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REFERENCE LINKING PLATFORM OF KOREA S&T JOURNALS
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Journal of Korean Institute of Industrial Engineers
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Korean Institute of Industrial Engineers
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Volume & Issues
Volume 40, Issue 6 - Dec 2014
Volume 40, Issue 5 - Oct 2014
Volume 40, Issue 4 - Aug 2014
Volume 40, Issue 3 - Jun 2014
Volume 40, Issue 2 - Apr 2014
Volume 40, Issue 1 - Feb 2014
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Constructing a Social Contact Network based on Cellphone Call Records and Analysis of its Scale-free Property
Lee, Jinho ;
Journal of Korean Institute of Industrial Engineers, volume 40, issue 1, 2014, Pages 1~7
DOI : 10.7232/JKIIE.2014.40.1.001
We consider a human contact social network that has connections through cellphone addresses. To construct such a social network, we use real call records provided by a large carrier, and connect to each other if there exists a call record between any two cellphone users. Due to its huge amount of data, we down-sample it in a way that the smallest-degree nodes are removed, in turn, from the network. For a moderate size of the networks we show that the degree distribution of the network follows a power-law distribution via linear regression analysis, implying the so-called scale-free property. We finally suggest some alternative measures to analyze a social network.
Using Data Mining Techniques to Predict Win-Loss in Korean Professional Baseball Games
Oh, Younhak ; Kim, Han ; Yun, Jaesub ; Lee, Jong-Seok ;
Journal of Korean Institute of Industrial Engineers, volume 40, issue 1, 2014, Pages 8~17
DOI : 10.7232/JKIIE.2014.40.1.008
In this research, we employed various data mining techniques to build predictive models for win-loss prediction in Korean professional baseball games. The historical data containing information about players and teams was obtained from the official materials that are provided by the KBO website. Using the collected raw data, we additionally prepared two more types of dataset, which are in ratio and binary format respectively. Dividing away-team`s records by the records of the corresponding home-team generated the ratio dataset, while the binary dataset was obtained by comparing the record values. We applied seven classification techniques to three (raw, ratio, and binary) datasets. The employed data mining techniques are decision tree, random forest, logistic regression, neural network, support vector machine, linear discriminant analysis, and quadratic discriminant analysis. Among 21(
KR-WordRank : An Unsupervised Korean Word Extraction Method Based on WordRank
Kim, Hyun-Joong ; Cho, Sungzoon ; Kang, Pilsung ;
Journal of Korean Institute of Industrial Engineers, volume 40, issue 1, 2014, Pages 18~33
DOI : 10.7232/JKIIE.2014.40.1.018
A Word is the smallest unit for text analysis, and the premise behind most text-mining algorithms is that the words in given documents can be perfectly recognized. However, the newly coined words, spelling and spacing errors, and domain adaptation problems make it difficult to recognize words correctly. To make matters worse, obtaining a sufficient amount of training data that can be used in any situation is not only unrealistic but also inefficient. Therefore, an automatical word extraction method which does not require a training process is desperately needed. WordRank, the most widely used unsupervised word extraction algorithm for Chinese and Japanese, shows a poor word extraction performance in Korean due to different language structures. In this paper, we first discuss why WordRank has a poor performance in Korean, and propose a customized WordRank algorithm for Korean, named KR-WordRank, by considering its linguistic characteristics and by improving the robustness to noise in text documents. Experiment results show that the performance of KR-WordRank is significantly better than that of the original WordRank in Korean. In addition, it is found that not only can our proposed algorithm extract proper words but also identify candidate keywords for an effective document summarization.
Case Study of Design and Implementation for Hadoop-Based Integrated Facility Monitoring System
Kim, Sangrak ; Jang, Gilsang ; Cho, Chiwoon ;
Journal of Korean Institute of Industrial Engineers, volume 40, issue 1, 2014, Pages 34~42
DOI : 10.7232/JKIIE.2014.40.1.034
SCADA and DCS that have performed automatic control and monitoring activities increase the productivity of enterprise in industries. In such systems, although their performance had been improved, there are still many deficiencies in predictive maintenance which can foresee the risk of any kinds of accidents. Because the data acquisition systems of main facilities are being distributed throughout the whole plant and therefore, integration of data obtained from the systems is very difficult. Accordingly, techniques that acquire meaningful information from the gathered data through realtime analysis still need to be improved. This paper introduces a developed facility monitoring system which can predict equipment failure and diagnose facility status through big data analysis to improve equipment efficiency and prevent safety accidents.
