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REFERENCE LINKING PLATFORM OF KOREA S&T JOURNALS
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Journal DOI :
Korean Institute of Industrial Engineers
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Volume & Issues
Volume 23, Issue 4 - Dec 2010
Volume 23, Issue 3 - Sep 2010
Volume 23, Issue 2 - Jun 2010
Volume 23, Issue 1 - Mar 2010
Selecting the target year
Building an e-TRM System to Increase the Efficiency of National R&D Planning
Kim, Karp-Soo ; Park, Eui-Suk ; Lee, Sung-Joo ; Lim, Byung-Hyuck ;
IE interfaces, volume 23, issue 4, 2010, Pages 264~274
The potential of roadmapping systems in updating, maintaining and sharing technology roadmaps has been argued in many articles but the systems have not been dealt with as a research topic. Therefore, this research purposes to develop an online roadmapping system, which is called an e-TRM system, to improve the efficiency of roadmapping at the national level in Korea. For the purpose, the roadmapping process for national R&D planning and its main activities were analyzed, based on which system requirements and main functions were identified. After the functions were successfully implemented in the TRM system, the system was applied to the 2009 national roadmapping process to verify its feasibility and utility. The system will enable to digitalize R&D planning in Korea and share the planning results nationwide. Also, the research results are expected to provide useful guidelines for those who are in charge of developing TRM systems.
A Case Study of Implementation of a BSC Performance Evaluation System in Manufacturing Industry based on Product Data Management
Oh, Jeong-Su ; Yang, Jeong-Sam ;
IE interfaces, volume 23, issue 4, 2010, Pages 275~285
In complex industrial world, many companies make every effort to analyze their competition capability through various performance evaluation tools to cope with rapidly changing business environment. Among evaluation tools the balanced scorecard (BSC), put forward by Kaplan and Norton in 1992, is a strategic performance management tool for measuring whether the smaller-scale operational activities of a company are aligned with its larger-scale objectives in terms of vision and strategy. The BSC tool offers a comparative advantage over others to evaluate the objective achievement of a company by linking its strategic objectives with operational KPI. In this paper, we introduce a case that the BSC performance evaluation system was implemented based on product data management and applied it to the business process. Specially, we shows a implementation procedure to derive discipline-specific topics and key performance metrics.
A Methodology of Analyzing Effects of an Environmentally Friendly Transportation Service : The Case of Carsharing Service
Yoon, Byung-Un ; Rhee, Jong-Tae ; Kim, Ji-Tae ;
IE interfaces, volume 23, issue 4, 2010, Pages 286~299
Recently, as concerns about environmental improvement have increased, various environmentally friendly transportation services have been developed and introduced. However, the effect on the introduction of such services has been not analyzed through a systematic methodology and process. Therefore, this research aims at suggesting a framework to analyze the effect of an environmentally friendly transportation service and investigating the validity of the framework. To the ends, a process to analyze the degree of improvement in transportation systems and environments, the linkage with existing policies, and profitability of the service is proposed. In addition, the concept and value of carsharing service, a representative environmentally friendly transportation service are explained and then the effects of the service are examined in terms of the aforementioned analytic areas, respectively. The results of this research can be utilized to provide the validity of a newly developed environmentally friendly transportation service and reflected to the policies of transportation and environment.
A Study on the Strategy for Optimizing Investment Portfolios
Gu, Seung-Hwan ; Jang, Seong-Yong ;
IE interfaces, volume 23, issue 4, 2010, Pages 300~310
This paper is about an optimal investment portfolio strategy. Financial data of stocks, bonds, and savings from January 2. 2001 through October 30. 2009 were utilized in order to suggest the optimal portfolio strategies. Fundamental analysis and technical analysis were used in stocks-related strategy, whereas passive investment strategy and active investment strategy were used in bond-related strategy. The score is assigned to each stock index according to the suggested strategies and set trading rules are based on the scores. The simulation has been executed about each 29,400-portfolios and we figured out with the simulation result that 26.75% of 7,864 portfolios are more profitable than average stock market profit (22.6%, Annualized). The outcome of this research is summarized in two parts. First, it's the rebalancing strategy of portfolio. The result shows that value-oriented investment(long-term investment) strategy yields much higher than short-term investment strategies of stocks or active investment of bonds. Second, it's about the rebalancing cycle forming the portfolios. The result shows that the rate of return for the portfolio is the best when rebalancing cycle is 12 or 18 months.
