• Journal of Korean Society of Industrial and Systems Engineering
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• v.45 no.1
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• pp.31-40
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• 2022

Six Sigma is a philosophy and systematic methodology for quality improvement. It encourages continuous quality improvement efforts to achieve the ideal goal of 6σ. Sigma(σ) is a statistic representing the standard deviation of the normal distribution, and 6σ level means a level where the tolerance of the specification is six times the standard deviation of the process distribution. In terms of the defective rate, the 6σ level achieves the 0.002 defectives per one million units. However, in the field, the 6σ level is used in the sense of achieving 3.4 defects per one million opportunities, which shows a large gap from the 6σ level in the statistical viewpoint. This is because field practitioners accept a 1.5σ shift of the mean of process when calculating the defective rate under sigma level. It said that the acceptance of 1.5σ shift of the mean is from experience, but there is no research or theoretical explanation to support it logically. Although it is a non-scientific explanation based on experience, considering that there has been no objection to the 1.5σ shift for a long time and it is rather accepted, it is judged that there is a reasonable basis for the 1.5σ shift. Therefore, this study tries to find a reasonable explanation through detective power of control chart via the run-rules to the 1.5σ shift empirically recognized by practitioners.

• Korean Journal of Construction Engineering and Management
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• v.11 no.1
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• pp.88-100
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• 2010

As the competition between companies are deepened, the number of companies adopting six sigma principles, which is one of the innovative management strategies, are increasing. According to this trend, the changes in both strategies and methodologies of six sigma are continuous. However, the evaluations and the management principles included in the process after the six sigma applications are insufficient, and the cooperation between the parties in the company is also not enough because the application process of six sigma is too complex and not efficient. In order to solve this problem, a research for developing the methodology which can learn about and do six sigma applications is so necessary, specifically for expanding the six sigma applications and introducing the participation of all company members. The purpose of this study, therefore, was to develop and present more efficient Six Sigma applied process by reducing the existing unnecessary steps in improvement one, by applying the examination method of wasteful elements on the potential factors, through analyzing the Six Sigma DMAIC applied case in the construction industry. The result of those application showed that the detection of potential factors using wasting elements was possible in measurement step and that it was possible for the improved process with reduced steps compared to existing process while to remain the outcomes. It is considered that the performance rate of Six Sigma project will be improved significantly because the reduction in the improvement step does not affect the improvement effect within the whole Six Sigma project.

• Journal of Korea Multimedia Society
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• v.21 no.6
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• pp.685-697
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• 2018

(Most companies that perform BPR have not achieved satisfactory results or have not performed successful BPRs. There are many reasons for this, but the most important one has caused problems that do not accurately reflect the requirements of various stakeholders. In this paper, we will apply the BPR consulting methodology to a new value innovation requirements engineering process based on the Blue Ocean strategy, which is a way to create a new market without competition by customerizing potential customers by satisfying new customer expectations and needs. This paper uses a requirements engineering process that can generate customer value by applying the ERRC(Erasure Reduce Raise Create) analysis method, which is the core of the Blue Ocean Strategy Framework[1,2]. We will also apply the Six Sigma DFSS (Design For Six Sigma) methodology to improve quality and process through quantitative and systematic analysis. The proposed approach was presented to the BPR consulting to present a practical case, and the results of the empirical analysis of the system user to validate the results of BPR consulting.

• International Journal of Quality Innovation
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• v.8 no.3
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• pp.173-187
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• 2007

Many 6-sigma innovation companies are obtaining ISO9000 series or ISO/TS16949 certifications. However, not many of them have considered the integrated management of ISO/TS16949 at the time of 6-sigma introduction. ISO/TS16949 focuses on the process of an overall company. In particular, APQP (Advanced Product Quality Planning) requires that from the beginning all the planning should have a clear quality planning business process. Each company can decide the best course of action to suit its individual needs. Lean DFSS in 6-sigma offers the concrete development steps of the product development process. And if analyses of Input, Output, Target, Process, KSF, KPI, and FMEA is done in each process and clearly defined in APQP, mutual organic and effective systems can be initially achieved.

