• 제목/요약/키워드: Deployment process

검색결과 371건 처리시간 0.028초

소셜커머스 성공을 위한 품질기능전개(QFD) 적용에 관한 연구 (A Study on the Application of Quality Function Deployment for the Success of Social Commerce)

  • 이상식
    • 한국산업정보학회논문지
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    • 제18권1호
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    • pp.71-79
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    • 2013
  • 세계적으로 빠르게 확산되고 있는 소셜커머스에 대한 이해를 높이기 위해서 품질관리분야에서 많이 사용되고 있는 품질기능전개(QFD) 방법론을 적용하여 소셜커머스에 대한 고객의 요구사항과 서비스 특성을 동시에 고려한 서비스 개선 방안을 제시하고 있다. 이를 위하여 소셜커머스 시장에 대한 분석과 연구를 바탕으로 소셜커머스에 대한 고객의 요구사항을 살펴보고, 품질주택(HOQ)을 이용하여 고객의 요구사항과 서비스 특성간의 관계를 분석하였다. 또한 계층분석과정(AHP)을 이용하여 소셜커머스의 이용 경험이 많은 고객을 대상으로 고객 요구속성의 중요도 평가를 하고, 이를 바탕으로 서비스 특성의 중요도 값을 산출함으로써 계량적인 기법으로 소셜커머스에 대한 이해를 높이고 있다.

QFD를 활용한 안전기능 전개에 관한 연구 (A Study of Safety Function Deployment for Using QFD)

  • 김건호;김윤성;권상면;이강복;박주식;강경식
    • 대한안전경영과학회지
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    • 제6권1호
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    • pp.25-35
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    • 2004
  • We achieved a Quantitative economic growth through rapid developed in 1970' and 1980'. It was confronted after IMF crisis that we needed to improve the past economic policy and the industrial structure. In line of that, the problem of the industrial structure like huge accidents of 1990' converted the recognition of safety. And to improve the conversion, the research of a safety management was needed. In this paper, we thought 4M1E(Man, Machine, Method, Material, Environment) as the cause of accident using the principal of process, assuming that output is accident. Applying 4M1E to the structure of QFD(Quality Function Deployment), we propose the safety function deployment, which has the flow line as followed; demand safety, safety characteristic, direct cause, 4M1E and safety management.

An Efficient Repository Model for Online Software Education

  • Lee, Won Joo;Baek, Yuncheol;Yang, Byung Seok
    • 한국컴퓨터정보학회논문지
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    • 제21권12호
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    • pp.219-226
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    • 2016
  • In this paper, we propose an efficient repository model for online software education. The software education of app development consists of 7 stages: coding & debugging, submit, collaboration, review, validate, deployment, certification. Proposed repository model supports all 7 stages efficiently. In the coding & debugging stage, the students repeat coding and debugging of source. In the submit stage, the output of previous process such as source codes, project, and videos, are uploaded to repository server. In the collaboration stage, other students or experts can optimize or upgrade version of source code, project, and videos stored in the repository. In the review stage, mentors can review and send feedbacks to students. In the validate stage, the specialists validate the source code, project, and the videos. In the deployment stage, the verified source code, project, and videos are deployed. In the certification stage, the source code, project, and the videos are evaluated to issue the certificate.

A Genetic Algorithm for Solving a QFD(Quality Function Deployment) Optimization Problem

  • Yoo, Jaewook
    • International Journal of Contents
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    • 제16권4호
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    • pp.26-38
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    • 2020
  • Determining the optimal levels of the technical attributes (TAs) of a product to achieve a high level of customer satisfaction is the main activity in the planning process for quality function deployment (QFD). In real applications, the number of customer requirements for developing a single product is quite large, and the number of converted TAs is also high so the size of the house of quality (HoQ) becomes huge. Furthermore, the TA levels are often discrete instead of continuous and the product market can be divided into several market segments corresponding to the number of HoQ, which also unacceptably increases the size of the QFD optimization problem and the time spent on making decisions. This paper proposed a genetic algorithm (GA) solution approach to finding the optimum set of TAs in QFD in the above situation. A numerical example is provided for illustrating the proposed approach. To assess the computational performance of the GA, tests were performed on problems of various sizes using a fractional factorial design.

잠수함 위치 추정을 위한 베이지안 최적화 기반의 온라인 소노부이 배치 기법 (Online Sonobuoy Deployment Method with Bayesian Optimization for Estimating Location of Submarines)

  • 김두영
    • 한국군사과학기술학회지
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    • 제25권1호
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    • pp.72-81
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    • 2022
  • Maritime patrol aircraft is an efficient solution for detecting submarines at sea. The aircraft can only detect submarines by sonobuoy, but the number of buoy is limited. In this paper, we present the online sonobuoy deployment method for estimating the location of submarines. We use Gaussian process regression to estimate the submarine existence probability map, and Bayesian optimization to decide the next best position of sonobuoy. Further, we show the performance of the proposed method by simulation.

QFD(Quality Function Deployment)와 시스템 요구분석 기법을 이용한 지능형 병원 시스템 개념 정립 (Intelligent Hospital Concept Definition by Implementing Quality Function Deployment And System Requirement Analysis)

  • 이준호;김대홍;진경훈;함재복;이재우
    • 시스템엔지니어링학술지
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    • 제2권1호
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    • pp.24-30
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    • 2006
  • In this study, the design concepts for Intelligent Hospital are derived using the Quality Function Deployment(QFD) and System Requirement Analysis Method. First, requirements for important elements of Intelligent hospital are defined. Second, similar systems are compared and user requirement are refined. Through this process, operational requirement for Intelligent Hospital are defined by combining user requirements and similar systems. To analyze operational requirement, the QFD of the system engineering approach are implemented. Alternative design specifications are constructed by implementing the QFD results by building the Morphological Matrix. Various concepts that satisfy the system requirement are derived. Finally the best design concept are obtained using the Pugh concept selection matrix.

