• Journal of Korean Society for Quality Management
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• v.18 no.2
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• pp.117-126
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• 1990

The Purpose of this study is to grasp the general effects of measurement-related investment by industrial firms. We presupposed the hypothesis that the measurement-related investment affects the decrease of product inferiority rates and analyzed the investigation results by means of PIMS(Profit Improvement of Market Strategy) model. As the results, we found out that the firms with positive measurement-related investment showed for less inferiority rates of products considerably. This study put an emphasis on the verification results showing that the considerable increase of measurement-related investment decreases the product inferiority rate by the statistical methods.

• The Journal of Information Technology and Database
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• v.6 no.2
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• pp.115-130
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• 1999

The price structure of housing market varies depending upon market price policy rather than low or high price policy because of IMF. The object of this study is to develop an analysis system for analyzing housing market and its demand. The analysis system consists of four major categories: macro index analysis, market decision analysis, housing market analysis, and consumer analysis. We model each category by using a variety of techniques such as generalized linear model, categorical analysis, bubble analysis, drill-down analysis, price sensitivity meter analysis, optimum price index analysis, profit index measurement analysis, correspondence analysis, conjoint analysis, and multidimensional scaling analysis. Seoul apartment data is analyzed to demonstrate the practical usefulness of the system.

• The Journal of Information Systems
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• v.21 no.3
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• pp.99-116
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• 2012

As a way to allocate lots of orders to many participants for vehicle allocation problem, this study has used an agent negotiation based reverse auction model. This agent negotiation provides coordination functions allowing all participants to make a profit, and accomplishing Pareto optimum solution from the viewpoint of a whole trucking cargo transportation network. In order to build a strategic cooperation relationship based on information sharing, this agent negotiation provides a coordination mechanism in which all the participants including consignors, brokerage firms, and car owners are able to attain their own profits, and also that ensure a competitive market. This study has tried to prove that the result of an agent-based negotiation is the Pareto optimal solution under the present market environment. We established a mathematical formulation for a comparison with the Integer Programming model, and analysing e-Marketplace, structure of shipping expenses and brokerage system in the trucking cargo transportation industry.

• 한국경영정보학회:학술대회논문집
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• 2008.06a
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• pp.767-785
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• 2008

This study investigates the effect of the update Digital Rights Management (DMR) strategy on a firm's profit. The model developed by Kim and Talalayevsky (2007) is applied to the case of two representative Korean software firms. Specifically, this study shows the model suggested by Kim and Talalayevsky (2007) fits the reality of Korean firms' DMR strategies. Based on the result, this study makes some implications to managers and policy makers.

• Journal of the Korean BIBLIA Society for library and Information Science
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• v.22 no.1
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• pp.193-210
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• 2011

In this era all successful organizations, whether profit or nonprofit, accept marketing concept as management philosophy and try to maximize consumer satisfaction in order to achieve their own goals. Libraries are no exception. A consumer decision process model is borrowed to explain how library service users act through five stages. Armed with information about library users, library management can be more user-oriented and bring higher user satisfaction. Some measures for effective library management are suggested.

• Proceedings of the Korean Operations and Management Science Society Conference
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• 2000.04a
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• pp.530-533
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• 2000

Recently, Manufacturers have recognized the importance of recycling because of the limitation of natural resources and new and proposed laws and legislations that assign responsibility to manufacturer for the ultimate disposal of their products and the environmental problems. In this paper, products assembled recyclable parts and non-recyclable parts are collected after consumer usage and go into a plant. And the collected recyclable parts are disassembled through the disassembly process and have three attributes - re-usable attribute, re-manufacturing attribute and dumping attribute. In this situation, we deal with a production planning for recycle-oriented manufacturing system. The proposed model maximizing the profit in a system is formulated as a mixed-integer linear programming. And then a numerical example is used to evaluate the effectiveness of the proposed model

• Management Science and Financial Engineering
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• v.16 no.3
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• pp.21-47
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• 2010

Quantity discounts provide a practical foundation for supply chain inventory policies, improving the supplier's profit and reducing the buyer's inventory cost simultaneously. Traditional quantity-discount research, which deals with inventory coordination between a buyer and a supplier, is extended to a stationary stochastic environment. This research shows that the magnitude of the optimal discounts scheduled by the deterministic quantity discount models may not be large enough to cover the buyer's additional inventory stocking risks under uncertain conditions. As a result, the buyer's total inventory cost may often increase rather than decrease. In contrast, the proposed model allows the supplier to identify the discount level, which shares the buyer's amplified risk associated with temporary overstocking and ensures that both buyer and supplier benefit economically. The performance of the proposed model was tested in the continuous review environments via numerical experiments. The experimental results support the proposed method as a feasible alternative in coordinating inventory decisions under stochastic demand.

• Journal of the Korean Operations Research and Management Science Society
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• v.38 no.3
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• pp.87-101
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• 2013

The purpose of this paper is to analyze supplier's optimal decision of the buyback price facing irrational retailers. It has been known that retailers show irrational ordering behaviors, such as pull-to-center effect. We model the retailer's pull-to-center behavior and derive the supplier's optimal buyback price considering the retailer's bounded rationality. The result shows that the supplier's profit can be significantly improved exploiting the retailer's irrationality in the ordering behavior.

• Journal of Korean Society for Quality Management
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• v.36 no.4
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• pp.77-86
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• 2008

Due to the rapid growth in automated testing and manufacturing systems, screening inspection becomes very attractive. In this paper, we investigate the effects of limited capacity on screening inspection using a surrogate variable. The model is developed under the assumption that the reprocessed and nonreprocessed items are produced by the same manufacturing process and therefore their quality characteristics are independently and identically distributed. Profit models are constructed which involve four price/cost components; selling price, cost incurred by imperfect quality, reprocessing and quality inspection costs. Methods of finding the optimal screening limits are presented, and a numerical example is given. Sensitivity analyses are also performed to study the effect of a process standard deviation on this model.

• Korean System Dynamics Review
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• v.13 no.4
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• pp.57-80
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• 2012

This research studies effect of FDA regulations in pharmaceutical industry on new drug development. System dynamics is implemented to demonstrate dynamic relationship between FDA regulations and R&D costs, firm's profits, sales. This research is focused on clinical trials of new medical entity process 50~60% portion of total development cost. Simulation results say that firm's profit is more sensitive to increasing the regulation than alleviating the regulation and effect of regulation policy make different result depending on the intensity of regulation and policy direction. Our simulation model provides the instrumental means for the policy makers and strategic decision in pharmaceutical industry.