• Journal of the Korean Society for Industrial and Applied Mathematics
• /
• v.2 no.1
• /
• pp.41-60
• /
• 1998

This paper derives a consistent and bias corrected extension of Akaike's Information Criterion (AIC), $AIC_{bc}$, based on Kullback-Leibler information. This criterion has terms that penalize the overparametrization more strongly for small and large samples than that of AIC. The overfitting problem of the asymptotically efficient model selection criteria for small and large samples will be overcome. The $AIC_{bc}$ also provides a consistent model order selection. Thus, it is widely applicable to data with small and/or large sample sizes, and to cases where the number of free parameters is a relatively large fraction of the sample size. Relationships with other model selection criteria such as $AIC_c$ of Hurvich, CAICF of Bozdogan and etc. are discussed. Empirical performances of the $AIC_{bc}$ are studied and discussed in better model order choices of a linear regression model using a Monte Carlo experiment.

• Journal of Navigation and Port Research
• /
• v.33 no.2
• /
• pp.135-141
• /
• 2009

The circumstances surrounding world ports have changed rapidly and port competition to attract cargoes has been increasing fiercely. Specifically, deploying large container vessels resulted fewer port visits and strategic alliance among liner shipping companies. Recently, many studies have worked for improving port competitiveness. However, these studies were limited to evaluation of only port competitiveness and few studies suggested strategies for reinforcing port competitiveness. Although implications of these previous studies are practically available to build policies for port, there have been very few academic studies such as identifying port competitiveness and port selection with related attributes for reasonable evaluation and analysis. Therefore, this study aims to classify the existing studies, which dealt with port selection problem, based on basic structure that was suggested by Murphy (1992). Furthermore, the conceptual definition will be carried out by comparison analysis in terms of time of study, type of data and methodology and decision factor of each study.

• Journal of Korean Society of Industrial and Systems Engineering
• /
• v.33 no.2
• /
• pp.1-8
• /
• 2010

A vendor selection problem consists of two different kinds of decision making. First one is to choose the best suppliers among all possible suppliers and the next is to allocate the optimal quantities of orders among the selected vendors. In this study, an integration of the technique for order preference by similarity to ideal solution (TOPSIS) and a multi-objective mixed integer programming (MOMIP) is developed to account for all qualitative and quantitative factors which are used to evaluate and choose the best group of vendors and to decide the optimal order quantity for each vendor. A solution methodology for the vendor selection model of multiple-vendor, multiple-item with multiple decision criteria and in respect to finite vendor capacity is presented.

• Journal of Information Technology Services
• /
• v.5 no.3
• /
• pp.187-201
• /
• 2006

Nowadays, many organizations more increasingly show their interests in developing informations systems through not only in-house development but outsourcing. Selecting a proper information system developer, however, is not easy task partly due to the absence of evaluation criteria pertinent to explain the pros and cons of information system developers considered. Further, much care should be taken of choosing an appropriate decision method applicable to semi-structured or strategical decision making problems such as selection of information system developer even though evaluation criteria are well provided. The purpose of this paper is to provide for the selection process, ranging from identification of problem structure to solution method, of information system developer with the use of Analytic Hierarchy Process(AHP).

• Journal of Korean Society of Industrial and Systems Engineering
• /
• v.30 no.4
• /
• pp.118-126
• /
• 2007

This study presents the intellectual capital (IC) indicator selection criteria based on the review of qualitative characteristics of financial accounting information and data quality of information systems. The AHP survey has been performed to verify the weight difference of the criteria to select effective IC indicators among industry. The results shows that there exists the weight differences in relevance and comparability factor by industry. To management IC effectively, different method considering industry environment should be required.

• IE interfaces
• /
• v.14 no.1
• /
• pp.47-53
• /
• 2001

This paper was studied to present a model for the application of AHP to the selection of airliners. For this study, a questionnaire was developed in respect to the criteria of airliner and given to 80 airline pilots and 30 maintenances in airlines to ask their opinions about the candidates for the middle-range airliners. The AHP software developed by Korean Advanced Institute of Science Technology (KAIST) was used to process the data. The result was analyzed by the criteria of selecting airliners and the several alternatives for the middle-range airliners.

