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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
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A Decentralized Self-Control Strategy for Assembly Cell Using Bucket Brigade
Koo, Pyung Hoi ;
Journal of Korean Institute of Industrial Engineers, volume 41, issue 4, 2015, Pages 330~337
DOI : 10.7232/JKIIE.2015.41.4.330
A bucket-brigade is a way of transporting items where items are passed from one person to the next. The operation of the bucket brigade imitates the cooperative behavior of ants when brood, food or other resources are moved. Koo (2009) presented a bucket brigade-based assembly cell where each worker follows a simple rule: perform assembly operations on a product until the next worker downstream takes it over; then go back to the previous worker upstream to take over a new assembly job. In this way, the flow line is self-balanced without any predetermined job assignment. However, there are some productivity losses related to hand-off and blocking. This paper examines the hand-off and blocking losses and presents a new bucket brigade-based assembly cell where working areas for each assembler is restricted with the help of buffer interfaces. Simulation experiments are used to validate the performance of the new assembly system.
Method to Construct Feature Functions of C-CRF Using Regression Tree Analysis
Ahn, Gil Seung ; Hur, Sun ;
Journal of Korean Institute of Industrial Engineers, volume 41, issue 4, 2015, Pages 338~343
DOI : 10.7232/JKIIE.2015.41.4.338
We suggest a method to configure feature functions of continuous conditional random field (C-CRF). Regression tree and similarity analysis are introduced to construct the first and second feature functions of C-CRF, respectively. Rules from the regression tree are transformed to logic functions. If a logic in the set of rules is true for a data then it returns the corresponding value of leaf node and zero, otherwise. We build an Euclidean similarity matrix to define neighborhood, which constitute the second feature function. Using two feature functions, we make a C-CRF model and an illustrate example is provided.
The Framework for Adaptive ERP Systems Using the Ontology Model of a Manufacturing Supply Chain
Oh, Yeonggwang ; Han, Hweeyoung ; Shin, Dongmin ; Kim, Dongchul ; Kim, Namhun ;
Journal of Korean Institute of Industrial Engineers, volume 41, issue 4, 2015, Pages 344~351
DOI : 10.7232/JKIIE.2015.41.4.344
Recently, an ERP (Enterprise resource Planning) system has been becoming an essential S/W tool for companies to manage their business processes and manufacturing resources. As the information exchange becomes more complex, not only corporate companies but also small- and mid- sized enterprises (SMEs) are required to build an ERP system. However, for small- and middle- sized companies, the adoption of ERP systems becomes challenging due to high cost and long installation time of the system. This paper presents a novel concept of an adaptive ERP system incorporating the ontology structure of the business supply chain information. The proposed ERP installation methodology is illustrated with an example of a door-trim manufacturing company in the automotive supply chain.
Development of Safety and Environment Index for Vehicle Inspection Data Using Statistical Methods
Hong, Ji-sun ; Oh, Se-do ; Kim, Young-jin ; Youn, Young-han ; Baek, An-Sun ;
Journal of Korean Institute of Industrial Engineers, volume 41, issue 4, 2015, Pages 352~358
DOI : 10.7232/JKIIE.2015.41.4.352
It is important to guarantee the safety of vehicle to minimize the damage to the driver in case of the accidents. In order to inspect and later enhance the safety of vehicle, the owner of the vehicle usually have a vehicle safety inspection. The Korea Transportation Safety Authority (KOTSA) issues the Comprehensive Performance Inspection Certificate after vehicle inspection. The certificate only specify the legal inspection criteria for safety and measured values of the safety parameters, however, as ordinary driver in lack of expert knowledge about the vehicle is difficult to understand the contents of the Certificate. Thus, in this paper, the authors try to give the information about the inspection results in easier way to understand. This information not only guarantees the owner of the vehicle to better understand the inspection results, but it also gives the opportunity to the driver to deal with the specific problem listed in the results. The methods in this paper are to transform the vehicle inspection data into the non parametric distribution to easily represent the values to the index later on. Also, example indexes are presented to the actually inspected vehicle based on the reference distribution to show the better assessment of the developed method.
Influence of Interests in Geographical Indication on the Prediction of Price Change of Agricultural Product : Case of Apples
Choi, Hyo Shin ; Sohn, So Young ;
Journal of Korean Institute of Industrial Engineers, volume 41, issue 4, 2015, Pages 359~367
DOI : 10.7232/JKIIE.2015.41.4.359
Geographical Indication (GI) has been used with the expectation to influence customer buying behavior. In this research, we empirically investigate if such relationship exists using apple price changes in Korea along with web search traffic reflecting customers' interest in GI. The experimental results indicate that the apple price of the past, apple supply and web search traffic including GI name were significant on the prediction of price change of Chungju while web search traffic of regional name and that of product were significant for Cheongsong apples with GI. In Yeongcheon with no GI, the apple price of the past turns out to be significant only. The results indicated that interests in GI can help the price prediction but the regional name itself can play the same role, if the GI product is well known in association with the region.
