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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 41, Issue 6 - Dec 2015
Volume 41, Issue 5 - Oct 2015
Volume 41, Issue 4 - Aug 2015
Volume 41, Issue 3 - Jun 2015
Volume 41, Issue 2 - Apr 2015
Volume 41, Issue 1 - Feb 2015
Selecting the target year
Quay Wall Scheduling of Ships Using Assignment Method and Tabu Search Algorithm
Lee, Sang Hyup ; Hong, Soon Ik ; Ha, Seung Jin ;
Journal of Korean Institute of Industrial Engineers, volume 41, issue 1, 2015, Pages 1~9
DOI : 10.7232/JKIIE.2015.41.1.001
In shipbuling processes, a quay wall is a major resource for additional operations after an erection operation at dock. A quay wall is becoming a new bottleneck instead of docks, while ship types with long operation time at quay wall are increasing recently. We developed a quay wall scheduling algorithm for the quayside operations of ships in this paper. The objective function is to minimize the sum of not assigned days of ships which have to be assigned to any quay wall under limited numbers of quay walls. The scheduling algorithm is based on an assignment method to assign each ship to a quay wall among its alternative quay walls at the time of launching or moving to another quay wall. The scheduling algorithm is also using Tabu Search algorithm to optimize assignment sequence of ships. The experiment shows that the algorithms in this paper are effective to make schedule of the quayside operations of ships.
Prediction of New Customer's Degree of Loyalty of Internet Shopping Mall Using Continuous Conditional Random Field
Ahn, Gil Seung ; Hur, Sun ;
Journal of Korean Institute of Industrial Engineers, volume 41, issue 1, 2015, Pages 10~16
DOI : 10.7232/JKIIE.2015.41.1.010
In this study, we suggest a method to predict probability distribution of a new customer's degree of loyalty using C-CRF that reflects the RFM score and similarity to the neighbors of the customer. An RFM score prediction model is introduced to construct the first feature function of C-CRF. Integrating demographical similarity, purchasing characteristic similarity and purchase history similarity, we make a unified similarity variable to configure the second feature function of C-CRF. Then parameters of each feature function are estimated and we train our C-CRF model by training data set and suggest a probabilistic distribution to estimate a new customer's degree of loyalty. An example is provided to illustrate our model.
On OIML Mixed Acceptance Sampling Plans and Optimal Target Value for Products in Prepackages
Seo, Sun-Keun ;
Journal of Korean Institute of Industrial Engineers, volume 41, issue 1, 2015, Pages 17~24
DOI : 10.7232/JKIIE.2015.41.1.017
Mixed acceptance sampling plans for quantity of products in prepackages are widely used for compliance testing. To pass testing, random samples jointly comply with two legal requirements: (i) the average net content of an inspection lot shall be not less than the labelled quantity and (ii) the numbers of under-filled prepackages in a sample are less than or equal to permitted numbers. This paper discusses some drawbacks of the acceptance sampling plans and requirements recommended in OIML R87 (KS A 50087 translated by Korean) developed by the International Organization of Legal Metrology and evaluates the producer's and consumer's risks. In addition, problem of determining a target value in filling processes of prepackages under the OIML R87 requirements is addressed and illustrated with a numerical example.
A Study on Improving Classification Performance for Manufacturing Process Data with Multicollinearity and Imbalanced Distribution
Lee, Chae Jin ; Park, Cheong-Sool ; Kim, Jun Seok ; Baek, Jun-Geol ;
Journal of Korean Institute of Industrial Engineers, volume 41, issue 1, 2015, Pages 25~33
DOI : 10.7232/JKIIE.2015.41.1.025
From the viewpoint of applications to manufacturing, data mining is a useful method to find the meaningful knowledge or information about states of processes. But the data from manufacturing processes usually have two characteristics which are multicollinearity and imbalance distribution of data. Two characteristics are main causes which make bias to classification rules and select wrong variables as important variables. In the paper, we propose a new data mining procedure to solve the problem. First, to determine candidate variables, we propose the multiple hypothesis test. Second, to make unbiased classification rules, we propose the decision tree learning method with different weights for each category of quality variable. The experimental result with a real PDP (Plasma display panel) manufacturing data shows that the proposed procedure can make better information than other data mining procedures.
Modeling and Implementation of the Affordance-based Human-Machine Collaborative System
Oh, Yeong Gwang ; Ju, Ikchan ; Lee, Wooyeol ; Kim, Namhun ;
Journal of Korean Institute of Industrial Engineers, volume 41, issue 1, 2015, Pages 34~42
DOI : 10.7232/JKIIE.2015.41.1.034
Modeling and control of human-involved manufacturing systems poses a huge challenge on how to model all possible interactions among system components within the time and space dimensions. As the manufacturing environment are getting complicated, the importance of human in the manufacturing system is getting more and more spotlighted to incorporate the manufacturing flexibility. This paper presents a formal modeling methodology of affordance-based MPSG (Message-based Part State Graph) for a human-machine collaboration system incorporating supervisory control scheme for flexible manufacturing systems in automotive industry. Basically, we intend to extend the existing model of affordance-based MPSG to the real industrial application of humanmachine cooperative environments. The suggested extension with the real industrial example is illustrated in three steps; first, the manufacturing process and relevant data are analyzed in perspectives of MABA-MABA and the supervisory control; second, the manufacturing processes and task allocation between human and machine are mapped onto the concept of MABA-MABA; and the last, the affordance-based MPSG of humanmachine collaboration for the manufacturing process is presented with UMLs for verification.
