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공급 사슬 환경에서 중소 제조 기업의 가격 결정 전략에 관한 연구
황승준(Seung-June Hwang),김태영(Tai-Young Kim),금병찬(Keum-Byung Chan) 한국산업경영시스템학회 2011 한국산업경영시스템학회지 Vol.34 No.2
The purpose of this paper is to suggest a supplier and buyer’s pricing decision strategy model with discount-policy over a long-term replenishment contract in a supply chain environment by small and medium size manufacturing company. We assume that the buyer has a superior economic power over a supplier and each agent in a supply chain is unaware of each other. The supplier proposes pricing decision strategy to induce the buyer to choose the terms of contract for the benefit of the supplier. Then buyer decides the terms of contract to maximize her profit considering supplier’s discount-policy. We also present a numerical example to illustrate the efficiency of pricing decision strategy.
공급망 환경에서 중소부품제조업체의 생산물류계획 통합 사례연구
황승준(Seung-June Hwang),김태영(Tai-Young Kim),금병찬(Keum-Byung Chan) 한국SCM학회 2011 한국SCM학회지 Vol.11 No.1
For small and medium sized manufacturing companies, establishing a production and logistics integration systems is one of the most critical issues in the supply chain management. It helps SMEs(Small and Medium-sized Enterprises) fulfill production and logistics activities simultaneously, and enhances operational efficiency through the reduced changes in production planning, defect ratio, and inventory turnover. This case study showed a process of adopting an information system for an auto-part manufacturing company attempting integration of production and logistics activities. In particular, this study performed a system analysis and compared the key performance between before and after adoption of the new system in the context of a supply chain with multi plants and multi distribution centers.
Convex Underestimates of Sums of Products of Linear Functions
황승준(Seung-June Hwang),서동원(Dong-Won Seo) 한국산업경영시스템학회 2007 한국산업경영시스템학회지 Vol.30 No.2
본 논문에서 선형함수의 곱의 형태로 표현된 비선형 함수를 목적식 또는 제약식에 가지는 비선형 최적화 문제를 새로운 변수를 추가하여 선형 Relaxation 최적화 문제로 Reformulation하는 기법을 소개한다. 특히, 선형함수의 곱의 형태를 가지는 비선형 함수를 포함하는 비선형 정수 최적화 문제를 선형 정수 최적화 문제로 Relaxation할 경우 두 최적화 문제의 해가 일치함을 보인다. 또한 소개된 Relaxation 기법을 응용하여, 추가되는 변수의 수를 증가시킴으로서, 보다 Tight한 Relaxation 문제를 도출하는 과정에 대하여 소개한다.
백승현(Seung Hyun Baek),황승준(Seung-June Hwang) 한국경영과학회 2018 經營 科學 Vol.35 No.1
Existing stock price analysis studies tended to focus only on stock price rather than stock price determinants, but in this study we develop a stock price forecasting system with a two-step method. In the first step, we find the factors that determine the stock price and predict the stock price based on the factors determined in the second step. The scope of the research is meaningful in reducing the cost of collecting data by developing predictive-based models that can be used in the stock market and selecting the variables needed for forecasting. The research methodology will use CART (Classification And Regression Tree). In this study, we applied to the stock price prediction in two directions of both prediction and classification. We use the KOSPI 200 data for empirical analysis and present a quantitative forecasting model that considers the direction of future share prices by using financial statement indices, past and present stock prices related to asset value and profitability value. Experiments were conducted in three experiments according to the input parameters of prediction and classification problem. Based on the experimental results, two determinants and two models are suggested for prediction and classification.
Quantitative Analysis for Biomass Energy Problem Using a Radial Basis Function Neural Network
백승현(Seung Hyun Baek),황승준(Seung-June Hwang) 한국산업경영시스템학회 2013 한국산업경영시스템학회지 Vol.36 No.4
In biomass gasification, efficiency of energy quantification is a difficult part without finishing the process. In this article, a radial basis function neural network (RBFN) is proposed to predict biomass efficiency before gasification. RBFN will be compared with a principal component regression (PCR) and a multilayer perceptron neural network (MLPN). Due to the high dimensionality of data, principal component transform is first used in PCR and afterwards, ordinary regression is applied to selected principal components for modeling. Multilayer perceptron neural network (MLPN) is also used without any preprocessing. For this research, 3 wood samples and 3 other feedstock are used and they are near infrared (NIR) spectrum data with high-dimensionality. Ash and char are used as response variables. The comparison results of two responses will be shown.
PLS-MGA 방법론을 활용한 제도론적 관점에서의 공공제도 품질과 사용자 행태의 분석
이재열(Jae Yul Lee),황승준(Seung June Hwang) 한국산업경영시스템학회 2017 한국산업경영시스템학회지 Vol.40 No.2
In this study, we conducted a comparative study on user’s perception and behavior on public system service (PSS) using institutionalism theory and MGA (multi-group analysis) methodology. In particular, this study focuses on how institutional isomorphism is applied to public system services and how MGA can be implemented correctly in a variance based SEM (structural equation model) such as PLS (partial least square). A data set of 496 effective responses was collected from pubic system users and an empirical research was conducted using three segmented models categorized by public proximity theory (public firms = 113, government contractors = 210, private contractors = 173). For rigorous group comparisons, each model was estimated by the same indicators and approaches. PLS-SEM was used in testing research hypotheses, followed by parametric and non-parametric PLS-MGA procedures in testing categorical moderation effects. This study applied novel procedures for testing composite measurement invariance prior to multi-group comparisons. The following main results and implications are drawn : 1) Partial measurement invariance was established. Multi-group analysis can be done by decomposed models although data can not be pooled for one integrated model. 2) Multi-group analysis using various approaches showed that proximity to public sphere moderated some hypothesized paths from quality dimensions to user satisfaction, which means that categorical moderating effects were partially supported. 3) Careful attention should be given to the selection of statistical test methods and the interpretation of the results of multi-group analysis, taking into account the different outcomes of the PLS-MGA test methods and the low statistical power of the moderating effect. It is necessary to use various methods such as comparing the difference in the path coefficient significance and the significance of the path coefficient difference between the groups. 4) Substantial differences in the perceptions and behaviors of PSS users existed according to proximity to public sphere, including the significance of path coefficients, mediation and categorical moderation effects. 5) The paper also provides detailed analysis and implication from a new institutional perspective. This study using a novel and appropriate methodology for performing group comparisons would be useful for researchers interested in comparative studies employing institutionalism theory and PLS-SEM multi-group analysis technique.
재무공시에서 XBRL 도입이 정보비대칭에 미치는 영향에 관한 실증연구
이성욱(Sung-wook Yi),황승준(Seung-June Hwang),신용우(Yong-woo Shinn) 한국산업경영시스템학회 2011 한국산업경영시스템학회지 Vol.34 No.2
In this paper, we have studied the impact of adopting XBRL (eXtensible Business Reporting Language) on information asymmetry in capital markets with the additional research on the usefulness of XBRL data how to improve the quality of accounting information. From the Kosdaq XBRL service, the samples are selected including 38 adopted companies and the 30 non-adopted companies for the paired analysis. The daily stock return volatility (VOLA) as independent variable and other several controlling variables have been added for the regression analysis to measure the impact on information asymmetry in capital markets. he analytical result indicated that the asymmetry hypotheses that XBRL data will give a significant impact on the capital market and will reduce the volatility, which are expected in the hypotheses. This is the first analytical research on the capital market and its impacts to the capital market from adopting XBRL based accounting information. Additionally, the analysis showed the impacts on the reporting cycle of accounting information and its usefulness of accounting data itself.