• Title/Summary/Keyword: data quality management system

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Estimation of Qualities and Inference of Operating Conditions for Optimization of Wafer Fabrication Using Artificial Intelligent Methods

  • Bae, Hyeon;Kim, Sung-Shin;Woo, Kwang-Bang
    • 제어로봇시스템학회:학술대회논문집
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    • 2005.06a
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    • pp.1101-1106
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    • 2005
  • The purpose of this study was to develop a process management system to manage ingot fabrication and the quality of the ingot. The ingot is the first manufactured material of wafers. Operating data (trace parameters) were collected on-line but quality data (measurement parameters) were measured by sampling inspection. The quality parameters were applied to evaluate the quality. Thus, preprocessing was necessary to extract useful information from the quality data. First, statistical methods were employed for data generation, and then modeling was accomplished, using the generated data, to improve the performance of the models. The function of the models is to predict the quality corresponding to the control parameters. The dynamic polynomial neural network (DPNN) was used for data modeling that used the ingot fabrication data.

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Analysis of IT Service Quality Elements Using Text Sentiment Analysis (텍스트 감정분석을 이용한 IT 서비스 품질요소 분석)

  • Kim, Hong Sam;Kim, Chong Su
    • Journal of Korean Society of Industrial and Systems Engineering
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    • v.43 no.4
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    • pp.33-40
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    • 2020
  • In order to satisfy customers, it is important to identify the quality elements that affect customers' satisfaction. The Kano model has been widely used in identifying multi-dimensional quality attributes in this purpose. However, the model suffers from various shortcomings and limitations, especially those related to survey practices such as the data amount, reply attitude and cost. In this research, a model based on the text sentiment analysis is proposed, which aims to substitute the survey-based data gathering process of Kano models with sentiment analysis. In this model, from the set of opinion text, quality elements for the research are extracted using the morpheme analysis. The opinions' polarity attributes are evaluated using text sentiment analysis, and those polarity text items are transformed into equivalent Kano survey questions. Replies for the transformed survey questions are generated based on the total score of the original data. Then, the question-reply set is analyzed using both the original Kano evaluation method and the satisfaction index method. The proposed research model has been tested using a large amount of data of public IT service project evaluations. The result shows that it can replace the existing practice and it promises advantages in terms of quality and cost of data gathering. The authors hope that the proposed model of this research may serve as a new quality analysis model for a wide range of areas.

Analysis of Water Qulity changes & Characterization at the Watershed in Han River Basin for Target indicator in TMDLs (수질오염총량관리 대상물질 확대를 위한 한강수계 하천수질 경향 및 수질특성 분석)

  • Choi, Ok Youn;Kim, Hong Tae;Seo, Hee Seung;Han, Ihn Sup
    • Journal of Korean Society on Water Environment
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    • v.33 no.1
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    • pp.15-33
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    • 2017
  • Based on the existing pollutant emissin standards which are armed at the pollutant concentration of each pollution source, government formulated and implemented new management system of total water pollutant emission. By virtue of this new management system, pollution loading amount of individual watershed could be controlled, which achieved the requirement of water quality management such as TP and BOD. In initiate stage of it's implement, BOD was selected as object of water quality management, While it's necessary to consider the continuity of water quality data and established pollutant management laws and policy. During the ongoing management, TP management was added into the system while simply BOD management was not enough. However, the frequency of algae bloom in Han-river showed a trend of same, even though TP was treated as additional control target. Therefore, this paper will analyze different water quality parameters and characteristic of water quality, so that this study can be provide as reference for watershed management of water quality, by which the applicable management period and target pollutant can be selected in the future.

Management Evaluation and Satisfaction of Multi-family Housing Residents (제도관리에 따른 공동주택 거주자의 관리 만족)

  • 홍선경;윤복자
    • Journal of the Korean housing association
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    • v.9 no.1
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    • pp.55-62
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    • 1998
  • The Purpose of this research is to identify management systems that effect to multi-family housing resident's management satisfaction. This study used survey data collected by Korea Reseach Institute for Human Settlement(KRIHS) in 1003. The major findings were as follows: 1) Residents in compulsary management system evaluated housing management higher than ones in optional management system. 2) Quality of mainternanace management and residents' reliability of the representative committee influenced to residents' overall satisfaction of housing management.

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Automatic Cleaning Algorithm of Asset Data for Transmission Cable (지중 송전케이블 자산데이터의 자동 정제 알고리즘 개발연구)

  • Hwang, Jae-Sang;Mun, Sung-Duk;Kim, Tae-Joon;Kim, Kang-Sik
    • KEPCO Journal on Electric Power and Energy
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    • v.7 no.1
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    • pp.79-84
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    • 2021
  • The fundamental element to be kept for big data analysis, artificial intelligence technologies and asset management system is a data quality, which could directly affect the entire system reliability. For this reason, the momentum of data cleaning works is recently increased and data cleaning methods have been investigating around the world. In the field of electric power, however, asset data cleaning methods have not been fully determined therefore, automatic cleaning algorithm of asset data for transmission cables has been studied in this paper. Cleaning algorithm is composed of missing data treatment and outlier data one. Rule-based and expert opinion based cleaning methods are converged and utilized for these dirty data.

A Study of SOFTWARE Quality Evaluation by the Use of Statistical Methods (통계적방법(統計的方法)을 이용(利用)한 SOFTWARE 품질평가(品質評價)에 관한 연구(硏究))

  • Kim, Jeong-Ja;Jo, Seong-Geon
    • Journal of Korean Society for Quality Management
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    • v.13 no.2
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    • pp.61-65
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    • 1985
  • The quality of a final SOFTWARE PACKAGE depends on many complicated factors in the software development process. This paper describes ststistical methods for establishing relationships between final quality and development process factors. The final software quality is represented by the number of errors through the system test phase. The data presented here were gathered during the course of a real IS-month development project. Regression theory is used for data analysis. Some of the interesting results include the observation that specification changes during the development process have an adverse effect on final software quality.