Update Cycle Detection Method of Control Limits using Control Chart Performance Evaluation Model
Kim, Jongwoo ; Park, Cheong-Sool ; Kim, Jun Seok ; Kim, Sung-Shick ; Baek, Jun-Geol ;
Journal of Korean Institute of Industrial Engineers, volume 40, issue 1, 2014, Pages 43~51
DOI : 10.7232/JKIIE.2014.40.1.043
Statistical process control (SPC) is an important technique for monitoring and managing the manufacturing process. In spite of its easiness and effectiveness, some problematic sides of application exist such that the SPC techniques are hardly reflect the changes of the process conditions. Especially, update of control limits at the right time plays an important role in acquiring a reasonable performance of control charts. Therefore, we propose the control chart performance evaluation index (CPEI) based on count data model to monitor and manage the performance of control charts. The CPEI could indicate the degree of control chart performance and be helpful to detect the proper update cycle of control limits in real time. Experiments using real manufacturing data show that the proper update intervals are made by proposed method.
An Analysis of the Research Methodologies and Techniques in the Industrial Engineering Using Text Mining
Cho, Geun Ho ; Lim, Si Yeong ; Hur, Sun ;
Journal of Korean Institute of Industrial Engineers, volume 40, issue 1, 2014, Pages 52~59
DOI : 10.7232/JKIIE.2014.40.1.052
We survey 3,857 journal articles published on the four domestic academic journals in the industrial engineering field during 1975~2012. Titles, abstracts, and keywords of the papers are searched by means of text mining technique to draw the information on the methodologies and techniques adopted in the papers, and then we aggregate and merge similar ones to obtain final 38 representative methodologies and techniques. Trends of these methodologies and techniques are studied by analyzing frequencies, clustering, and finding association rules among them. Results of the paper can shed a light to choose tools in the future education and research in the industrial engineering related area.
Analysis on the Voting Activities of the 18th National Assembly of South Korea based on the Member-level Similarity
Kang, Pilsung ; Park, Youngjoon ; Cho, Sugon ; Kim, Seoung Bum ;
Journal of Korean Institute of Industrial Engineers, volume 40, issue 1, 2014, Pages 60~83
DOI : 10.7232/JKIIE.2014.40.1.060
This paper aims to propose a research framework of analyzing voting activities of a national assembly on the basis of member-level voting similarity and provides a case study in the
national assembly in South Korea. First, we propose a bill contentiousness measure that gives a higher score to bills for which ayes and noes are more diversified in both conservative and progressive parties. Based on the bill contentiousness measure, the top 5%, 10%, and 20% bills were identified and used for further analyses. Moreover, we propose a member-level voting similarity measure that compensates for the lower frequency of noes, and evaluate the pair-wise voting similarities for all lawmakers. Then, voting similarity differences to the affiliated/non-affiliated parties were analyzed for the members in the two major parties according to some internal/external key factors. Finally, similar voting groups were identified and their affiliations were investigated based on the multi-dimensional scaling (MDS) and network analysis techniques. A case study on the
national assembly of South Korea showed that the cohesion of the members in the `Hanara` party becomes higher than that of the `Minju` party as the bill contentiousness increases, whereas the number of elected, local constituency versus proportional representation, and the competition intensity in a local constituency were found to be partially influential to the voting activities of lawmakers. In addition, MDS and network analysis showed that there is a distinctive difference between two parties when all bills are analyzed, whereas the diversity of parties increases in the same group as the bill contentiousness increases.
Identification of DEA Determinant Input-Output Variables : an Illustration for Evaluating the Efficiency of Government-Sponsored R&D Projects
Park, Sungmin ;
Journal of Korean Institute of Industrial Engineers, volume 40, issue 1, 2014, Pages 84~99
DOI : 10.7232/JKIIE.2014.40.1.084
In this study, determinant input-output variables are identified for calculating Data Envelopment Analysis (DEA) efficiency scores relating to evaluating the efficiency of government-sponsored research and development (R&D) projects. In particular, this study proposes a systematic framework of design and analysis of experiments, called "all possible DEAs", for pinpointing DEA determinant input-output variables. In addition to correlation analyses, two modified measures of time series analysis are developed in order to check the similarities between a DEA complete data structure (CDS) versus the rest of incomplete data structures (IDSs). In this empirical analysis, a few DEA determinant input-output variables are found to be associated with a typical public R&D performance evaluation logic model, especially oriented to a mid- and long-term performance perspective. Among four variables, only two determinants are identified : "R&D manpower" (
) and "Sales revenue" (
). However, it should be pointed out that the input variable "R&D funds" (
) is insignificant for calculating DEA efficiency score even if it is a critical input for measuring efficiency of a government-sonsored R&D project from a practical point of view a priori. In this context, if practitioners` top priority is to see the efficiency between "R&D funds" (
) and "Sales revenue" (
), the DEA efficiency score cannot properly meet their expectations. Therefore, meticulous attention is required when using the DEA application for public R&D performance evaluation, considering that discrepancies can occur between practitioners` expectations and DEA efficiency scores.