Development of Operating Guidelines of a Multi-reservoir System Using an Artificial Neural Network Model
Na, Mi-Suk ; Kim, Jae-Hee ; Kim, Sheung-Kown ;
IE interfaces, volume 23, issue 4, 2010, Pages 311~318
In the daily multi-reservoir operating problem, monthly storage targets can be used as principal operational guidelines. In this study, we tested the use of a simple back-propagation Artificial Neural Network (ANN) model to derive monthly storage guideline for daily Coordinated Multi-reservoir Operating Model (CoMOM) of the Han-River basin. This approach is based on the belief that the optimum solution of the daily CoMOM has a good performance, and the ANN model trained with the results of daily CoMOM would produce effective monthly operating guidelines. The optimum results of daily CoMOM is used as the training set for the back-propagation ANN model, which is designed to derive monthly reservoir storage targets in the basin. For the input patterns of the ANN model, we adopted the ratios of initial storage of each dam to the storage of Paldang dam, ratios of monthly expected inflow of each dam to the total inflow of the whole basin, ratios of monthly demand at each dam to the total demand of the whole basin, ratio of total storage of the whole basin to the active storage of Paldang dam, and the ratio of total inflow of the whole basin to the active storage of the whole basin. And the output pattern of ANN model is the optimal final storages that are generated by the daily CoMOM. Then, we analyzed the performance of the ANN model by using a real-time simulation procedure for the multi-reservoir system of the Han-river basin, assuming that historical inflows from October 1st, 2004 to June 30th, 2007 (except July, August, September) were occurred. The simulation results showed that by utilizing the monthly storage target provided by the ANN model, we could reduce the spillages, increase hydropower generation, and secure more water at the end of the planning horizon compared to the historical records.
Economic Value Analysis of Supercomputing Service for Small and Medium-sized Businesses
Kim, Jae-Sung ; Lee, Sang-Min ; Kim, Myung-Il ; Jang, Jin-Gyu ;
IE interfaces, volume 23, issue 4, 2010, Pages 319~326
The SMB supercomputing service provides a supercomputing infrastructure for Small and Medium-sized Business (SMB) to enhance the efficiency of product development activity. In this study, the economic value of SMB supercomputing service is presented. The economic value of service is comprised of a direct and an indirect economic value. A direct economic value was estimated based on the result of user survey on service effectiveness. The input-output analysis method was adopted to estimate an indirect economic value induced from a direct economic value. The future economic value based on the result of user demand survey is also presented. As a result, the annual and future economic value of service were estimated about 55,215 million won and 323,928 million won, respectively.
The Impacts of the Number of Suppliers on Inventory Management in a Make-to-order Manufacturer
Kim, Eun-Gab ;
IE interfaces, volume 23, issue 4, 2010, Pages 327~336
We consider a supply chain consisting of a make-to-order manufacturer and N component suppliers and study the impacts of the number of suppliers on component inventory management. The manufacturer has full information and continuously observes the state of both component inventory level and customer backorders. Based on this information, the manufacturer determines whether or not to place a component purchasing order to a supplier among N suppliers even though some orders are in process by other suppliers. The goal of this paper is to numerically identify the manufacturer's purchasing policy which minimizes the total supply chain cost and the best choice of N. Our model contributes to the current literature in that the problem of simultaneously considering multiple outstanding orders and incorporating order setup cost into the model has not been covered yet. From numerical experiment, we investigate how much the policy with N suppliers can contribute to reducing the supply cost compared to the policy with a single supplier.
