• Bioindustry News
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• v.14 no.1
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• pp.39-48
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• 2001

• Proceedings of the Korea Institutes of Information Security and Cryptology Conference
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• 1994.11a
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• pp.303-315
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• 1994

• Korean Journal of Hydrosciences
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• v.4
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• pp.65-79
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• 1993

Selection of the best operating rule among a set of alternatives for a multipurpose reservoir system operation requires to evaluate many minor criteria in addition to the major objectives assessed to the system. These problems are sufficiently complex and difficult that they are beyond heuristic decision rules and experiences in case several noncommensurable multiple criteria are included in the evaluation. With the assistance of multicriterion decision analysis techniques, it is possible to select the best one among various alternatives by systematically comparing and ranking the alternatives with respect to the criteria of choice. Evaluation criteria for multipurpose reservoir system operating rules were identified and defined, and the multicriterion decision analysis techniques were applied to evaluate the four existing operating rules of the Chungju multipurpose project according to the identified nine multiple criteria. The application results show that the methodology is very efficient to select the best operation alternative among a finite number of operating rules with many evaluation criteria for a large-scale reservoir system operation.

• Korean Management Science Review
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• v.21 no.1
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• pp.113-129
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• 2004

Nowadays many enterprises build e-procurement systems. An e-procurement is a Web-based procurement process and its functionalities are considered important in the B2B e-commerce. Buyers should select competent suppliers for a successful e-procurement. Therefore, this study proposes a method using the analytic hierarchy process(AHP) for building a Web-based supplier selection system. In detail, the purpose of this study is (1) to review methods previously used when buyers selecting suppliers and to extract important selection criteria： (2) to explain extended AHP method adopted by this study among supplier selection methods： (3) to describe the supplier selection steps using extended AHP ： and (4) to propose a decision support system embedding the methodology described above. The proposed system comprises of three phase： first phase is to evaluate suppliers on enterprise level： second phase to evaluate them on each transaction level： third phase to post-evaluate them.

• Industrial Engineering and Management Systems
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• v.8 no.1
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• pp.47-53
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• 2009

We define product line (or mix) selection problem as selecting a subset of potential product variants that can simultaneously minimize product proliferation and maintain market coverage. Selecting the most efficient product mix is a complex problem, which requires analyses of multiple criteria. This paper proposes a method based on Data Envelopment Analysis (DEA) for product line selection. Data Envelopment Analysis (DEA) is a linear programming based technique commonly used for measuring the relative performance of a group of decision making units with multiple inputs and outputs. Although DEA has been proved to be an effective evaluation tool in many fields, it has not been applied to solve the product line selection problem. In this study, we construct a five-step method that systematically adopts DEA to solve a product line selection problem. We then apply the proposed method to an existing line of staplers to provide quantitative evidence for managers to generate desirable decisions to maximize the company profits while also fulfilling market demands.

• Proceedings of the Korean Institute of Building Construction Conference
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• 2014.11a
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• pp.218-219
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• 2014

The selection of an appropriate contract method is vital for the successful operation of the project. However, there has been a lack of studies on objective decision making support models for use in the planning stage of a project contract. The present study had the goal of analyzing the factors that influence contract method selection, as an initial study for developing a project contract method selection model. The existing related studies were analyzed, and the factors considered in the literature were selected. Then, based on the findings, the opinions of an expert group on the important factors for contract method selection were collected through a survey. The collected opinions were analyzed using factor analysis, a statistical analysis method. The results will be utilized in the future as preliminary data for developing a decision making model for selecting a contract method.