Mobile Interaction Using Smartphones and Kinect in a Global Space
Kim, Min Seok ; Lee, Jae Yeol ;
Journal of Korean Institute of Industrial Engineers, volume 40, issue 1, 2014, Pages 100~107
DOI : 10.7232/JKIIE.2014.40.1.100
This paper presents a co-located and mobile interaction technique using smartphones in a global space. To effectively detect the locations and orientations of smartphones, the proposed approach utilizes Kinect that captures RGB image as well as 3D depth information. Based on the locations and orientations of smartphones, the proposed approach can support direct, collaborative and private interactions with the global space. Thus, it can provide more effective mobile interactions for local space exploration and collaboration.
An integrated Single Vendor-Single Buyer Production Inventory System Incorporating Warehouse Sizing Decisions
An, Heungjo ; Lee, Hyunsoo ;
Journal of Korean Institute of Industrial Engineers, volume 40, issue 1, 2014, Pages 108~117
DOI : 10.7232/JKIIE.2014.40.1.108
This study considers warehouse sizing decisions in an integrated single vendor-single buyer production inventory system by incorporating new decision variables and constraints associated with warehouse size into the formulations. Two typical inventory control policies proposed in the literature (i.e., Identical Delivery Quantity and Deliver What is Produced) have been investigated with consideration of warehouse investment costs. The numerical study shows that Deliver What is Produced is less flexible than Identical Delivery Quantity, resulting in the conclusion that the latter would be preferable when considering warehouse investment costs.
Optimal Reliability Strategy for k-out-of-n System Considering Redundancy and Maintenance
Lee, Youn-Ho ; Jung, Kwang-Kyun ; Yoon, Tae-Dong ; Kwon, Ki-Sang ;
Journal of Korean Institute of Industrial Engineers, volume 40, issue 1, 2014, Pages 118~127
DOI : 10.7232/JKIIE.2014.40.1.118
The configuration such as series, parallel and k-out-of-n of a repairable system directly affects its reliability. The maintenance strategy can also affect the overall performance of the system. The objective of this work is to investigate the possible trade-off between the configuration of a repairable k-out-of-n system and its maintenance strategy. The redundancy is considered to be the design decision variables, whereas the preventive maintenance period is considered to be the maintenance decision variables. The optimization model is used to minimize the overall life cycle cost associated with the system, considering constraint on reliability. Finally, genetic algorithm is used to find the optimal values for the decision variables. The result is compared with optimal values for considering redundancy and maintenance respectively.
Development of Seat Recommendation System for the Collaboration in Smart Work Center
Bae, Sung Moon ; Han, Kwan Hee ; Choi, Sang Hyun ; Park, Ju-Hyun ;
Journal of Korean Institute of Industrial Engineers, volume 40, issue 1, 2014, Pages 128~134
DOI : 10.7232/JKIIE.2014.40.1.128
With the development of Information Communication Technology and a way of solving problems such as productivity improvement, advanced working attitude, greenhouse gas reduction, low birth rate, aged problem, etc., the need of smart work is increasing. Getting out of legacy working types that are limited in time and space, the flexible seat system at a smart work center that supports the smart working environment is proposed. However, the seat choice based on employee`s emotional judgement may cause the decline of forming cooperative space and mutual communication because of the scattered seat arrangement between employees. This paper proposed a seat recommendation method for the mutual cooperation at a smart work center. The method is based on a work similarity of employees. A prototype system also implemented to show the feasibility.
Scheduling Performance Evaluation and Testing Functions of a Connection-Oriented Packet Switching Processor
Kim, Ju-Young ; Choi, Ki-Seok ;
Journal of Korean Institute of Industrial Engineers, volume 40, issue 1, 2014, Pages 135~139
DOI : 10.7232/JKIIE.2014.40.1.135
In a connection-oriented packet switching network, the data communication starts after a virtual circuit is established between source and destination. The virtual circuit establishment time includes the queue waiting times in the direction from source to destination and the other way around. We use this two-way queueing delay to evaluate scheduling policies of a packet switching processor through simulation studies. In this letter, we also suggest user testing functions for the packet switching processor to manage virtual circuits. By detecting error causes, the user testing helps the packet switching processor provide reliable connection-oriented services.
University Ranking Model Considering the Statistical Characteristics of Indicators
Park, Youngsun ;
Journal of Korean Institute of Industrial Engineers, volume 40, issue 1, 2014, Pages 140~150
DOI : 10.7232/JKIIE.2014.40.1.140
University ranking models, though they consider multiple indicators to evaluate universities, determine the overall score of each university based on their own normalization and aggregation methods. Thus, the rankings provided by such models primarily depend on actual scores of evaluation indicators, but they are also significantly affected by the normalization and aggregation methods. We examine the normalization methods of four university ranking models used in South Korea, China, and United Kingdom. We discuss a possible unintended consequence of these methods, i.e., some universities who want to improve their rankings may focus on unnecessary indicators, contrary to the evaluator`s intension, due to the normalization methods. We suggest a new normalization method based on the statistical characteristics of the distribution of each evaluation indicator so that the new method can motivate the universities to move into the desirable directions intended by the evaluator.