A Case Study on Layout Improvement in Medium and Small-Sized Manufacturing Factories
Chung, Dae Kwon ; Yun, Won Young ;
Journal of Korean Institute of Industrial Engineers, volume 41, issue 4, 2015, Pages 368~380
DOI : 10.7232/JKIIE.2015.41.4.368
This paper deals with a case study of layout design and improvement in medium and small-sized manufacturing factories. The shop layout affects greatly the productivity of manufacturing systems and we introduce some cases in which shop layouts are changed to improve the productivity step by step. Based on case studies, we propose also some guides to improve and design the shop layout in medium and small-sized manufacturing factories.
N-gram Feature Selection for Text Classification Based on Symmetrical Conditional Probability and TF-IDF
Choi, Woo-Sik ; Kim, Seoung Bum ;
Journal of Korean Institute of Industrial Engineers, volume 41, issue 4, 2015, Pages 381~388
DOI : 10.7232/JKIIE.2015.41.4.381
The rapid growth of the World Wide Web and online information services has generated and made accessible a huge number of text documents. To analyze texts, selecting important keywords is an essential step. In this paper, we propose a feature selection method that combines a term frequency-inverse document frequency technique and symmetrical conditional probability. The proposed method can identify features with N-gram, the sequential multiword. The effectiveness of the proposed method is demonstrated through a real text data from the machine learning repository, University of California, Irvine.
Visual Search Model based on Saliency and Scene-Context in Real-World Images
Choi, Yoonhyung ; Oh, Hyungseok ; Myung, Rohae ;
Journal of Korean Institute of Industrial Engineers, volume 41, issue 4, 2015, Pages 389~395
DOI : 10.7232/JKIIE.2015.41.4.389
According to much research on cognitive science, the impact of the scene-context on human visual search in real-world images could be as important as the saliency. Therefore, this study proposed a method of Adaptive Control of Thought-Rational (ACT-R) modeling of visual search in real-world images, based on saliency and scene-context. The modeling method was developed by using the utility system of ACT-R to describe influences of saliency and scene-context in real-world images. Then, the validation of the model was performed, by comparing the data of the model and eye-tracking data from experiments in simple task in which subjects search some targets in indoor bedroom images. Results show that model data was quite well fit with eye-tracking data. In conclusion, the method of modeling human visual search proposed in this study should be used, in order to provide an accurate model of human performance in visual search tasks in real-world images.
A Study on the Optimal Allocation for Intelligence Assets Using MGIS and Genetic Algorithm
Kim, Younghwa ; Kim, Suhwan ;
Journal of Korean Institute of Industrial Engineers, volume 41, issue 4, 2015, Pages 396~407
DOI : 10.7232/JKIIE.2015.41.4.396
The literature about intelligence assets allocation focused on mainly single or partial assets such as TOD and GSR. Thus, it is limited in application to the actual environment of operating various assets. In addition, field units have generally vulnerabilities because of depending on qualitative analysis. Therefore, we need a methodology to ensure the validity and reliability of intelligence asset allocation. In this study, detection probability was generated using digital geospatial data in MGIS (Military Geographic Information System) and simulation logic of BCTP (Battle Commander Training Programs) in the R.O.K army. Then, the optimal allocation mathematical model applied concept of simultaneous integrated management, which was developed based on the partial set covering model. Also, the proposed GA (Genetic Algorithm) provided superior results compared to the mathematical model. Consequently, this study will support effectively decision making by the commander by offering the best alternatives for optimal allocation within a reasonable time.
Predicting Package Chip Quality Through Fail Bit Count Data from the Probe Test
Park, Jin Soo ; Kim, Seoung Bum ;
Journal of Korean Institute of Industrial Engineers, volume 41, issue 4, 2015, Pages 408~413
DOI : 10.7232/JKIIE.2015.41.4.408
The quality prediction of the semiconductor industry has been widely recognized as important and critical for quality improvement and productivity enhancement. The main objective of this paper is to predict the final quality of semiconductor chips based on fail bit count information obtained from probe tests. Our proposed method consists of solving the data imbalance problem, non-parametric variable selection, and adjusting the parameters of the model. We demonstrate the usefulness and applicability of the proposed procedure using a real data from a semiconductor manufacturing.