• 의료ㆍ복지 건축 : 한국의료복지건축학회 논문집
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• 제5권8호
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• pp.7-14
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• 1999

Current Korean healthcare facilities face on a difficult period as much as financial difficulty in Korean economy. Most of all the hospitals have difficulty in minus profit margin and hospital investments are also reducing rapidly. Probably, these seem to set in the period of re-organizing its structures and enhancing productivity from the rapidly growing period, which was to concentrate its resources and prefer large scaled structures. Analyzing the developing process and future trend in the U. S. health care facilities, already experienced in financial difficulty of current Korean health care facility in 70s thru. 80s, this paper is to present directions in future Korean health care policy and healthcare facility planning.

• International Journal of Control, Automation, and Systems
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• 제6권5호
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• pp.627-638
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• 2008

With the shift of the electric power industry from a regulated monopoly structure to a competitive market environment, the focus of the transmission expansion planning has been moving from reliability-driven transmission expansion to market-based transmission expansion. In market-based transmission expansion, however, a growing demand for electricity, an increasing number of transmission bottlenecks, and the falling levels of transmission investment have created the need for an incentive to motivate investors. The expectation of profit serves as a motivational factor for market participants to invest in transmission expansion in a competitive market. To promote investment in transmission expansion, there is an increasing need for a systematic method to examine transmission expansion for investment incentives from multiple perspectives. In this paper, the transmission expansion problem in a competitive market environment is formulated from ISO and investors' perspectives. The proposed method uses parametric analysis to analyze benefits for investors to identify the most profitable location and amount for transmission addition. Numerical results are presented to demonstrate the effectiveness of the proposed method.

• 기술혁신연구
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• 제6권1호
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• pp.187-214
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• 1998

This paper tries to examine the effectiveness of inventory reduction to the productivity increase and the impact of production environments on its effectiveness utilizing the Profit Impact of Market Strategy (PIMS) Database from the Strategic Planning Institute, a large data set that covers a variety of manufacturing activities from the early 1970s to late 1980s. The empirical results of this paper support the robustness of the principle of "Lean Production" or JIT system (also referred to as "Stockless Production"). We also find that the overall environment in which manufacturing strategic business units operate is an important factor in determining the different degrees of effectiveness of the work-in process (and raw materials) invertory reductions. In particular, we find that the effectiveness of the work-in process reduction varies according to the position in the product life cycly as well as the complexity and characteristics of the production processes.roduction processes.

• 한국실내디자인학회논문집
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• 제17호
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• pp.12-21
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• 1998

Due to rise in a more sophisticated consumer and free distribution of foreign goods domestic department stores have been confronted with the need to change marketing strategy. The VMD strategy has become increasingly important as the means in reaching the contemporary consumer who has been sensitized to a visual style of marketing strategy. The use of VMD organizational elements have enabled us to create basic planning data that more accurately reflect our current marketplace trends,. The positive influence and supporting role of visual merchandiser is needed more than ever and will be an important part of future profit and customer satisfaction regardless of whether the customer is driven from image buying values and product-quality issues.

• 대한전기학회:학술대회논문집
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• 대한전기학회 2002년도 하계학술대회 논문집 A
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• pp.398-400
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• 2002

This paper presents long-term electricity market analysis simulation considering Genco's strategy using P-POOL. In the competitive electricity market, system operation and/or market operation is highly depended on the participants' intention and his planning. We focus on the Genco's strategy, including maintenance scheduling and bidding strategy. And we represent his profit using 3-Bus sample system.

• 한국경영과학회:학술대회논문집
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• 한국경영과학회/대한산업공학회 2003년도 춘계공동학술대회
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• pp.14-20
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• 2003

Supply chain is the link that moves products between suppliers, manufactures, wholesalers, distribution, retailers and ended consumers. Supply chain management(SCM) is a way to supervise the flow of products, materials and information as they move along the supply chain. In the recent years, Most of the companies are in a hurry the introduction of SCM to obtain international competitiveness. The goal of SCM is to optimize the supply chain, which can not only reduce inventories, but may also create a higher profit margin for finished goods by giving customers exactly what they want. There are four major decision areas (location, production, inventory, transportation) in supply chain management, and there are both strategic and operational elements in each of these decision areas. This paper is concerned with the integrated production planning problem including not only the production cost but also the transportation cost in supply chains, and an efficient algorithm using genetic algorithm and quickest path method is presented to solve the problem.

• 전기학회논문지
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• 제56권2호
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• pp.254-259
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• 2007

PM(Preventive Maintenance) can avail the generating unit to reduce cost and gain more profit in a competitive supply-side power market. So, it is necessary to perform reliability analysis on the power systems in which reliability is essential. Thus, to schedule optimal PM planning based on reliability that is defined RCM(Reliability-Centered Maintenance), FMECA(Failure Mode Effects and Criticality Analysis) assessment is very important. Therefore, in this paper, the procedure of FMECA assessment for optimal RCM is proposed by probabilistic approach using real historical failure data of combustion-turbine generators in Korean power systems. The stochastic FMECA is performed based on the effects of probable failure modes of combustion-turbine generating unit.

• 의료ㆍ복지 건축 : 한국의료복지건축학회 논문집
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• 제11권3호
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• pp.7-17
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• 2005

The purpose of this study is to evaluate the performances of 5 hospitals which have some different management systems and how are the differences in performance and what do they mean in aspects of architectural planning, if they exist. All of hospitals are located in M city, Jeonnam Province. Data sources are each hospital's patient-statistics and profit & loss statements. Management systems of surveyed hospitals consist in 2 inpatient-based, 1 outpatient-focused and 2 hospitals, not showing any characteristics. Time ranges for survey are 5 years from 1999 through 2003.

• 대한예방한의학회지
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• 제1권1호
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• pp.42-47
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• 1997

Despite of increasing market share, oriental hospitals are now facing profit deterioration. In order to contribute to both better policy making of the Government Md corporate planning in the part of the individual hospitals this study attempted to identify the oriental hospital's financial characteristics. financial performance data for 1995, published by the Korea Institute of Health Services Management, were analysed from the structural perspective of patient composition, capital and resources input, medical revenue and costs, and financial efficiency and profitability. Some financial characteristics were drawn based on the results of the analysis. The areas that require corrective action and future study were also suggested.

• 한국산업정보학회:학술대회논문집
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• 한국산업정보학회 2008년도 추계 공동 국제학술대회
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• pp.164-169
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• 2008

The increasing late-payment rate of credit card customers caused by a recent economic downturn are incurring not only reduced profit of department stores but also significant loss. Under this pressure, the objective of credit forecasting is extended from presumption of good or bad customers to contribution to revenue growth. As a method of managing defaults of department store credit card, this study classifies credit delinquents into some clusters, analyzes repaying patterns of customers in each cluster, and develops credit forecasting system to manage delinquents of department store credit card using data of Korean D department store's delinquents. The model presented by this study uses Kohonen network, a kind of artificial neural network of data mining techniques to cluster credit delinquents into groups. Logistic regression model is also used to predict repayment rate of customers of each cluster per period. The accuracy of presented system for the whole clusters is 92.3%.