• Journal of the Korean Operations Research and Management Science Society
• /
• v.37 no.2
• /
• pp.73-88
• /
• 2012

Even though the final source selection of foreign weapon system purchase project in defense area is the most important phase, the standard evaluation index has not been developed. This paper provides an appropriate evaluation index using DEMATEL and ANP methods. First, the all possible evaluation criteria applied to the relevant previous literatures in domestic and overseas researches are derived and classified into groups. Second, DEMATEL method is used to determine the network structure representing the relations of cause and effect between groups and their sub-criteria. If isolated factors, not connected with other factors, are existed in the network structure, all factors except for the isolated ones are grouped as one large factor so that the independency between those ones is maintained. The weights of criteria are determined using AHP method if the criteria are independent relation and ANP method if the criteria are networked. The weights of higher and lower level criteria are then integrated and distributed as a point with respect to the decision making purpose. The developed evaluation index can be used as a standard one in various foreign weapon system purchase projects in defense area.

• Journal of the Korean Society of Manufacturing Process Engineers
• /
• v.7 no.3
• /
• pp.87-95
• /
• 2008

The purpose of this study is to provide a decision support to select an appropriate rapid prototyping(RP) machine that suits the application of a part. Selection factors include concept model, form/fit/functional model, pattern model for molding, material property, build time and part cost that greatly affect the performance of RP machines. However, the selection of a RP is not an easy decision because they are uncertain and vague. For this reason, the aim of this research is to propose hybrid multiple attribute decision making approaches to effectively evaluate RP machines. In addition, because subjective considerations are relevant to selection decision, a fuzzy logic approach is adopted. The proposed selection procedure consists of several steps. First, we identify RP machines that the users consider. After constructing the evaluation criteria, we calculate the weights of the criteria by applying the fuzzy Analytic Hierarchy Process(AHP) method. Finally, we construct the fuzzy Technique of Order Preference by Similarity to Ideal Solution(TOPSIS) method to achieve the ranking order of all machines providing the decision information for the selection of RP machines.

• Journal of Korean Society of Industrial and Systems Engineering
• /
• v.42 no.3
• /
• pp.217-231
• /
• 2019

The purpose of this study is to analyze the factors influencing consumers' selection of web-toon service through AHP (Analytic Hierarchy Process) analysis and to provide the strategy of web-toon service. To accomplish this study, theories, existing research and references related to AHP were sufficiently examined and selected the factors in the selection criteria. Surveys from consumers who used the web-toon service were conducted with selected factors. Through this, the results were analyzed by AHP analysis to find out the weighting values and the differences were examined and analyzed. The highest weighting factor in the first layer that consists of web-toon service was cinematic quality. The cinematic quality was the most important factor in the selection criteria of customers who use the web-toon service regardless of their preferred genre. Furthermore, it was confirmed that the weighting value or ranking changed in the second layer by genre. In this study, the effective basis of strategy were suggested by ranking the quantitative selection factors according to the preferred genre of consumers using web-toon services. In addition, This research provides some practical implications. That is, the web-toon service provider can easily recognize and respond to the customer's requirements, which factors are important when the customer selects a specific genre from the web-toon genre.

• International conference on construction engineering and project management
• /
• 2007.03a
• /
• pp.662-671
• /
• 2007

Since variety of construction projects with their individual specifications could be handled through different procurement systems, selection of the most appropriate project delivery system is a vital step towards more efficient project execution. The appropriate selection of project delivery system may also ensure more competent management of the project. Its impacts are not only limited to the first stages of the project, as it could also influence pre-construction, construction and operational phases of the project. Among different approaches exerted for this purpose, none has taken uncertainty into account, despite the fact that during first stages of the project most of the selection factors are still uncertain and not clearly defined. This paper, hence, aims to provide a fuzzy insight into the project delivery system selection. Through this approach more tangible model of the evaluation process may be presented. Proposed fuzzy method is indeed a multi criteria decision making model, based on the group of criteria, assigned for the evaluation procedure. A case study is also conducted, based on the opinion of an invented group of the experts.