• Journal of Korean Society of Industrial and Systems Engineering
• /
• v.38 no.2
• /
• pp.82-90
• /
• 2015

Location selection of distribution centers is a crucial task for logistics operators and key decision makers of an organization. This is a multi-criteria decision making (MCDM) process which includes both quantitative and qualitative criteria. In order to propose an optimized location selection model, this research suggests a hierarchical group of evaluation criteria : 5 major criteria with 15 sub-criteria. The MCDM approach presented in this research, by integrating Grey Relational Analysis (GRA) with Analytic Hierarchy Process (AHP), tends to rectify the overall quality and uncertainty of the values of evaluation criteria. An example of a location selection case in Korea is illustrated in this study to show the effectiveness of this method.

• Industrial Engineering and Management Systems
• /
• v.14 no.2
• /
• pp.175-182
• /
• 2015

The recent manufacturing industry in Japan has found it difficult to transfer skills from trained workers to inexperienced workers because the former ages and then retires. This is a particular problem for lathe process, as this operation requires explicit and tacit knowledge, and defining the skills clearly in a manual is difficult. This study aims to develop a training system for lathe operation by using a simulator; this includes formulas that help define the relationship between the speed of tool feed and cutting sound/shape of chips which were proposed in the preceding study. The developed training system is verified the effectiveness.

• Journal of Korean Institute of Industrial Engineers
• /
• v.41 no.5
• /
• pp.453-460
• /
• 2015

Identification of meaningful patterns and trends in large volumes of text data is an important task in various research areas. In the present study, we propose a procedure to find meaningful tendencies based on a combination of text mining, cluster analysis, and low-dimensional embedding. To demonstrate applicability and effectiveness of the proposed procedure, we analyzed the inaugural addresses of the presidents of the United States from 1789 to 2009. The main results of this study show that trends in the national policy agenda can be discovered based on clustering and visualization algorithms.

• Proceedings of the Korea Inteligent Information System Society Conference
• /
• 2003.05a
• /
• pp.206-213
• /
• 2003

Application of existing decision tree algorithms for Internet retail customer classification is apt to construct a bushy tree due to imprecise source data. Even excessive analysis may not guarantee the effectiveness of the business although the results are derived from fully detailed segments. Thus, it is necessary to determine the appropriate number of segments with a certain level of abstraction. In this study, we developed a stopping rule that considers the total amount of information gained while generating a rule tree. In addition to forwarding from root to intermediate nodes with a certain level of abstraction, the decision tree is investigated by the backtracking pruning method with misclassification loss information.

• Proceedings of the Korea Inteligent Information System Society Conference
• /
• 2005.11a
• /
• pp.379-390
• /
• 2005

In this paper, we introduce a new combinatorial auction mechanism - N-Bilateral Optimized Combinatorial Auction (N-BOCA). N-BOCA is a flexible iterative combinatorial auction model that offers optimized trading for multi-suppliers and multi-purchasers in the supply chain. We design the N-BOCA system from the perspectives of architecture, protocol, and trading strategy. Under the given N-BOCA architecture and protocol, auctioneers and bidders have diverse decision strategies for winner determination. This needs flexible modeling environments. Hence, we propose an optimization modeling agent for bid and auctioneer selection. The agent has the capability to automatic model formulation for Integer Programming modeling. Finally, we show the viability of N-BOCA through prototype and experiments. The results say both higher allocation efficiency and effectiveness compared with I-to-N general combinatorial auction mechanisms.

• Journal of Information Technology Services
• /
• v.5 no.3
• /
• pp.83-97
• /
• 2006

The current software company report system in Korea has many problems in its efficiency and effectiveness. In this paper, we investigated the system by surveying the contracting officials and contractors in software development. By analyzing current status and some problems with the survey results, we derived an feasible improvement scheme for the software company report system. We suggested efficient procedures and reporting items for the registration process, some benefits for contractors, and the short-term direction for its implementation.

• International Journal of Quality Innovation
• /
• v.7 no.2
• /
• pp.125-140
• /
• 2006

One of the most important service industries that emerged in the last decade is "Higher Education". The most of the higher education institutes involve in marketing efforts to build up a good image, to improve the level of satisfaction of students and the stakeholders, to gain competitive advantage with respect to competitors and as well as to increase their market share. Within this intense competition universities should identify and meet the expectations of students to attract more and to retain the existing students. This study is to gain more insights into the dimensions of satisfaction of the university students and factors that affecting their judgments. SSI educational experience questionnaire is used to identify the importance and performance perceptions of students' in Eastern Mediterranean University among different dimensions and also study find out the difference between importance and performance scores of eleven educational experience dimensions. Results show that "Academic Advising", "Instruction Effectiveness", "Recruitment and Financial Aid" and "Student Centeredness" was very important to students. Study also provides managerial implications as well.

• Asia pacific journal of information systems
• /
• v.17 no.1
• /
• pp.1-31
• /
• 2007

This research proposes a conceptual framework to highlight the importance of change management after firms implement ERP systems. With ERP, firms need to rework their business processes to make information flow smoothly within organizations. Firms cannot realize expected returns from ERP investments unless changes are effectively managed after ERP systems are put into operation. The research model is empirically tested using data collected from over 170 firms that had used ERP systems at least for more than one year. Our analysis reveals that the eventual success of ERP systems depends on effective change management after ERP implementation, supporting the existence of the 'valley of despair.

• Journal of Korean Society of Industrial and Systems Engineering
• /
• v.27 no.4
• /
• pp.179-186
• /
• 2004

The purpose of this study is to implement web-based quality cost management system to measure the performance of quality improvement activities in the business firms. Developed WQCMS(Web-based Q-Cost Management System) have ability to collect and analyze quality data generated from various different departments in the inside or outside of the enterprise without any limitations, if end-users are able to access wide area network. It provides the capability to integrate quality information from database and to generate various easy analysis reports to management's needs using built-in analysis tool modules with real-time. The proposed system was developed using Microsoft's .Net technology, ASP.NET and MS-SQL Server 2000. By web-enabling Q-cost management system, the effectiveness of the system management and utilization was realized by easiness of information integration and economical efficiency.

• Journal of the Korea Society of Computer and Information
• /
• v.23 no.1
• /
• pp.17-24
• /
• 2018

With improvement of speech recognition and natural language processing, dialog systems are recently adapted to various service domains. It became possible to get desirable services by conversation through the dialog system, but it is still necessary to improve separate modules, such as domain detection, intention detection, named entity recognition, and out-of-domain detection, in order to achieve stable service offer. When it misclassifies an in-domain sentence of conversation as out-of-domain, it will result in poor customer satisfaction and finally lost business. As there have been relatively small number of studies related to the out-of-domain detection, in this paper, we introduce a new method using a hierarchical Dirichlet process and demonstrate the effectiveness of it by experimental results on Korean dataset.