• 품질경영학회지
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• 제46권1호
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• pp.39-74
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• 2018

Purpose: For more than 30 years, robust parameter design (RPD), which attempts to minimize the process bias (i.e., deviation between the mean and the target) and its variability simultaneously, has received consistent attention from researchers in academia and industry. Based on Taguchi's philosophy, a number of RPD methodologies have been developed to improve the quality of products and processes. The primary purpose of this paper is to review and discuss existing RPD methodologies in terms of the three sequential RPD procedures of experimental design, parameter estimation, and optimization. Methods: This literature study composes three review aspects including experimental design, estimation modeling, and optimization methods. Results: To analyze the benefits and weaknesses of conventional RPD methods and investigate the requirements of future research, we first analyze a variety of experimental formats associated with input control and noise factors, output responses and replication, and estimation approaches. Secondly, existing estimation methods are categorized according to their implementation of least-squares, maximum likelihood estimation, generalized linear models, Bayesian techniques, or the response surface methodology. Thirdly, optimization models for single and multiple responses problems are analyzed within their historical and functional framework. Conclusion: This study identifies the current RPD foundations and unresolved problems, including ample discussion of further directions of study.

• 품질경영학회지
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• 제30권4호
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• pp.137-153
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• 2002

Viewed as a more systematic approach of creating high quality products and bringing them into market at a lower cost and in significantly less time, it attracts the attention of quality designers to quality function deployment (QFD) approach. In attempt to reduce the design cycle, the industry has responded with concurrent design effort. In a sense, concurrent engineering refers to the integration of various activities within the broad scope of the product life cycle ［17］. Over the last ten years, much has been written about QFD but little has been available in terms of the underlying guide methodology. The methodology of QFD is quite simple and many will say that they have done it in the past but just have not formalized it into the form that this discipline requires. QFD ties the product, user, value, and manufacturing viewpoints together in a continuous process of defining the product design and manufacturing requirements. The value viewpoint recognizes the cost to obtain certain functionality, and the manufacturing viewpoint addresses conformance to requirements, but in a broader sense, the variability in production. In this paper, the QFD system acquisitions are described, and two heuristic approaches solving for the complex design process, especially the size reduction of design process and precedence-constrained relationship in QFD are proposed, and the empirical example is illustrated.

• 한국콘텐츠학회논문지
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• 제14권3호
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• pp.361-373
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• 2014

현재의 산업기술은 날이 갈수록 발달하고 있고, 따라서 기술은 더 이상 생산기업들 간의 유일한 경쟁 요소가 아니게 되었다. 본 논문은 하이얼 세탁기의 성공사례의 연구를 통해서 하이얼 세탁기의 디자인 전략의 구체적 방법을 찾아보았다. 이와 동시에 하이얼 세탁기와 지멘스, 리틀스완 세탁기의 4PS의 비교분석을 통해서, 하이얼의 디자인 전략에 있어서 경쟁 회사들과 어떠한 차이점이 있는지 연구하였다. 그렇게 함으로써 어떻게 기업의 디자인 전략을 체계적으로 분석하는가에 대한 방법 및 어떻게 성공적인 디자인 전략을 수립할 수 있는지에 대한 분석 프레임과 연구방법을 제공하고자 한다.

• 산업공학
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• 제12권4호
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• pp.514-531
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• 1999

This paper deals with the design of the manufacturing information system which is able to respond rapidly to various requirements of customers in make-to-order environment. The system is required to maintain a consistent flow of information from the start to the end. For this, we adopt an approach based on Information Engineering (IE) methodology, which consists of four stages: planning, analysis, basic design, and detail design. The first is a planing stage which establishes a project goal and organizes a project team. In the second stage, current activities are analyzed and problems are defined. The basic design is accomplished in the third stage, where a project scope is defined and an overall feature of the new system is presented. And then, in the last stage, the operation plan of each subsystem is drawn up in detail and all subsystems are integrated. This study applies the methodology to the case of H company and focuses on designing forms which are easy-to-write, easy-to-understand, and field-oriented. These forms are interrelated and can be used for systematic analysis and design. By applying them to the system design, we have obtained effect of reducing cost and time.

• 한국통신학회논문지
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• 제42권1호
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• pp.140-148
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• 2017

개도국에서 비용-효율적인 LTE (Long Term Evolution) 망을 구축하기 위해서는 선진국 위주의 설계 및 구축방식과는 차별화 된 LTE 기술 분석과 적용이 필요하다. 본 연구에서는 LTE 망 설계 및 구축과 연관된 개도국의 특성을 파악하고, 효율적인 망 구축을 위해 필요한 요구사항 및 적용기술에 대한 분석을 수행하였다. 또한 향후 개도국에서 LTE 망 구축 시 참고할 수 있도록, 한국의 통신 A사가 LTE 구축 및 컨설팅에 참여한 실제 개도국 사례를 통해 여러 적용기술에 대한 평가결과를 제시하였다.

