• Title/Summary/Keyword: Quality Management Process

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A Study on the New Rolling Stock Vehicle Maintenance Technology and Discussion on Quality Assurance Measures (신규 도입차량 유지관리 기술과 품질보증 대책에 대한 고찰)

  • Choi, Seog-Jung;Kim, Moon-Hong;Kim, Bong-Rae
    • Proceedings of the KSR Conference
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    • 2011.10a
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    • pp.27-37
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    • 2011
  • Currently, in the course of introducing rolling stocks, RAMS standard and management by system engineering method apply to rolling stock system. Technical elements and results applied in system introduction phase are just used in acquisition stage, and these are not applied to the standard in railway site. Therefore, it is difficult to apply to standardized technology and quality assurance measure. Due to the establishment of the EU, railway operation system is internationalized and the international railway standards are being discussed in various ways. In addition, standardization is expanded from manufacture to operation and maintenance. It is to provide consistent standard in quality, cost calculation of maintenance technology, maintenance technology and quality assurance in case of international railway safety incidents. Therefore, this study is to find technology, quality and cost management model to be used for choosing railway-operation guidance by considering how technologies & quality have changed in system life cycle, compared with estimated standards, based on the technologies & quality-related result in the process of getting new rolling stocks and management guidance for operation & maintenance process.

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Estimation of Process Parameters Using QFD and Neural Networks in Injection Molding (품질기능전개와 신경망 회로를 이용한 사출성형 공정변수의 예측)

  • Koh, Bum-Wok;Kim, Jong-Seong;Choi, Hoo-Gon
    • IE interfaces
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    • v.21 no.2
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    • pp.221-228
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    • 2008
  • The injection molding process is able to produce high precision manufactures as a single process with fast speed. However, the prices of both the mold and the molding machine are expensive, and the single process is very complex and difficult to compose of the exact relationship between the process setting conditions and the product quality. Therefore, the quality of a molded product often depends on a skillful engineer's operations in the design of both parts and molds. In this paper, the relationship between the process conditions and the defectiveness is built for better manufactures under settings of the appropriate parameters, and so it can reduce the setup time in the injection molding process. Quality Function Deployment (QFD) provides severe defectiveness factors along with the related process parameters. Also, neural networks estimate the relationship between defective factors and process setting parameters, and lead to reduce the defectiveness of molded parts.

Quality Design Support System based on Data Mining Approach (데이터 마이닝 기반의 품질설계지원시스템)

  • 지원철
    • Journal of the Korean Operations Research and Management Science Society
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    • v.28 no.3
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    • pp.31-47
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    • 2003
  • Quality design in practice highly depends on human designer's intuition and past experiences due to lack of formal knowledge about the relationship among 10 variables. This paper represents an data mining approach for developing quality design support system that integrates Case Based Reasoning (CBR) and Artificial Neural Networks (ANN) to effectively support all the steps in quality design process. CBR stores design cases in a systematic way and retrieve them quickly and accurately. ANN predicts the resulting quality attributes of design alternatives that are generated from CBR's adaptation process. When the predicted attributes fail to meet the target values, quality design simulation starts to further adapt the alternatives to the customer's new orders. To implement the quality design simulation, this paper suggests (1) the data screening method based on ξ-$\delta$ Ball to obtain the robust ANN models from the large production data bases, (2) the procedure of quality design simulation using ANN and (3) model management system that helps users find the appropriate one from the ANN model base. The integration of CBR and ANN provides quality design engineers the way that produces consistent and reliable design solutions in the remarkably reduced time.

A study on the process capability of machining process (기계가공공정(機械加工工程)의 공정능력(工程能力)에 대(對)한 연구(硏究))

  • Sung, Hwan Tae
    • Journal of Korean Society for Quality Management
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    • v.5 no.1
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    • pp.3-10
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    • 1977
  • The research on the process capability is the basis for quality design, operation standard and so on. In this study, histogram of the measured value for the cutting process and calculation of the capability factor Cp are established, resulting in the classification of 4 grades, and necessary measures for them are presented. The advancement of productivity is the most significant result of this study. The processing time per piece for those stabilized processes having the capability factor 1.33 and above is lessened, and the advancement in quantity capability is made possible permitting dispersion of standard up to the tolerance limit. The exact knowledge of process capability is most important for the quality design system. For the efficient application of this result of the research, a systematic and positive cooperation by the whole company members is needed.

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A Six Sigma Project for Reducing the Make pressure problem of Relay (릴레이 복귀전압 신뢰성 향상을 위한 6시그마 프로젝트 사례연구)

  • Kim Hyun Soo;Lee Hwa Ki;Kim Pan Joe
    • Journal of the Korea Safety Management & Science
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    • v.7 no.1
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    • pp.87-100
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    • 2005
  • This paper studies on the quality problem for the Reley using the 6 sigma process. The application of 6 sigma process suggested reliable and valuable statistical data for the quality of the Relay at the production line. In the measurement step in 6 sigma process, the FMEA(filure mode effect analysis) were used for the detection of problem source. The application of 6 sigma process gave the improving method for the quality of the Relay. Consequently the 6 sigma process was proved very effective for the quality problem reducing at the production line.