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Behavior of Water Quality in Freshwater Lake of Tide Reclaimed Area Using SWMM and WASP5 Models (SWMM과 WASP5모형을 이용한 간척지 담수호의 수질거동 특성 조사)

  • 김선주;김성준;이석호;이준우
    • Magazine of the Korean Society of Agricultural Engineers
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    • v.44 no.2
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    • pp.148-160
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    • 2002
  • Lake water quality assessment information is useful to anyone involved in lake management, from lakeshore owners to lake associations. 11 provides lake water quality, which can improve how to manage lake resources and how to measure current conditions. It also provides a knowledge base that can be used to protect and restore lakes. SWMM was applied to simulate the discharge and pollutant loads from Boryeong watershed, and WASP5 was applied to analyze the changes of water quality in Boryeong freshwater lake. In each model, the most suitable parameters were calculated through sensitive analysis and some parameters used default data. Simulated in SWMM and measured discharge showed the accuracy of 88.6%. T-N and T-P exceeds the criteria in the simulation of water quality in Boryeong freshwater lake, and control of pollutant loads in the main stream showed the most effective way. Integrated water quality management system was developed to give convenience in the operation of SWMM and WASP5 and data acquisition.

Literature Review of Key Success Factors of Management Innovation Actions in Domestic - Focused on Six Sigma, TQM, Lean Six Sigma, ERP, TPM, BPR, Project Management, System Engineering - (국내 경영혁신 활동의 핵심 성공요인 문헌 연구 - 6시그마, TQM, 린 6시그마, ERP, TPM, BPR, Project Management, System Engineering 중심으로 -)

  • Mun, JeOk;Yoon, SungPil
    • Journal of Korean Society for Quality Management
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    • v.44 no.3
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    • pp.639-648
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    • 2016
  • Purpose: Existing precedent studies include success factors of individual management innovation activities constantly. However, those studies have limitations about the common key success factors of individual management innovation activities. Methods: For this study, we investigate the key success factors using literature research of the most typical management innovation activities adopted and implemented by many companies in Korea, such as 6sigma, TQM, Lean 6sigma, ERP, TPM, BPR, Project Management, System Engineering. Factors emerging repeatedly was combined into common factors and inherent factors that are necessary for the success of individual management innovation activities are designated to essential factors. Results: 'Essential factors for Six Sigma' consist of 5 items. Black belt operating system, personnel management system linkage, the correct management of the data, perform improvement projects associated with financial performance financial result, linked to financial performance improvement project, project progress management. 'Essential factors of TQM' are arranged 4 items. Quality team's independence and role, goal-setting, Quality Information System, corporate's philosophy of quality first. 'Essential factors of Lean Six Sigma' are the selection of value stream which is based on the customer needs and the value creation and identify the project based on the selected value in the company. 'Essential factors of ERP' are investigated 6 items. Ongoing system maintenance and upgrades, the measurement and support of user satisfaction, the operating systems and the policies for the maintenance, IT infrastructure, change adaption condition monitoring, focusing on improving business performance. 'Essential factors for TPM' are arranged 4 items. Motivated and energetic Bottom-Up, CEO's recognition of the importance facility management, long-term perspective of necessity and ongoing patience. 'Essential factors for BPR' are the pursuit of change process and the staff's sense of crisis management. 'Essential factors for Project Management' are the strategy that reduce the risk management skills through risk management and the understanding and organized management for the project participant's needs. 'Essential factors for System Engineering' consist of 2 items. The first is the design for the best balanced system with pre-analysis about the compromise the cost, schedule and the performance. The second is the analysis of large problem into small problems which can solved. We have found the solution considering components of the interface through the systematic perspective. Conclusion: Common factors and essential factors presented in this study will properly help to introduce the individual management innovation activities for the each business sector and implement management innovation. After this study, new literature research that reflect new studies should accomplish steadily.

FEASIBILITY OF A RFID-BASED MONITORING SYSTEM FOR THE CONCRETE POUR PROCESS

  • S. W. Moon;S. M. Hong
    • International conference on construction engineering and project management
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    • 2007.03a
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    • pp.433-439
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    • 2007
  • A ubiquitous environment in construction requires integrating hardware and software systems. Currently the Construction System Integration Lab (CSIL) at Pusan National University is currently studying the application of ubiquitous technology for better communication in the construction process. In this paper, a pilot of Ubiquitous Concrete Pour System (u-CPS) has been presented to demonstrate the effectiveness of data exchange in the concrete pour process. The u-CPS environment takes advantage of the RFID technology for collecting construction data. The pilot can automatically generate the data for concrete pour work such as departure time, arrival time, concrete pour time. Construction managers can keep track of the progress of concrete pour work using the information. A case study was done for a building construction using the pilot system, the result of which demonstrated that the RFID-base system can help improve the effectiveness of data communication during the concrete pour process.

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Understanding and Misuse Type of Quality Improvement Tools According to the Kind of Data and the Number of Population in DMAIC Process of Six Sigma (식스시그마 DMAIC 프로세스에서 모집단의 수와 데이터 종류에 따른 품질개선 기법의 오적용 유형 및 이해)

  • Choi, Sung-Woon
    • Proceedings of the Safety Management and Science Conference
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    • 2010.04a
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    • pp.509-517
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    • 2010
  • The paper proposes the misuse types of statistical quality tools according to the kind of data and the number of population in DMAIC process of six sigma. The result presented in this paper can be extended to the QC story 15 steps of QC circle. The study also provides the improvement methods about control chart, measurement system analysis, statistical difference, and practical equivalence.

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