Analysis of Diffusion Pattern in New Product and Services Based on Two-pieces Bass Model
Hong, Seok-Kee ; Hong, Jung-Sik ;
IE interfaces, volume 23, issue 4, 2010, Pages 337~348
The Bass model is the most widely used model in research of new product diffusion because it presents a nice explanation on the diffusion process of new products. However, it has a limitation that its performance of fitness is lower as the available data become less and also, the diffusion curve is bell-shape and so, it can not represent the various diffusion patterns. Recently, a two-pieces Bass model is developed and applied to analyze diffusion of 10 products. The results are encouraging in terms of fitness. However, diffusion pattern is not dealt with in the paper. In this paper, analysis of diffusion pattern is in depth addressed in two-pieces Bass model. It is shown that the diffusion curves are divided into 3 types with respect to the peak adoption rate and each type is divided into 2 types further. Takeoff time of a diffusion process is analyzed by using the inflection point and regime-change time where it represents the point that imitation and innovation parameters change. Empirical studies for 68 products(28 domestic products and 40 USA products) are performed to analyze the diffusion pattern. Findings are that diffusion patterns of all products except 1 USA product show type I and regime-change time becomes shorter as the introduction time of the product is later in domestic products and regime-change time can be regarded as a takeoff time in 47% of total 68 products.
Development of Traffic Congestion Prediction Module Using Vehicle Detection System for Intelligent Transportation System
Sin, Won-Sik ; Oh, Se-Do ; Kim, Young-Jin ;
IE interfaces, volume 23, issue 4, 2010, Pages 349~356
The role of Intelligent Transportation System (ITS) is to efficiently manipulate the traffic flow and reduce the cost in logistics by using the state of the art technologies which combine telecommunication, sensor, and control technology. Especially, the hardware part of ITS is rapidly adapting to the up-to-date techniques in GPS and telematics to provide essential raw data to the controllers. However, the software part of ITS needs more sophisticated techniques to take care of vast amount of on-line data to be analyzed by the controller for their decision makings. In this paper, the authors develop a traffic congestion prediction model based on several different parameters from the sensory data captured in the Vehicle Detection System (VDS). This model uses the neural network technology in analyzing the traffic flow and predicting the traffic congestion in the designated area. This model also validates the results by analyzing the errors between actual traffic data and prediction program.
Modeling and Performance Analysis of Distance-Based Registration Considering Implicit Registration
Lee, Tae-Han ; Suh, Jae-Joon ; Moon, Yu-Ri ; Baek, Jang-Hyun ;
IE interfaces, volume 23, issue 4, 2010, Pages 357~364
In this study, we consider performance analysis of distance-based registration (DBR). DBR causes a mobile station (MS) to register its location when the distance between the current base station (BS) and the BS in which it last registered exceeds a distance threshold D. In general, DBR has some advantages over the other registration schemes but has a tendency to causes an MS to register more frequently than zone-based registration (ZBR) that is adopted in most of mobile communication systems. The DBR with implicit registration (DBIR) was proposed to improve the performance of DBR. In this study, we point out some problems of the previous analytical model based on continuous time Markov chain and analyze exact performance of the DBIR. We show that the DBIR always outperforms the DBR by using our exact analytical model.
Remote Health Monitoring of Parkinson's Disease Severity Using Signomial Regression Model
Jeong, Young-Seon ; Lee, Chung-Mok ; Kim, Nor-Man ; Lee, Kyung-Sik ;
IE interfaces, volume 23, issue 4, 2010, Pages 365~371
In this study, we propose a novel remote health monitoring system to accurately predict Parkinson's disease severity using a signomial regression method. In order to characterize the Parkinson's disease severity, sixteen biomedical voice measurements associated with symptoms of the Parkinson's disease, are used to develop the telemonitoring model for early detection of the Parkinson's disease. The proposed approach could be utilized for not only prediction purposes, but also interpretation purposes in practice, providing an explicit description of the resulting function in the original input space. Compared to the accuracy performance with the existing methods, the proposed algorithm produces less error rate for predicting Parkinson's disease severity.