• The KIPS Transactions:PartD
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• v.14D no.1 s.111
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• pp.57-66
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• 2007

Organizations of Software development are very important issue on enhancement of a software quality as rapid progress of software industry. Especially there are diverse attempts for enhancement of test maturity of the software organization through some kinds of the test maturity model. But the current test maturity models based on CMM(Capability Maturity Model) lack part of actual testing measurement and only measure level of test maturity. To solve these problems, we suggest 'double V-model' to execute both software development process and test process simultaneously, and also 'test attributes to Maturity Levels Correlation Matrix' for evaluating level of test maturity included with definitions of test attribute and level. That is, we enhance TMM(Test Maturity Model) adopted with 'Improvement Suggestion' of TPI(Test Process Improvement) which is easy the evaluation of test maturity of organization and gives the direction of improvement to level up the test maturity for the measured organization. As a result, we will contribute to level up the test maturity of the organization.

• Korean Journal of Construction Engineering and Management
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• v.10 no.5
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• pp.16-27
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• 2009

Recently construction companies expand position for apartment house in construction market because of house supply rate increase and its amount. In addition, because the focus of house sale market has moved to customer from supplier, the importance of defect management is being issued currently. However, current apartment defect management is not satisfied with customer's demand for the lack of business process management, management organization, information feedback, and readiness for defect in construction phase. To solve this problem, this study proposed business process management improvement model for defect management. Proposed improvement model make information feedback, defect management business quality improvement, and improper process improvement through integrating defect management and quality management. It is expected to contribute to customer's satisfaction improvement and reliance improvement for construction companies.

• Journal of Korean Elementary Science Education
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• v.31 no.3
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• pp.311-320
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• 2012

The purpose of this study was to examine the effect of peer mentoring activity in elementary school. For this study, an experimental group was conducted for peer mentoring activity in science class. The mentoring team was organized by mento-mentee team according to the scores of science process skill and achievement. The objects of this study were the sixth grade of both an experimental group (28 students) and a control group (27 students) located in Incheon. The results of this study were as follows. First, the experimental group was shown more significant effect for improvement of science process skills than the control group (p<.05). As the result of analysis by groups, both of mento and mentee showed significant effect for improvement of science process skills. Second, the peer mentoring activity showed more significant effect for improvement of achievement (p<.05). As the result of analysis by groups, mentee showed significant effect for improvement achievement. But mento group didn't show significant effect. Third, the peer mentoring activity showed the effect for positive changes of scientific attitude. If matching the mentoring object effectively and conducting the classes applying peer mentoring activity based on the results of this study, it's expected to draw student' improvement of science academic, achievement and positive changes of scientific attitude.

• Journal of the Korean Society of Earth Science Education
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• v.2 no.1
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• pp.33-40
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• 2009

The purpose of this study is to examine the effect of higher grades in elementary the science process skill and Academic Achievement by IIM. To verify research problem, the subject of this study were five-grade students selected from One classes of an elementary school located in Ulsan : the experimental group is composed of thirty-four students who were participated in IIM teaching model situation. During six weeks, the IIM learning-based instruction was executed in th experimental group. Post-test showed following results: First, the experimental group showed a significant improvement in the science process skill. We look into detailly this, the experimental group showed a significant improvement in the basis science process skill. In particular, The sub-factor 'Observation', 'Measurement', 'expectation' of the science process skill effects a significant improvement. Second, the experimental group did showed a significant improvement in the Academic Achievement. In conclusion, IIM teaching model was more effective on science process skill and Academic Achievement. However, since the study has a limit on an objet of the study and the applied curriculum, the additional studies need to be conducted with an extended comparative group and curriculum.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.32 no.2
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• pp.132-139
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• 2009

Yield is a very important measure that can expresses simply for productivity and performance of company. So, yield is used widely in many industries nowadays. With the development of the information technology and online based real-time process monitoring technology, many industries operate the production lines that are developed into automation system. In these production lines, the product structures are very complexity and variety. So, there are many multi-variate processes that need to be monitored with many quality characteristics and associated process variables at the same time. These situations have made it possible to obtain super-large manufacturing process data sets. However, there are many difficulties with finding the cause of process variation or useful information in the high capacity database. In order to solve this problem, neural networks technique is a favorite technique that predicts the yield of process for process control. This paper uses a neural networks technique for improvement and maintenance of yield in manufacturing process. The purpose of this paper is to model the prediction of a sub process that has much effect to improve yields in total manufacturing process and the prediction of adjustment values of this sub process. These informations feedback into the process and the process is adjusted. Also, we show that the proposed model is useful to the manufacturing process through the case study.