• 한국추진공학회지
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• 제19권6호
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• pp.33-41
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• 2015

로켓 기반 복합 사이클 엔진의 구성 요소로서 큰 후향 계단을 가진 이중 모드 램젯 엔진의 축소 모델을 설계하였다. 로켓 기반 복합 사이클 엔진에 적용하기 위해 설계 단계에서 고려하여야 하는 인자를 도출하였고 이 설계 인자에 대한 설계 방법을 정립하였다. 이러한 방법을 통하여 설계한 모델에 대하여 전산유체해석과 공력 시험을 수행함으로써 설계 검증을 일부 수행하고 큰 후향 계단을 가진 이중 모드 램젯 엔진의 유동 특성을 파악하였으며 이 연구에서 정립한 주요 설계 인자에 대한 설계 방법이 타당함을 확인할 수 있었다.

• 한국생산제조학회지
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• 제23권1호
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• pp.87-93
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• 2014

This paper provides a methodology for extracting design data from the three-dimensional design software SolidWorks$^{(R)}$, which is based on the existing trochoid pump design equations that are used by hydraulic field engineers. The data extracted from the SolidWorks$^{(R)}$ model are input to a hydraulic analysis software AMESim model to determine the design factors that can influence the properties of a trochoid pump. On the basis of the simulation results, this paper proposes a method to reduce the flow loss by adjusting the outlet angle of the trochoid pump. This proposal was verified by using actual experimental results, which confirmed that adjusting the outlet angle can increase the flow rate. Hence, the results presented in this paper can contribute to the prototyping of a trochoid pump by reducing the cost associated with a trial-and-error design.

• 한국전산유체공학회지
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• 제2권1호
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• pp.66-72
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• 1997

Optimum nozzle design exploiting the method of characteristic(M.O.C) has been in application as an efficient design methodology targeting a less weighted and short expansion nozzle. This paper treats the optimum nozzle design and the analysis of the inviscid compressible flow inside. Based on traditional Rao's method, the optimum nozzle design is coded with minor modifications for the identification of the control surface across which the mass flux should be conserved. Internal flow field is simulated numerically by M.O.C and implicit/explicit Taylor-Galerkin finite element method(F.E.M) with the aid of adaptive remeshing to capture the shock wave, hence improve the accuracy. Designed and calculated flow fields due to the separate analyses show that the mass flux predicted by optimum nozzle design with M.O.C is not conserved across the control surface and the sonic line should be located upstream of the nozzle throat. Rao's optimum nozzle design methodology exaggerates the momentum thrust and tends to overemphasize the engine performance loss.

• 한국산학기술학회논문지
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• 제16권10호
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• pp.6969-6976
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• 2015

새로운 기술의 발전과 개발 패러다임의 변화로 인해 이를 뒷받침할 수 있는 소프트웨어 개발 프로세스와 개발 기법들이 계속해서 진화하고 있다. 이러다보니 기업에서 프로젝트 별로 개발 및 적용해야 할 프로세스와 방법론이 계속해서 증가하고 있어서 이에 대한 효과적인 관리 방안이 필요한 실정이다. 특히 기업은 프로젝트의 규모나 성격에 따라 최적화 된 방법론을 도입해서 적용해야 하기 때문에 방법론의 특화(Customization) 기법이 절실히 요구되는 상황이다. 본 논문에서는 이처럼 계속해서 개발되는 방법론들을 전사적으로 통합 관리할 수 있는 메타모델 기반의 방법론 프레임워크를 제시하고자 한다. 제안된 방법론 프레임워크를 적용함으로써 기업에서는 계속해서 증가되는 방법론들을 효율적으로 관리할 수 있을 뿐만 아니라 프로젝트 사안 별로 최적화 된 방법론을 용이하게 개발할 수 있게 된다. 특히 본 논문에서 제시하는 방법론 프레임워크는 메타 모델을 기반으로 개발되기 때문에 새로운 방법론 요소의 추가 및 확장이 용이하게 이루어질 뿐만 아니라 방법론을 프로젝트 별로 특화할 때 쉽게 구성요소들을 재사용할 수 있는 효과를 얻게 된다.

• Journal of Information Science Theory and Practice
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• 제11권1호
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• pp.61-78
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• 2023

Ontological knowledge modelling of epic texts, though being an established research arena backed by concrete multilingual and multicultural works, still suffers from two key shortcomings. Firstly, all epic ontological models developed till date have been designed following ad-hoc methodologies, most often combining existing general purpose ontology development methodologies. Secondly, none of the ad-hoc methodologies consider the potential reuse of existing epic ontological models for enrichment, if available. This paper presents, as a unified solution to the above shortcomings, the design and development of GOMME - the first dedicated methodology for iterative ontological modelling of epics, potentially extensible to works in different research arenas of digital humanities in general. GOMME is grounded in transdisciplinary foundations of canonical norms for epics, knowledge modelling best practices, application satisfiability norms, and cognitive generative questions. It is also the first methodology (in epic modelling but also in general) to be flexible enough to integrate, in practice, the options of knowledge modelling via reuse or from scratch. The feasibility of GOMME is validated via a first brief implementation of ontological modelling of the Indian epic Mahabharata by reusing an existing ontology. The preliminary results are promising, with the GOMME-produced model being both ontologically thorough and competent performance-wise.