• 지식경영연구
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• 제13권5호
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• pp.43-64
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• 2012

Emerging technologies have significant implications in establishing competitive advantages and are characterized by continuous rapid development. Efficient benchmarking is more and more important in the development of emerging technologies. Similar input level and importance are two necessary criteria need to be considered for emerging technology's benchmarking. In this study, we proposed a sequential use of self-organizing map(SOM), data envelopment analysis(DEA) and analytical hierarchy process(AHP) method for the stepwise benchmarking of emerging technology. The proposed method uses two-level SOM to cluster the emerging technologies with similar required input levels together, then, in each cluster, uses DEA-BCC model to evaluate the efficiencies of the emerging technologies and do tier analysis to form tiers. On each tier, AHP rating method is used to calculate each emerging technology's importance priority. The optimal benchmarking path of each cluster is established by connecting the emerging technologies with the highest importance priority. In order to validate the proposed method, we apply it to a case of biotechnology. The result shows the proposed method can overcome difficulties in benchmarking, select suitable benchmarking targets and make the benchmarking process more efficient and reasonable.

• Journal of Information Technology Applications and Management
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• 제14권1호
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• pp.117-135
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• 2007

Globalization changes in market structures and consumer needs, as well as technology innovations force organizations to adopt new structures and collaborative networks to cope with rapidly changing environments. These Collaborative Networks are based on the Idea of virtual enterprise. A virtual enterprise(VE) is a temporary alliance of globally distributed independent enterprises that share core competencies and computer networks. This paper presents a proposal for a methodology to measure a key factor of success and risk First of all, we chose thirty experts' defines on virtual enterprise, fifteen are academic specialist and other fifteen are from industry. For this study we define twenty two factors determining VE's success and seventeen factors determining VE's risk using by Delphi method. And we built the influence model on virtual enterprise. A research model was established according to preceeding research and consensus on experts then the revised model of key factors on virtual enterprise. This survey was based on the Analytical Hierarchy Process (AHP). AHP is an approach to decision making that involves structuring multiple choice criteria into a hierarchy, the assessing the relative important of these criteria, comparing alternative for each criteria, and determining an overall ranking of the alternatives. A model was constructed as 3 level hierarchy. The hierarches are organizational, strategic, technical criteria. for success model on VE has 22 factors and 17 factors for risk model. They are selected by all 30 experts. 14 copies among 30 copies distributed to carry out on the Analytical Hierarchy Process (AHP). Consistency ratio confirm high validity and reliability of instrument and support theoretical model. The results of this study are summarized as follows. (1) This study presented success on VE influenced strategic criteria, and essential factor is Creating a value. Risk on VE influenced strategic criteria, and essential factor is Outcome/Distribution. (2) Its enable that ranking the criteria influence on VE. These are supported VE management and using guideline of VE.

• International Journal of Quality Innovation
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• 제7권2호
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• pp.141-156
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• 2006

This study describes a novel algorithm for optimizing the quality yield of silicon wafer slicing. 12 inch wafer slicing is the most difficult in terms of semiconductor manufacturing yield. As silicon wafer slicing directly impacts production costs, semiconductor manufacturers are especially concerned with increasing and maintaining the yield, as well as identifying why yields decline. The criteria for establishing the proposed algorithm are derived from a literature review and interviews with a group of experts in semiconductor manufacturing. The modified Delphi method is then adopted to analyze those results. The proposed algorithm also incorporates the analytic hierarchy process (AHP) to determine the weights of evaluation. Additionally, the proposed algorithm can select the evaluation outcomes to identify the worst machine of precision. Finally, results of the exponential weighted moving average (EWMA) control chart demonstrate the feasibility of the proposed AHP-based algorithm in effectively selecting the evaluation outcomes and evaluating the precision of the worst performing machines. So, through collect data (the quality and quantity) to judge the result by AHP, it is the key to help the engineer can find out the manufacturing process yield quickly effectively.

• 대한안전경영과학회:학술대회논문집
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• 대한안전경영과학회 2002년도 춘계학술대회
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• pp.227-230
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• 2002

This paper presents an analytic method of quality function deployment(QFD) that is to maximize customer satisfaction subject to technical and economic sides in process design. We have used Wasserman's normalization method and the analytical hierarchy process(AHP) to determine the intensity of the relationship between customer requirements and process design attributes. This paper also shows cost-quality model the tradeoff between quality and cost as a linear programming(LP) with new constraints that have designated special process required allocating firstly The cost-quality function deployment of piston ring is presented to illustrate the feasibility of such techniques.

• 대한안전경영과학회지
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• 제4권2호
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• pp.169-178
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• 2002

This paper presents an analytic method of quality function deployment(QFD) that is to maximize customer satisfaction subject to technical and economic sides in process design. We have used Wasserman's normalization method and the analytical hierarchy process(AHP) to determine the intensity of the relationship between customer requirements and process design attributes. This paper also shows cost-quality model the tradeoff between quality and cost as a linear programming(LP) with new constraints that have designated special process required allocating firstly. The cost-quality function deployment of piston ring is presented to illustrate the feasibility of such techniques.