A Study on the Effects of the Manufacturer's Market Orientation on Quality Management activity and Business Performance (제조기업의 시장지향성이 품질경영활동과 경영성과에 미치는 영향에 관한 연구)

  • Won, Yu-Young;Park, Jong-Woo;Song, Gwang-Suk;Shin, Ho-Chul
    • Journal of Distribution Science
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    • v.11 no.6
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    • pp.81-89
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    • 2013
  • Purpose - The market orientation of a manufacturer is a very critical competitive advantage factor in the development of new markets and the sustainability and maintenance of existing ones, achieved through the design of customer-oriented products. This is recognized as a virtuous circle, in which firms grow by means of promoting quality management. However, though market-oriented activities are important in management and operations, they seem to be promoted mainly by large-scale enterprises rather than by small- and medium-scale firms, the latter having invested relatively few company resources. Furthermore, few studies and analyses have examined how market orientation relates to the expansion of quality programs within organizations or with business performance; the market orientation and customer-orientation concepts are mixed together when both are used in research. Given the current market situation in which the servitization of manufacturing firms is rapidly expanding, this study's analysis of the effect on market orientation of manufacturers is a significant contribution. From this perspective, this study has several objectives. First, is to analyze and suggest the relationship between market orientation and quality management activity for manufacturers, focusing on three sub-activities: products, process, and quality management activities. Second, it is intended to identify correlation between manufacturers' market oriented activity and their management performance and then to analyze how market orientation affects business performance. The results of a number of prior studies on the correlation between market orientation and management performance have indicated that market orientation does affect management performance. Third, this study also investigates whether any differences in the relationship among market orientation, quality management activity and business performance occur according to company size. The results are used to present operational suggestions for large- and small- and medium-size firms. Research design, data, methodology - This study seeks to analyze and identify the causal features of the organic relationship among market orientation, quality management, and management performance for Korean manufacturing companies using three years (2005-2007) of market orientation, quality management, and business performance data. Subsequently, structural equation modeling was used to analyze the causal features of related factors and it aims to identify the features of market orientation, quality management, and business performance. Results - The analysis examined how market orientation affected the quality management and management performance of 159 smalland medium-size companies. In particular, enterprise quality management was analyzed in relation to management performance with a focus on activities such as leadership, measurement and improvement, quality control, cost management, and process management. Conclusions - The result of the analysis show that market orientation significantly affected all of the quality management activities and that market orientation in turn significantly affected organizational performance. The result of analysis indicate that quality management activities have a significant effect on quality control and cost management.

A Idea Development Method for Process Innovation (경영혁신을 위한 과제 도출 방안)

  • Kim, Seong-Su
    • 한국디지털정책학회:학술대회논문집
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    • 2006.06a
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    • pp.289-297
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    • 2006
  • Business operates under the fast pace of large-scale changes. These changes occur in environments including competitors, markets and consumers. To survive under these changes, process innovation is becoming the eminent issue faced by executives. Process innovation is to generate, select, and implement new ideas adopting changes in organizational structure, management pattern, human resource management systems and so on. Examples include restructuring, outsourcing, benchmarking, total quality management, and business process reengineering. This study suggests how to develop process innovation ideas. Related screening and implementation techniques are also presented.

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Control Charts for Ordinal Variables (순서형 변수를 위한 관리도)

  • Jang, Dae-Heung
    • Proceedings of the Korean Society for Quality Management Conference
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    • 2006.04a
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    • pp.330-333
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    • 2006
  • Many practical problems of quality control in service management are derived from the use of ordinal variables. Ordered linguistic variables differ from measurement variables. This paper presents a new control chart of a production process based on ordinal variables.

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Related Carriage and Facility Management Service Quality Systems (운송 및 시설관리 서비스 관련 품질시스템)

  • Choi, Sung-Woon
    • Proceedings of the Safety Management and Science Conference
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    • 2007.11a
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    • pp.475-480
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    • 2007
  • This paper introduces service quality systems such as furniture removal for households, carriage of parcels, commercial motorcycle carriage service, the service for warehousing, car rental services, exhibition service, security service, and, facility management services. These service quality systems include terminology, process, and, infrastructure.

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Statistical Design of VSS $\overline{A}$ Charts for Monitoring an AR(1) Process (AR(l) 공정을 탐지하는 VSS $\overline{A}$ 관리도의 통계적 설계)

  • 이재헌
    • Journal of Korean Society for Quality Management
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    • v.31 no.3
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    • pp.126-135
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    • 2003
  • A basic assumption in standard applications of control charts is that the observations are statistically independent. However, this assumption is often violated from processes in many industries. The presence of autocorrelation has a serious impact on the performance of control charts, causing a dramatic increase in the frequency of false alarms. This paper considers a process in which the observations can be modeled as a first order autoregressive(AR(1)) process, and develops (equation omitted) charts with the variable sample size(VSS) scheme for monitoring the mean of this process.