Cognitive Modeling of Unusual Association with Declarative Knowledge by Positive Affect
Park, Sung-Jin ; Myung, Ro-Hae ;
Journal of Korean Institute of Industrial Engineers, volume 41, issue 1, 2015, Pages 43~49
DOI : 10.7232/JKIIE.2015.41.1.043
The aim of this study was to model unusual association with declarative knowledge by positive affect using ACT-R cognitive architecture. Existing research related with cognitive modeling tends to pay a lot of attention to strong and negative cognitive moderator. Mild positive affect, however, has far-reaching effects on problem solving and decision making. Typically, subjects with positive affect were more likely to respond to unusual associates in a word association task than subjects with neutral affect. In this study, a cognitive model using ACT-R cognitive architecture was developed to show the effect of positive affect on the cognitive organization related with memory. First, we organized the memory structure of stimulus word 'palm' based on published results in a word association task. Then, we decreased an ACT-R parameter that reflects the amount of weighting given to the dissimilarity between the stimulus word and the associate word to represent reorganized memory structure of the model by positive affect. As a result, no significant associate probability difference between model prediction and existing empirical data was found. The ACT-R cognitive architecture could be used to model the effect of positive affect on the unusual association by decreasing (manipulating) the weight of the dissimilarity. This study is useful in conducting model-based evaluation of the effects of positive affect in complex tasks involving memory, such as creative problem solving.
Driver's Trust and Requirements Study for Autonomous Vehicle Policy
Choe, Nam Ho ; Kim, Hyo Chang ; Choi, Jong Kyu ; Ji, Yong Gu ;
Journal of Korean Institute of Industrial Engineers, volume 41, issue 1, 2015, Pages 50~58
DOI : 10.7232/JKIIE.2015.41.1.050
The research on autonomous vehicle that expected to greatly reduce accidents by driver's mistakes is increasing in the development of technology. The purpose of this research is to identify the factor that affect trust in autonomous vehicles and analyze the requirements of the driver in autonomous vehicles environment. Therefore, in this study, we defined the information and functions provided by the autonomous vehicles through the investigation of the prior studies, conducted a questionnaire survey and focused group interview (FGI). The results show that competency, error management were important factors influencing trust in autonomous vehicles and identified that driver took safety related information as high priority in autonomous vehicle. Also, it was identified that driver prefer to perform the multimedia function in autonomous vehicle environment. The study is looking forward to be the reference data for design of advanced autonomous vehicle. It will contribute to the improvement of the convenience and satisfaction of the drivers.
Legible and Preferred Korean Sizes for Various Colors and Fonts
Jung, Kihyo ;
Journal of Korean Institute of Industrial Engineers, volume 41, issue 1, 2015, Pages 59~63
DOI : 10.7232/JKIIE.2015.41.1.059
A design guideline about legible and preferred Korean character sizes is necessary to provide better visual information in a group-view display. The present study examined the legible and preferred Korean character sizes by an experiment employing eight background-font colors and four representative font types (Gulim, Ming, Gothic, and Batang). Forty subjects (male : 20 and female : 20) in their 20s were recruited for the experiment. The legible and preferred sizes were determined based on the method of limits, one of psychological approaches. The results showed that the legible and preferred sizes increased as the contrast between background and font colors decreased. In addition, the legible and preferred sizes for Gulim were significantly smaller than those of the other font types. It is expected that the present study may contribute to providing better visual information in a group view display.
Topic Model Analysis of Research Trend on Spatial Big Data
Lee, Won Sang ; Sohn, So Young ;
Journal of Korean Institute of Industrial Engineers, volume 41, issue 1, 2015, Pages 64~73
DOI : 10.7232/JKIIE.2015.41.1.064
Recent emergence of spatial big data attracts the attention of various research groups. This paper analyzes the research trend on spatial big data by text mining the related Scopus DB. We apply topic model and network analysis to the extracted abstracts of articles related to spatial big data. It was observed that optics, astronomy, and computer science are the major areas of spatial big data analysis. The major topics discovered from the articles are related to mobile/cloud/smart service of spatial big data in urban setting. Trends of discovered topics are provided over periods along with the results of topic network. We expect that uncovered areas of spatial big data research can be further explored.