• Journal of Digital Convergence
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• v.15 no.4
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• pp.199-204
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• 2017

Good product quality is so essential to enabling firms to succeed that how to make the product quality better through technology development is one of the most important issues that many CEOs think over. With regard to the product quality improvement from firms' technology development, this study has made an attempt to empirically investigate the effect of the external information network diversity on the product quality improvement of the small and medium-sized enterprises (SMEs) in the information technology (IT) sector, mediated by their production process improvement. This research illuminates the following two points by empirically analyzing the 310 IT SMEs through the ordinary least squares regression analysis. First, IT SMEs' external information network diversity has a positive influence on their product quality improvement from technology development. Second, IT SMEs' production process improvement partially mediates the impact of their external information network diversity on the product quality improvement.

• Journal of the Korean Institute of Electrical and Electronic Material Engineers
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• v.20 no.4
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• pp.325-331
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• 2007

In this study, the inter-metal dielectric material of FSG was changed by low-k material in $0.13{\mu}m$ foundry-compatible technology (FCT) device process based on fluorinated silicate glass (FSG). Black diamond (BD) was used as a low-k material with a dielectric constant of 2.95 for optimization and yield-improvement of the low-k based device process. For yield-improvement in low-k based device process, some problems such as photoresist (PR) poisoning, damage of low-k in etch/ash/cleaning process, and chemical mechanical planarization (CMP) delamination must be solved. The PR poisoning was not observed in BD based device. The pressure in CMP process decreased to 2.8 psi to remove the CMP delamination for Cu-CMP and USG-CMP. $H_2O$ ashing process was selected instead of $O_2$ ashing process due to the lowest condition of low-k damage. NE14 cleaning after ashing process lot the removal of organic residues in vias and trenches was employed for wet process instead of dilute HF (DHF) process. The similar-state of SRAM yield was obtained in Cu/low-k process compared with the conventional $0.13{\mu}m$ FCT device by the optimization of these process conditions.

• Journal of Korean Society for Quality Management
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• v.51 no.1
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• pp.55-65
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• 2023

Purpose: The purpose of this study is to propose an optimization process to improve product yield in the process using process data. Recently, research for low-cost and high-efficiency production in the manufacturing process using machine learning or deep learning has continued. Therefore, this study derives major variables that affect product defects in the manufacturing process using eXplainable Artificial Intelligence(XAI) method. After that, the optimal range of the variables is presented to propose a methodology for improving product yield. Methods: This study is conducted using the injection molding machine AI dataset released on the Korea AI Manufacturing Platform(KAMP) organized by KAIST. Using the XAI-based SHAP method, major variables affecting product defects are extracted from each process data. XGBoost and LightGBM were used as learning algorithms, 5-6 variables are extracted as the main process variables for the injection process. Subsequently, the optimal control range of each process variable is presented using the ICE method. Finally, the product yield improvement methodology of this study is proposed through a validation process using Test Data. Results: The results of this study are as follows. In the injection process data, it was confirmed that XGBoost had an improvement defect rate of 0.21% and LightGBM had an improvement defect rate of 0.29%, which were improved by 0.79%p and 0.71%p, respectively, compared to the existing defect rate of 1.00%. Conclusion: This study is a case study. A research methodology was proposed in the injection process, and it was confirmed that the product yield was improved through verification.

• Proceedings of the Safety Management and Science Conference
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• 2007.11a
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• pp.9-19
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• 2007

This study deals with the improvement of production process on a flow production system with the consideration of six sigma. We analyze the production process and survey the important factors of improvement of productivity. Using a six sigma, we find strategic point and suggest a reformation of production process. We applied a simulation technique to simulate the production line proposed by the result of the Six sigma. With the result of the simulation, this study analyzes the propriety of production line and proposes the alternatives of new production process.

• Journal of the Korea Safety Management & Science
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• v.9 no.6
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• pp.163-169
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• 2007

This study deals with the improvement of production process on a flow production system with the consideration of six sigma. We analyze the production process and survey the important factors of improvement of productivity. Using a six sigma, we find strategic point and suggest a reformation of production process. We applied a simulation technique to simulate the production line proposed by the result of the Six sigma. With the result of the simulation, this study analyzes the propriety of production line and proposes the alternatives of new production process.