• Journal of Navigation and Port Research
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• v.32 no.3
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• pp.179-184
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• 2008

The aim of this paper is to establish the evaluation system of port logistics of Incheon using the QFD(Quality Function Deployment) model. The research methodology is consisted of four phases. The first step is to investigate the important factors consisting the port logistics of Incheon and then calculate the weighting of factors by Analytic Hierarchy Process (AHP). The second step is to draw out the degree of inter-relation among factors by Fuzzy Subordination Relations (FSR). At the third step, the established system through the QFD method using results of the first and second steps will be used to evaluate and diagnosis the level of port logistics of Incheon. Finally, the sensitivity analysis will be performed and the degree of improving port logistics will be presented according to the rising the relevant factors.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.10 no.5
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• pp.63-71
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• 2015

Lean six sigma has to be utilized considering irrational system or defects based on features of organization beforehand. Otherwise, it won't improve anything but burden another heavy responsibilities to the people in charge. Therefore, a survey was conducted in addition to a literature review and a case study about lean six sigma to verify effective deployment method for lean 6sigma tools. The survey was conducted across for 96 interviewees who have MBB or BB was selected from 15 companies which have been running six sigma projects over 10 years and SPSS 16.0 was used for verifying reliability and validity of the research. In conclusion, some issues occurred in the process of six sigma projects were identified and effective deployment method of lean six sigma tools by integrating lean manufacturing into 6sigma were suggested based on those issues.

• Journal of the Korea Society of Computer and Information
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• v.23 no.11
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• pp.103-109
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• 2018

This paper presents an idea and framework to automate a full cycle business process management and re-engineering by integrating traditional business process management systems, process mining, data mining, machine learning, and simulation. We build our framework on the cloud-based platform such that various data sources can be incorporated. We design our systems to be extensible so that not only beneficial for practitioners of BPM, but also for researchers. Our framework can be used as a test bed for researchers without the complication of system integration. The automation of redesigning phase and selecting a baseline process model for deployment are the two main contributions of this study. In the redesigning phase, we deal with both the analysis of the existing process model and what-if analysis on how to improve the process at the same time, Additionally, improving a business process can be applied in a case by case basis that needs a lot of trial and error and huge data. In selecting the baseline process model, we need to compare many probable routes of business execution and calculate the most efficient one in respect to production cost and execution time. We also discuss the challenges and limitation of the framework, including the systems adoptability, technical difficulties and human factors.

• 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.

• Journal of the Korean Society of Marine Environment & Safety
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• v.6 no.1
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• pp.69-76
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• 2000

Bubble boom may be a good alternative for the prevention of oil spill pollution due to its easy deployment and clean post-process tasks. The present work is focused on the experimental investigation of air bubble movement for the bubble boom by visualization and quantitative PIV measurements. Bubble plume was generated by adjusting the pressure of pressure vessel ranging 6.7 kpa to 14.7 kpa. The results showed at lower inlet velocity and higher supply air flow rate that bubble boom maintained its containing capability reasonably well up to the maximum containing limit.

• Proceedings of the Safety Management and Science Conference
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• 2005.11a
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• pp.171-184
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• 2005

Today, the usage of DB already becomes an important issue for many companies' survival, especially, for the companies who have adopted CRM(Customer Relationship Management). CEM(Customer Experience Management), as a practical alternative, can settle it. In this paper, we use QFD(Quality Function Deployment) and GA(Genetic Algorithm)-based Group ANP(Analytic Network Process) to construct the Integrated CEM Model to help company decide the priorities of investment in customer experiences.

• Journal of the Korea Institute of Military Science and Technology
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• v.2 no.1
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• pp.19-29
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• 1999

This paper treats the implementation of concurrent engineering principles for ROC development of a future infantry fighting vehicle. Based on the acquisition process of weapon systems and operational requirements provided by users, Quality Function Deployment(QFD) is used to translate the requirements of the user into specific trade-off analysis. Results of these studies and the use of concurrent engineering principles are presented.

• Journal of Korean Society for Quality Management
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• v.25 no.1
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• pp.31-43
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• 1997

In this study, the pros and cons of TPM and RCM were comparatively evaluated at various aspects : a, pp.ication process, objectives, maintenance items, organizations, analysis of maintenace methods, etc. It is found that TPM can be considered as a management discipline. However, in TPM, there seldom exist concrete rules or guidelines to select a maintenance scheme. RCM, which is a widely used maintenance scheme for aircrafts or power plants, has a good analysis and decision logic for maintenance planning. In the paper, similar decision rules are adopted to TPM deployment to get an effective and effecient maintenance Planning.

• Proceedings of the Korea Multimedia Society Conference
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• 2003.05b
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• pp.154-158
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• 2003

RUP의 Unified Process Model에는 Use Case Model, Analysis Model, Design Model, Deployment Model, Implementation model, Test Model의 6가지 모델이 있다. 이 모델들은 모두 일관성이 있다. 한 모델에서 나오는 요소들은 전, 후 단계에서 다른 모델들과 Trace Dependencies를 갖는다. 이러한 관계들은 각각의 요소들 사이의 진행, 기록 관계를 나타낸다 그러나 일반적인 데이터간의 관계와 데이터 모델 설계는 이러한 관계없이 설계되어져 전체적인 일관성을 이루지 못 하였다 본 논문에서는 이러한 관계를 유지하면서 요구사항에 맞는 데이터 모델을 설계하고자 한다. 따라서 본 논문에서는 대학 종합정보시스템 구축의 일부분인 자산관리 시스템을 분석하여 데이터 모델을 제시한다.

• Journal of the Korean Society of Clothing and Textiles
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• v.24 no.5
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• pp.714-723
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• 2000

The purpose of this study is to develop functional and sensible brassiere for middle-aged women. As a methodology, engineering design process, especially, QFD(Quality Function Deployment) was adopted to translate consumer's needs into product design parameters. Wearing tests of commercial brassiere were performed for the development o subjective measurement scale. The environmental condition was controlled at 28$\pm$1$^{\circ}C$, 65$\pm$3%RH. As results, subjective measurement scale and dimension for the evaluation of sensible brassiere were extracted from factor analysis. Four factors were fitting, aesthetic property, pressure sensation, displacement of brassiere due to movement. Regression equations with the subjective evaluation descriptors were developed for the prediction of wearing comfort of brassiere. (R2=.82) The most critical design parameter was wire-related property and second one was stretchability of main material of brassiere. Also, wearing comfort of brassiere was affected by the interaction of initial stretchability of wing and support of strap.