Development of an Evaluation Protocol for a Bus Seat
Park, Jangwoon ; Lee, Hyewon ; Choi, Younggeun ; Park, Kwangae ; Kim, Moonjin ; You, Heecheon ;
Journal of Korean Institute of Industrial Engineers, volume 41, issue 1, 2015, Pages 74~78
DOI : 10.7232/JKIIE.2015.41.1.074
A bus seat is required to be ergonomically designed in terms of its shape and physical properties to increase seating comfort. The present study is intended to develop a systematic bus seat evaluation protocol based on seating comfort. A total of 48 participants evaluated 12 parts (seat belt, recliner, armrest, headrest, upper-back support, lumbar support, seatback bolster, seatback overall, hip support, thigh support, seatpan bolster, and seatpan overall) of 12 bus seats with 17 subjective comfort measures (e.g., convenience of control, suitability of size, and overall comfort). Lastly, ergonomic features of shape and physical properties of each seat part were identified based on the subject evaluation analysis results. The developed bus seat evaluation protocol can be applied to evaluate various types of seats.
A Study on the Application of Modeling and Simulation for Planing Military Operations
Jung, Wan-Hee ;
Journal of Korean Institute of Industrial Engineers, volume 41, issue 1, 2015, Pages 79~85
DOI : 10.7232/JKIIE.2015.41.1.079
Modeling and simulation has widely been used in the weapon systems acquisition, the military training, and the warfighting experimentation. A study of the warfighting experimentation had been relatively scarce in comparison to other fields (acquisition, training). The main reasons are 1) reliability of simulation model isn't sufficient and 2) collaboration between professional groups is too difficult. To solve this problem, the application framework of warfighting experimentation for military operations was proposed. And through the framework, the case study about sea fight was fulfilled. This framework provides connectivity between warfighting experimentation and military operations planning procedure. With improved reliability, active application of warfighting experimentation could contribute to fighting capability.
Analyzing Repair Processes Using Process Mining : A Case Study
Yang, Hanna ; Song, Minseok ;
Journal of Korean Institute of Industrial Engineers, volume 41, issue 1, 2015, Pages 86~96
DOI : 10.7232/JKIIE.2015.41.1.086
A lot of research works in the BPM area focuses on the development of new techniques in process mining. Even though the application of process mining to analyze real life process logs is important, only few case studies are available. Thus, in this paper, we conduct a case study on how to analyze a real life process log which comes from a Korean company in the heavy industry area. We analyze a customer service process that consists of a series of activities to enhance the level of customer satisfaction. In this case study, five research questions are derived based on collected questions from the company. Then we focus on bottleneck analysis, basic performance analysis and pattern analysis that are selected in order to answer the research questions. The analysis shows some abnormal behaviors in the process and possible ways to improve current processes are suggested.
Fan Case Design using Energy Conversion Ideal Function Based Taguchi Dynamic Characteristics
Ji, Soo Yoon ; Jang, Joong Soon ;
Journal of Korean Institute of Industrial Engineers, volume 41, issue 1, 2015, Pages 97~104
DOI : 10.7232/JKIIE.2015.41.1.097
An electric-motor which uses electric energy to dry laundry in a dryer generates wind by rotating a fan. The roles of electric motor and fan are crucial for drying. To reduce the noises or vibration, their performances should be improved. However, it requires a relatively high cost to redesign them. In this case, redesigning the fan case rather than the motor or the fan would be easier and cheaper. This paper is to apply Taguchi dynamic characteristic concept with the ideal function of energy conversion to redesign the fan case. Not only the increase of the wind power but also the decrease of noise, vibration and the other side effects are resulted.
A Study of Influencing Factors through the Follow-up on Commercialization of Transferred Technology from Government Funded Research Lab : A Case Study of A-institute
Yun, Yohan ; Kim, Yun Bae ; Kang, Ji Seok ; Jeong, Ga Seop ;
Journal of Korean Institute of Industrial Engineers, volume 41, issue 1, 2015, Pages 105~114
DOI : 10.7232/JKIIE.2015.41.1.105
An empirical analysis study applied to evaluate the effect of critical factors for technology transfer. The research aims to suggest ways of political support in order to facilitate technological transfer and commercialization of public research institute'technology. Based on previous researches, it is determined that five critical factors which effect on technology commercialization. These critical factors are used to derive the order of priority, attribute of the success, and failure factors. The result of this research emphasized on both roles of technology introduction motivation and type of technology transfer. In order to collect data for this research, it is carried out that survey and field study toward to technology user such as manufacturing companies which have contracted with institute A. This research has a meaning in aspects of verification of previous hypothesis through scientific approach and new findings of a significant factor that motivation determines the success or failure of technology commercialization.
A Study on Small-Sample Inspection Plan for New Product Quality Evaluation of Finite Population
Byun, Jai-Hyun ; Shin, Byung-Cheol ; Lee, Chang-Woo ;
Journal of Korean Institute of Industrial Engineers, volume 41, issue 1, 2015, Pages 115~120
DOI : 10.7232/JKIIE.2015.41.1.115
Evaluating product quality level is necessary before the manufactured items are delivered to the customer. When the amount of the items to be manufactured is limited and the product is of high price and should be evaluated by destructive testing, the number of samples to be tested should be as small as possible. This paper presents a small-sample inspection method using hyper-geometric distribution and Bayesian approach for finite small-sized population. A method of determining the minimum sample size is presented for given population size, allowable number of defectives, warranteed defective level, and confidence level which is the degree of confidence on the product quality level recognized by both the producer and the customer.