• The Journal of Bigdata
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• v.2 no.1
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• pp.5-15
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• 2017

Six Sigma has been adopted for the last two decades in many industries of manufacturing and service business to implement processs improvement. The methodology has difficulties in discovering target projects in the Define step and in controlling continuous measure and control in the Control step. To address the problem, more advanced system is required to support continuous control and management, and business process management (BPM) can be an effective solution for this problem. In this research, we introduce integrated models of Six Sigma and BPM for the purpose of realizing continuous process improvement, and explain the procedure of analyzing, improving, and monitoring the processes based on the data which has been accumulated in business process execution. It is expected that this integrated approach can maximize business performance by improving and managing business continuously on the integrated platform of two business innovation strategies, Six Sigma and BPM.

• Proceedings of the Safety Management and Science Conference
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• 2005.05a
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• pp.59-64
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• 2005

Information systems introduction and application are increasing suddenly from the enterprises while approaching the information age. It requires to manage the IS performance and understand quality of information systems for obtaining the competitive power of the enterprise through IS. Six Sigma is widely recognized today as a process improvement methodology that can cut costs and eliminate defects in information industry as well as manufacturing processes. This study provides a framework for managing performance of information systems which are used to obtain competitive advantage.

• Journal of Korean Society for Quality Management
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• v.38 no.3
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• pp.439-448
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• 2010

Since the six sigma strategy was first introduced to Motorola in 1987, it has been taken as an important business strategy to strengthen the competitiveness of leading companies in the global competitiveness environm ent. This paper presents a six sigma project to reduce the cycle time of assembly line in a medium size automotive part company. The project follows a structured methodology of DMAIC cycle which consists of Define, Measure, Analyze, Improve, and Control. A CTQ is determined based on COPQ analysis, and a process map is utilized for identifying process input variables. As a result of the project, two assembly lines are converted to cell line production lines. The cycle times become 55 sec./unit and 64 sec./unit from 64 sec./unit and 83 sec./unit at the beginning of the project, respectively.

• The KIPS Transactions:PartD
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• v.13D no.3 s.106
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• pp.415-424
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• 2006

There are increasing numbers of foreign and domestic organizations that are using CMM/CMMI to establish their processes and keep improving them. CMMI and IDEAL models of SEI provide the best practices of processes and guide the organization using them based on processes maturity levels. However, they do not deal with their tools or methods that describe how to implement the processes in the organization. Therefore, in this paper, we developed a method in which various tools and statistical methodology of 6 sigma are applied to identify the process areas to be improved, to extract problems in those areas and to prioritize them. We expect this paper can contribute to the organizations that are searching for practical way of implementing CMMI based software process improvement and of identifying improvement items systematically. Also this method will be used to understand the result of improvement activities quantitatively.

• Journal of the Korea Society of Computer and Information
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• v.20 no.10
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• pp.45-51
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• 2015

In this paper, we propose a way to reduce the SW reliability test time and human errors by utilizing the Lean Six Sigma methodology as a troubleshooting tool. Recently, SW technology is rapidly changing and the importance of SW management has been recognized. Accordingly, the SW reliable test for the SW development outcomes in one of the methods for SW quality improvement is required. However, it consumes a lot of development costs, has the time constraints and human errors in SW reliable test, so, it is difficult to meet the requirements for SW test.

• Journal of the Korean Data and Information Science Society
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• v.24 no.6
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• pp.1127-1139
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• 2013

In the realization of obtained image by various visual equipments, the addition of noise to the original image is a common phenomenon and the occurrence of the noise is practically impossible to prevent completely. Thus, the noise detection and reduction is an important foundational purpose. In this study, we detect the orientation about feature of images and estimate the level of noise variance based on the measurement of the relative proportion of the noise. Also, we apply the estimated level of noise to the sigma filter on noise reduction algorithm. And using the orientation about feature of images by weighted value, we propose the effective algorithm to eliminate noise. As a result, the proposed statistical noise reduction methodology provides significantly improved results over the usual sigma filtering and regardless of the estimated level of the noise variance.