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Flexible deployment of component-based distributed applications on the Cloud and beyond

  • Pham, Linh Manh;Nguyen, Truong-Thang
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • 제13권3호
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    • pp.1141-1163
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    • 2019
  • In an effort to minimize operational expenses and supply users with more scalable services, distributed applications are actually going towards the Cloud. These applications, sent out over multiple environments and machines, are composed by inter-connecting independently developed services and components. The implementation of such programs on the Cloud is difficult and generally carried out either by hand or perhaps by composing personalized scripts. This is extremely error prone plus it has been found that misconfiguration may be the root of huge mistakes. We introduce AutoBot, a flexible platform for modeling, installing and (re)configuring complex distributed cloud-based applications which evolve dynamically in time. AutoBot includes three modules: A simple and new model describing the configuration properties and interdependencies of components; a dynamic protocol for the deployment and configuration ensuring appropriate resolution of these interdependencies; a runtime system that guarantee the proper configuration of the program on many virtual machines and, if necessary, the reconfiguration of the deployed system. This reduces the manual application deployment process that is monotonous and prone to errors. Some validation experiments were conducted on AutoBot in order to ensure that the proposed system works as expected. We also discuss the opportunity of reusing the platform in the transition of applications from Cloud to Fog computing.

Research on UAV access deployment algorithm based on improved virtual force model

  • Zhang, Shuchang;Wu, Duanpo;Jiang, Lurong;Jin, Xinyu;Cen, Shuwei
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • 제16권8호
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    • pp.2606-2626
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    • 2022
  • In this paper, a unmanned aerial vehicle (UAV) access deployment algorithm is proposed, which is based on an improved virtual force model to solve the poor coverage quality of UAVs caused by limited number of UAVs and random mobility of users in the deployment process of UAV base station. First, the UAV-adapted Harris Hawks optimization (U-AHHO) algorithm is proposed to maximize the coverage of users in a given hotspot. Then, a virtual force improvement model based on user perception (UP-VFIM) is constructed to sense the mobile trend of mobile users. Finally, a UAV motion algorithm based on multi-virtual force sharing (U-MVFS) is proposed to improve the ability of UAVs to perceive the moving trend of user equipments (UEs). The UAV independently controls its movement and provides follow-up services for mobile UEs in the hotspot by computing the virtual force it receives over a specific period. Simulation results show that compared with the greedy-grid algorithm with different spacing, the average service rate of UEs of the U-AHHO algorithm is increased by 2.6% to 35.3% on average. Compared with the baseline scheme, using UP-VFIM and U-MVFS algorithms at the same time increases the average of 34.5% to 67.9% and 9.82% to 43.62% under different UE numbers and moving speeds, respectively.

건물용 태양열과 지열의 보급 장벽 평가 (Evaluation of Deployment Barriers to Solar Thermal and Ground Source Heat Pump for Buildings)

  • 조일현;이재석
    • 신재생에너지
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    • 제20권1호
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    • pp.61-69
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    • 2024
  • This study investigates the barriers to the deployment of solar thermal and ground source heat pump (GSHP) from the perspective of consumers and businesses, as well as evaluates priorities for improving the barriers via expert AHP evaluation. From a consumer's perspective, the overall satisfaction with solar thermal is significantly lower than that with PV and needs to be improved at the installation and use stages. GSHP needs to be improved at the prior-information search stage. From a business perspective, the non-distinction between heat and electricity in mandatory installations in public buildings, the difficulty in assessing the value of heat, and high initial costs impede the deployment. Based on the result of AHP analysis, the priorities for improving the barriers to the wide utilization of solar thermal are evaluated in the order of economic feasibility, policy, acceptability, and technology, where high installation cost is shown to be the greatest barrier. Barriers for GSHP are evaluated in the order of policy, acceptability, economic feasibility, and technology, where policy means improvement is evaluated as the most important factor in promoting the deployment of GSHP.

해양플랜트 유지보수장치 엔지니어링을 위한 장비 배치 검증수행모델에 관한 연구 (A Study on the Model of Equipment Layout Verification for Offshore Plant Maintenance Equipment Engineering)

  • 한성종;박범
    • 플랜트 저널
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    • 제13권4호
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    • pp.41-47
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    • 2017
  • 본 논문은 해양플랜트 입찰단계에서 시스템엔지니어링(Systems Engineering)기법을 이용하여 해양플랜트를 구성하고 있는 장비 배치를 검증(Verification)할 수 있는 검증수행모델에 대한 연구이다. 해양플랜트 상부구조물(Topside) 유지보수 장비들을 엔지니어링하기 위하여는 Topside 장비 Layout검증이 선행되어야 한다. 하지만 입찰단계에서 완성도가 높지않는 FEED(Front End Engineering Design)결과물로 인한 많은 오류가 존재함에도 불구하고 검토시간의 부족 등의 이유로 검증을 수행하지 못하는 경우가 존재한다. 따라서 본 논문에서는 다학제간 접근방식인 시스템엔지니어링 프로세스를 간략화하여 적용함으로써 제한된 시간내 효과적으로 장비배치를 검증할 수 있는 검증수행모델을 제안하였다. 모델의 구성은 기능전개모델(Functional Deployment Model)을 통하여 구축하였으며 사례연구를 통하여 본 Topside 장비 배치에 대한 검증 수행모델을 검증하였다.

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