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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
Selecting the target year
Scenario-Based Optimization of Patient Distribution and Medical Resource Allocation in Disaster Response
Jin, Sukho ; Kim, Jangyeop ; Kim, Kyungsup ; Jeong, Sukjae ;
Journal of Korean Institute of Industrial Engineers, volume 40, issue 2, 2014, Pages 151~162
DOI : 10.7232/JKIIE.2014.40.2.151
This study proposes an optimization model to plan the patient distribution and medical resource allocation considering the diverse characteristics of disaster. For reflecting the particularity of disaster response, we configured a few scenarios such as availability of emergency surgery of non-major medical staff and the change in number of patients estimated reflecting the uncertainty, urgency and convergence of disaster. And we finally tested the effects of the scenarios' combination on the objective function defined as maximum number of survival patients. Our experimental results are expected to highlight the significance of the proposed model as well as the applicability of scenarios under disaster response.
Epidemic Disease Spreading Simulation Model Based on Census Data
Hwang, Kyosang ; Lee, Taesik ; Lee, Hyunrok ;
Journal of Korean Institute of Industrial Engineers, volume 40, issue 2, 2014, Pages 163~171
DOI : 10.7232/JKIIE.2014.40.2.163
Epidemic models are used to analyze the spreading of epidemic diseases, estimate public health needs, and assess the effectiveness of mitigation strategies. Modeling scope of an epidemic model ranges from the regional scale to national and global scale. Most of the epidemic models developed in Korea are at the national scale using the equation-based model. While these models are useful for designing and evaluating national public health policies, they do not provide sufficient details. As an alternative, individual-based models at the regional scale are often used to describe disease spreading, so that various mitigation strategies can be designed and tested. This paper presents an individual-based epidemic spreading model at regional scale. This model incorporates 2005 census data to build the synthetic population in the model representing Daejeon in 2005. The model's capability is demonstrated by an example where we assess the effectiveness of several mitigation strategies using the model.
Efficiency Analysis and Strategic Portfolio Model of National Health Technology R&D Program Using DEA : Focused on Translational Research
Lee, Cheolhaeng ; Cho, Keuntae ;
Journal of Korean Institute of Industrial Engineers, volume 40, issue 2, 2014, Pages 172~183
DOI : 10.7232/JKIIE.2014.40.2.172
This paper measures and compares the efficiency of national health technology R&D programs focused on translational research program increasing importance using data envelopment analysis (DEA). Three input variables and three output variables are selected for DEA. Inputs are funds, researchers, and project period and outputs are SCI (E) papers, applied and granted patents, and impact factor. This study uses a three-stage approach. In the first stage, output-based DEA model is applied to evaluate the efficiency of decision making unit (DMU). In the second stage, based on efficiency scores of target diseases high-efficiency group and low-efficiency group are classified. And then strategic portfolio matrix of translational research program is composed of four dimensions combining research types. Mann-Whitney U test is then run to compare average efficiency scores among four groups. In the final stage, Tobit regression model is used to estimate factors likely to influence the efficiency. The results are expected to provide policy implications for effectively establishing investment strategy and managing performance of R&D program.
Hybrid Heuristic Using Hierarchical Decomposition and Optimization for the Nurse Rostering Problem
Jang, Yoon Hee ; Kim, Sun Hoon ; Lee, Young Hoon ;
Journal of Korean Institute of Industrial Engineers, volume 40, issue 2, 2014, Pages 184~194
DOI : 10.7232/JKIIE.2014.40.2.184
Numerous studies have been studied to provide an efficient solution for the Nurse Rostering Problem (NRP), most of which have suffered from its complexity arising from incorporating nurse's work shift and ability. The test-bed data for the NRP is released for the public Competition in 2010. This study suggests a new mixed integer programming for Nurse Rostering Problem and develops a hybrid approach, where a hierarchical decomposition and the corresponding optimization are combined. The computation experiment is performed to show that the suggested algorithms may give a better solution in various instances, compared to the one appeared in the literature.
On Renewable Energy Technology Valuation Using System Dynamics and Compound Real Options
Jeon, Chanwoong ; Shin, Juneseuk ;
Journal of Korean Institute of Industrial Engineers, volume 40, issue 2, 2014, Pages 195~204
DOI : 10.7232/JKIIE.2014.40.2.195
The transition from fossil to renewable energy is inevitable due to fossil depletion. So, Renewable energy is very important for energy security and economic growth although it's R&D is long-term and high risky project. We propose new valuation method which combined system dynamics and compound real option method for long-term and high risk projects such as renewable energy. This method can show dynamic valuation results for the complex causal interaction and be easy for Monte-Carlo simulation to estimate volatility. And it can reflect the value of flexible decision for uncertainty. We applied the empirical analysis for Korea's photovoltaic industry by using this method. As results by empirical analysis, photovoltaic's R&D has high valuation using this method compared by traditional valuation methods such as DCF.
