis on the Electricity Demand for Air Conditioning with Non-Linear Models (비선형모형을 이용한 냉방전력 수요행태 분석)

  • Kim, Jongseon
    • Environmental and Resource Economics Review
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    • v.16 no.4
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    • pp.901-922
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    • 2007
  • To see how the electricity demand for air-conditioning responds to weather condition and what kind of weather condition works better in forecasting maximum daily electricity demand, four different regression models, which are linear, exponential, power and S-curve, are adopted. The regression outcome turns out that the electricity demand for air-conditioning is inclined to rely on the exponential model. Another major discovery of this study is that the electricity demand for air-conditioning responds more sensitively to the weather condition year after year along with the higher non-air-conditioning electricity demand. In addition, it has also been found that the discomfort index explains the electricity demand for air-conditioning better than the highest temperature.

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The Study on Imbalance for Labor Supply and Demand in Electrical Construction Business : Simulating the Supply and Demand Gap of Technical Engineer (전기공사업 노동시장의 인력수급 불균형에 관한 연구: 기술·기능인력의 수급격차에 대한 시뮬레이션)

  • Park, Houng-Hee
    • Korean System Dynamics Review
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    • v.14 no.3
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    • pp.105-134
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    • 2013
  • Electrical construction business has public and professional characters. It may require appropriate interventions of the government because these business activities stand for not only profit-seeking competition, but also supplies of one of the key functions in our society. In other words, public benefit and private benefit are still in existence. The government therefore considers such an aspect of public importance of the business sector and needs to plan to adjust technical and engineering manpower of this market. This study focuses on the imbalance for labor supply and demand of technical engineer in electrical construction business. A system dynamics analysis is applied to understand and simulate the imbalance as a soft approach. It has the merit of causal loop diagram to alleviate the limitation of data lack problem. We find that excess demand is expected from 2010 to 2011, and excess supply is predicted from 2012 to 2021 about the manpower of technical engineer. It shows considerable disagreement between the supply and demand of human resource. So we suggest that it is strong necessity to construct statistics infrastructure for a manpower supply and demand plan.

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Analysis of Application protocol for Demand response System (수요반응 시스템에서의 응용 프로토콜 분석)

  • Park, Jae Jung;Kim, Jin Young;Seo, Jong Kwan;Lee, Jae Jo
    • Journal of Satellite, Information and Communications
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    • v.8 no.2
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    • pp.56-61
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    • 2013
  • With the rapidly increasing power demand in recent years, variety of methods have been proposed for efficient power consumption.. Among them, the most representative example is demand response system based smart grid. Demand response system is not passive, one-side power demand. This system can efficiently consume through communication between service provider and power consumer. Demand response system uses HTTP based TCP/IP. And currently, there are variety of communication application protocol. In this paper, we analyze procotol type and application for demand response system.