• Journal of Fashion Business
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• v.15 no.3
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• pp.1-21
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• 2011

This study is designed to identify how Demographic Factors affect Fashion Orientation(value), Fashion Response, and Buying Criteria. A total of 355 usable data was collected from housewives in three metropolitan cities(Seoul, Daejeon, Sungnam) in Korea. Young housewives who have one child are a market segment whose buying power is recognized by both the retailers and the market. The housewives' fashion orientation consists of four categories : social orientation, practical orientation, political orientation, and aesthetic orientation. The housewives' fashion response is classified into three areas : self conscious, self esteem, and self monitoring. The criteria of buying children's wear consists of nine components. As a result, the key reason for buying children' wear was 'attractive design'. Research result showed that POLITICAL ORIENTATION(SE beta=.229, p<.001) was more effective than AESTHETICS ORIENTATION(SE beta=.203, p<.001), for enhancing SELF-CONSCIOUS RESPONSE and SELF-ESTEEM RESPONSE. Therefore, this study suggests that the key factor for understanding trend can be a human self concept, consciousness, values, and orientation. The housewives' fashion orientation is responsible for 18.7% of BRAND ROYALTY(F = 20.172, p<.001) from among nine buying criteria. More poignantly, POLITICAL ORIENTATION covered 66.9% of selection of BRAND ROYALTY, and it explained 34.6% of selection of DESIGN among nine buying criteria. Thus, it showed that POLITICAL ORIENTATION(SE beta=.331, p<.001) is more effective than SOCIAL ORIENTATION(SE beta=.146), for upgrading BRAND ROYALTY. In addition, it showed that POLITICAL ORIENTATION(SE beta=.238, p<.001) is more effective than AESTHETICS ORIENTATION(SE beta=.040) for upgrading DESIGN evaluation. Housewives' fashion orientation, and fashion response are differentiated by demographic factors, such as occupation, women's career, husband' job, income, and location related to social status.

• Culinary science and hospitality research
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• v.6 no.3
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• pp.25-55
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• 2000

AS the number of tourist has been increased. hotel industry will be able to not be existed and developed if not adapted to the need of customer's which is changed according to the change of Hotel's function. Traditionally. F&B department is enlarged compared to the past. But. it cause negative result in terms of clear profit. A menu is a marketing tool which delivers restaurant's image aid message to customers and communicate need and wants to restaurant. So far, studies on menu have been done in an analytical way from a management's viewpoint and inadequate to reflect customer's need and wants. A research on customer's menu selection procedure is critical to satisfying their needs and wants yield profit. This study examined the theories on menu-design and customer behavior through literature review and verified hypotheses through an empirical analysis. A questionnaire-survey had been used in luxury hotel's main grills and all most restaurants in Seoul. Collected data were analyzed. using SPSS/PC+ package. The important findings are as follows. In this study is to examine the factors that have an influence on customer's menu selection. The factors affected the customers' menu selection of hotel restaurant in the four factors. Four factors are hotel's restaurant of environmental factor. menu-choice factor. value of menu items, information. Correction between the evaluation criteria and selection of menu was examined. All four evaluation criteria, menu-choice factor was found to be most strongly collected with selection of menu. In conclusion, As a study on the Customer' menu Selection Behavior factor of Restaurant Menus in Hotels, It raises to exert us in the menu management of hotel restaurant.

• The Korean Journal of Applied Statistics
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• v.23 no.6
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• pp.1169-1178
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• 2010

This article consider a performance model selection based on AIC under unbalanced deign in linear mixed effect models. Vaida and Balanchard (2005) proposed conditional AIC for model selection in linear mixed effect models when the prediction of random effects is of primary interest. Theoretical properties of cAIC and related criteria have been investigated by Liang et al. (2008) and Greven and Kneib (2010). However, all of the simulation studies were performed under a balanced design. Even though functional form of AIC remain same even under the unbalanced deign, it is worthwhile to investigate performance of AIC based model selection criteria under the unbalanced design. The simulation study in this article shows how unbalancedness affects model selection in linear mixed effect models.

• Journal of Technology Innovation
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• v.24 no.1
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• pp.25-48
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• 2016

With the drastic changes toward open innovation, there have been many studies focusing on analyzing the characteristics of open innovation and fostering the open innovation. The most prominent research in open innovation literature is related to the partner selection. In partner selection process, what is important is to identify the expected performance when conducting open innovation with this partner. Therefore, this study suggests an integrative framework of BSC-AHP to support the effective partner selection. The aim of this study is to select the most desirable partner which maximize the performance of the firm after conducing open innovation. This paper employs BSC framework to prepare and characterize relevant decision criteria for the partner selection, and employs AHP to evaluate the partner alternatives under the prepared decision criteria.