Analysis of Chinese Provinces for Introduction of Reverse Mortgage Scheme Using Principal Component Analysis
Wang, Ping ; Kim, Jipyo ;
Journal of Korean Institute of Industrial Engineers, volume 40, issue 2, 2014, Pages 205~214
DOI : 10.7232/JKIIE.2014.40.2.205
As a result of the rapid economic growth and birth control policy, China is experiencing low fertility rates and increasing life expectancy, which makes Chinese population aging very quickly and unprepared for their retired life. The reverse mortgage may be an attractive option for the elderly because it is a loan against a house that they do not have to pay back as long as they live there. In this paper, in order to introduce the reverse mortgage scheme in China the factors that could influence the demand of reverse mortgage are reviewed and the Chinese market environment is analyzed. Then the principal component analysis is performed in order to recommend the regions or cities that have higher potential for successful implementation of a reverse mortgage than any other ones in China.
A Real-Time Loading Strategy of Batch Processing Machines for Average Tardiness Minimization
Koo, Pyung-Hoi ;
Journal of Korean Institute of Industrial Engineers, volume 40, issue 2, 2014, Pages 215~222
DOI : 10.7232/JKIIE.2014.40.2.215
This paper provides a real-time loading strategy for batch processing machines in which a number of jobs are simultaneously processed as a batch. The batch processing machines can be seen in both manufacturing industries (e.g., semiconductor, automobile and metal working) and service industries (transportation vehicles, mail shipment and theme park). This paper focuses on batch processing machines in semiconductor manufacturing. We present a look-ahead loading strategy for tardiness minimization where future arrivals and due dates are taken into consideration. Simulation tests are performed on the presented strategy and some existing loading heuristics under various production settings with different traffic intensities and forecasting errors. Experimental results show that our strategy provides the performance of good quality.
A Case Study of Eco-Design for a Small-Size Electric Heater by Performance, Usability, and Life-Cycle Assessments
Lee, Baekhee ; You, Heecheon ;
Journal of Korean Institute of Industrial Engineers, volume 40, issue 2, 2014, Pages 223~232
DOI : 10.7232/JKIIE.2014.40.2.223
Life-cycle assessment (LCA) is often employed to quantify the environmental impact of a product in a comprehensive manner. The aspects of performance and usability as well as that of eco-friendliness should be considered in an integrated manner for the market competitiveness of an eco-friendly product. The present study developed a product improvement plan for an eco-friendly electric heater by benchmarking two small-size electric heaters (companies 'H' and 'T') in terms of performance, usability, and eco-friendliness. The performance measurements such as temperature, humidity, wind speed, noise, and power consumption were collected while the two heaters were operated in a laboratory setting. Then, the usability evaluations such as aesthetics, operation satisfaction, performance satisfaction, and overall satisfaction were surveyed for the two heaters using a 5-point scale (1 for very unsatisfied and 5 for very satisfied). Lastly, the LCA analysis was conducted by following the six-step process of eco-friendly product design provided by KEITI. The analysis results of the two products being integrated with the aspects of product, service, and user, four design improvement directions such as eco-efficient, smart, modularized, and user-support were recommended for an eco-friendly electric heater. These proposed concepts would be useful to develop an eco-friendly electric heater design with a high level of market competitiveness.
Determination of an Optimal Production Run Length in a Deteriorating Production Process with Rework
Kim, Chang Hyun ;
Journal of Korean Institute of Industrial Engineers, volume 40, issue 2, 2014, Pages 233~239
DOI : 10.7232/JKIIE.2014.40.2.233
This paper presents an extended EMQ model which determines an optimal production run length in an deteriorating production process. The production process is subject to a random deterioration from an in-control state to an out-of-control state and thus producing some proportion of defective items. Defective items produced are re-processed in the rework process to convert them into non-defectives. Through the mathematical modeling, an optimal solution minimizing the average cost per unit time as well as minimum average cost are derived. Numerical experiment is carried out to examine the behavior of the proposed model depending on model parameters.
Determination of Commercialization Potential Through Patent Attribute Assessment in Lithium Ion Battery Technology
Kim, Wanki ;
Journal of Korean Institute of Industrial Engineers, volume 40, issue 2, 2014, Pages 240~249
DOI : 10.7232/JKIIE.2014.40.2.240
This study aims to identify an assessment system based on multiple patent indices that can predict the likelihood of success in the commercialization of a patented technology in advance. In addition, we examine the effectiveness of our predictive model in identifying valuable technologies early on. We analyzed 3,063 secondary battery technologies patented in the US over the past 10 years. Our analysis identified 22 of the 25 most promising patented technologies, corresponding with the top 50% of industry-patented technologies that directly and indirectly succeeded in commercialization. These results support our claim that it is possible to identify attributes for the assessment of patent commercial potential to a significant degree. Our system presents a useful assessment index in the forecasting and determination of potential commercial success of patented technologies.
A Study on Relationship between Financial Performance and Characteristics of Self-Employed Creative Company
Chang, Young-Soon ; Yuk, Hun-Young ; Seo, Jong-Hyen ;
Journal of Korean Institute of Industrial Engineers, volume 40, issue 2, 2014, Pages 250~256
DOI : 10.7232/JKIIE.2014.40.2.250
In order to create more jobs and cope with big change of economic paradigm, a self employed creative company is suggested as an alternative mean. The understanding of relationship between performance and characteristics of self employed creative company will be helpful in establishing and efficiently operating a relevant government policy. Therefore, this study identifies empirically relationship between financial performance and characteristics of self-employed creative company. Through exploratory factor analysis and regression analysis, creativity and network is essential in increasing the financial performance of self-employed creative company.