• 한국산학기술학회논문지
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• 제11권1호
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• pp.335-340
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• 2010

신종 및 재출현 전염병이 지속적으로 유행하고 해외 전염병의 국내유입 가능성이 증대됨에 따라 국립검역소의 검역관리 사업의 효율성 평가는 매우 중요하다. 본 연구는 평가 구성요소 사이의 상대적 중요도, 즉 가중치(weight) 부여에 있어서 과학적 타당성을 인정받고 있는 계층분석절차(Analytical Hierarchy Process; AHP) 기법에 의한 이원비교방법을 사용하여 설정하였다. AHP기법은 복잡한 다기준 의사결정문제(multi-criteria decision making problem)를 계층화하여 단순화 체계화시킴으로써 그 영향도를 계량화하는데 탁월한 기법이라는 평가를 받고 있다. 평가지표별 가중치는 기관평가 영역이 0.2, 서비스 및 프로그램 영역이 0.8로 분석되었으며, 서비스 및 프로그램 영역내에서 검역 업무가 0.45로 가장 높게 나타났다. 대영역(기관평가영역, 서비스 및 프로그램평가 영역), 중영역(투입, 과정, 결과, 검역업무, 검사업무, 위생관리업무, 병원체조사감시업무, 전염병예방홍보 교육업무)으로 구분하여 최종적으로 평가지표로 선정된 지표는 실제 국립검역소 사업에 적용하였으며, 이에 대한 최소한의 평가지표를 최종 선정하여 향후 국립검역소 사업평가 체계를 보다 체계화 하였다.

• Industrial Engineering and Management Systems
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• 제7권1호
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• pp.34-43
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• 2008

In recent years, many electronics producing firms have looked upon total quality management (TQM) strategy as a means by which they could maintain competitive advantage. This empirical research evaluates TQM strategic factors in order to determine the critical success factors in environmental uncertainty. Fuzzy analytic hierarchy process (FAHP) is the proposed research methodology to discuss and tackle the different decision criteria like effective leadership, people management, customer focus, strategic plan and process management, being involved in identifying the TQM strategic critical success factors with uncertainty. The result shows that effective leadership is the most critical success factor in TQM strategy.

• 한국컴퓨터정보학회논문지
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• 제13권7호
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• pp.239-246
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• 2008

본 연구에서는 기업의 운영과 재정, 경쟁력 등에 영향을 비치는 전략적으로 중요한 의사결정인 공급업체 선정을 위한 수리적 평가모형을 제시하고자 하였다. 우수한 공급업체 평가 및 선정을 위한 의사결정을 위해서는 서로 상충되는 다양한 양적요인과 질적요인에 대한 고려가 필요하다. 기존의 연구들이 제시한 단일목적 혹은 다수 목적의 최적화를 추구하는 수리적 모형들 대부분은 공급업체 선정과정예서 매우 중요한 역할을 담당하는 질직 요인을 반영치 않았거나, 모형의 유연성이 제한적 이어 광범위한 활용이 힘든 실정이다. 이에 본 연구에서는 공급업체 평가 및 선정을 위해 양적요인뿐만 아니라 질적요인을 동시에 고려한 최선의 공급업체 선정과 주문량 결정을 위한 AHP기법과 선형계획모형을 결합한 통합모형을 제시하였다. 본 통합모형은 공급업체 선정을 위한 평가요인과 이들의 상대적 중요도를 기업의 경영상황에 따라 선택 조정할 수 있으며, 제약조건에 대한 추가나 수정에 유연성을 부여함으로써 기업의 공급업체 평가 및 선정을 위한 실제적인 활용 가능성을 제고시키고자 하였다

• 한국비블리아학회지
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• 제20권4호
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• pp.191-204
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• 2009

데이터베이스 시스템의 사용자 만족과 품질 관리를 위해서는 사용자 요구사항 및 품질 특성의 정확한 이해와 함께 적절한 품질 측정과 평가가 필수적이다. ISO 25000 시리즈를 기반으로 1차 연구에서 도출된 데이터베이스 시스템 품질 평가 모델에서는 5가지 주품질특성과 이에 따른 21가지 부품질특성, 48개의 내부품질특성의 3단계 계층구조를 제시하였다. 주품질특성, 부품질특성, 내부품질에 대한 우선순위(상대적 가중치) 부여 방법에 대한 연구는 일부 있으나 품질 모형을 데이터베이스 시스템 산업현장에서 직접 사용하는 것은 쉽지 않다. 또한 품질평가를 위한 시간과 비용을 고려할 때 48개 내부품질특성을 모두 평가한다는 것은 현실적으로 거의 불가능하며 데이터베이스 시스템에서 요구되는 무결성 수준에 따라 품질평가의 수준도 다르다. 본 연구에서는 다목표의사결정기법의 하나인 AHP(Analytical Hierarchy Process)기법을 이용하여 데이터베이스 시스템 품질특성을 가중치에 따라 선정하는 방법을 제시하고 이를 통해 품질모형의 현실적인 적용 가능성을 제공할 수 있다.

• 한국유기농업학회지
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• 제29권4호
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• pp.439-457
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• 2021

Since ancient times, ginseng has been cultivated in Korea, and related cultures are also rich. However, the domestic ginseng industry is currently facing many crises. As a source of ginseng, Korea needs to come up with a strategy to cope with the crisis of the ginseng industry and implement it efficiently and effectively using limited resources. This study used the Analytic Hierarchy Process (AHP) to analyze the priority of policies so that ginseng policies can be effectively implemented. The survey was conducted by dividing into two groups of experts, 'policy managers' and 'field experts'. As a result of the study, policy managers seem to believe that the consumption of ginseng is important for the development of the ginseng industry. On the other hand, the field expert group believes that the government should take the initiative to increase the supply capacity of the ginseng industry. Through this study, it will be possible to help in determining the importance of policy, recognizing that the viewpoints of policy can be different for the ginseng industry to develop.