• 한국항만경제학회지
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• 제18권1호
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• pp.85-106
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• 2002

Across many industries, benchmarking is considered useful method to improve their service quality and achieve competitive advantage. Benchmarking, especially, has emerged as an increasingly important approach to improving the performance of logistics system and enables successful logistics services and doing good business in logistics services. There are no, however, literature approach for the relationship between benchmarking and port. It is the highest worth researching the application of benchmarking method on the port, since port is the most important component in supply Chain. Therefore, this paper tries to demonstrate the application of the benchmarking method on the port. To do this study, the literature approach developed by several researchers for logistics benchmarking is used as the basic framework. In addition, the following studies are executed: First, the survey of previous studies on logistics benchmarking. Second, finding the indicator and selecting the target in the port benchmarking. Third, the systematic execution schemes of the port benchmarking. Finally, based on the above studies, this paper provides a background for discussions on the future prospects for the application of the benchmarking method on the port.

• 대한산업공학회지
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• 제36권1호
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• pp.32-41
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• 2010

DEA(Data Envelopment Analysis) is the relative efficiency measure among homogeneous DMU(Decision- Making Units) which can be used to useful tool to improve performance through efficiency evaluation and benchmarking. However, the general case of DEA was considered as unrealistic since it consists a benchmarking regardless of DMU characteristic by input and output elements and the high efficiency gap in benchmarking for inefficient DMU. To solve this problem, stratification method for benchmarking was suggested, but simply presented benchmarking path in repeatedly applying level. In this paper, we suggest a new method that inefficient DMU can choice the optimal path to benchmark the most efficient DMU base on the similarity among the input elements. For this, we propose a route choice method that combined a stratification benchmarking algorithm and SOM (Self-Organizing Map). An implementation on real environment is also presented.

• 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.

• 품질경영학회지
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• 제47권1호
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• pp.33-46
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• 2019

Purpose: This study proposed a DEA (Data Envelopment Analysis)-based stepwise benchmarking target selection for inefficient DMU (Decision Making Unit) to improve its efficiency gradually to reach most efficient frontier considering resource (DEA inputs and outputs) improvement preferences. Methods: The proposed method proceeded in two steps. First step evaluates efficiency of DMUs by using DEA, and an evaluated DMU selects benchmarking targets of HCU (Hypothesis Composit Unit) or RU (Real Unit) considering resource improvement preferences. Second step selects stepwise benchmarking targets of the inefficient DMU. To achieve this, this study developed a new DEA model, which can select a benchmarking target of an inefficient DMU in considering inputs or outputs improvement preference, and suggested an algorithm, which can select stepwise benchmarking targets of the inefficient DMU. Results: The proposed method was applied to 34 international ports for validation. In efficiency evaluation, five ports was evaluated as most efficient port, and the remaining 29 ports was evaluated as relative inefficient port. When port 34 was supposed as evaluated DMU, its can select its four stepwise benchmarking targets in assigning the preference weight to inputs (berth length, total area of pier, CFS, number of loading machine) as (0.82, 1.00, 0.41, 0.00). Conclusion: For the validation of the proposed method, it applied to the 34 major ports around the world and selected stepwise benchmarking targets for an inefficient port to improve its efficiency gradually. We can say that the proposed method enables for inefficient DMU to establish more effective and practical benchmarking strategy than the conventional DEA because it considers the resource (inputs or outputs) improvement preference in selecting benchmarking targets gradually.

• International Journal of Quality Innovation
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• 제8권2호
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• pp.57-68
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• 2007

Benchmarking is more than just a comparison of measures about different company's performance in a wider sense. It is a methodology of learning-comparing-learning, at least within small and medium sized enterprises. This learning is not just limited to learn by copying successful concepts from other enterprises or competitors. It starts in learning more about the own company, about its structure and processes causing its own success or its failure. This kind of learning is necessary before the enterprise starts watching for a suitable Benchmarking partner. Learning from each other's strengths and weaknesses is the main goal of the European research project Quality beyond Borders! By using the Benchmarking methodology, small and medium sized enterprises get the opportunity to take part in a Benchmarking study and can learn more about the different strengths and weaknesses of other enterprises on both sides of the border. The results of such a Benchmarking can help to identify potentials for future cooperations among German and Polish enterprises in the same market or business. These potentials can lie in different ways of realising the same success or top-position. The Benchmarking study is not focused on an special business or region. That helps to find out trends for different kinds of top-positions, which can be claimed in all markets within a country. Every trend is characterised by different success factors which are responsible for the success in this top-position. In a first overview, the results of the Benchmarking study show 5 different groups of top-positions within a market which all have different profiles regarding to the importance of their success factors. By the end of the Benchmarking study it will be possible, to give answer about the special reasons for different kind of successes of these groups. These answers can be related to a special region within a country, a special business or of course related to possible differences in the expression of the group success factors in comparison of both countries.

• 한국정밀공학회:학술대회논문집
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• 한국정밀공학회 2003년도 춘계학술대회 논문집
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• pp.13-17
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• 2003

Requirements of a benchmarking for rapid prototyping systems and process usually include manufacturing time, cost (including system price), and dimensional accuracy. This paper deals with a benchmarking comparisons to investigate the functional requirements of RP system. A special designed IMS_T2 test part with dimensional. geometrical, and surface roughness features has been used in the inspection of RP processes. IMS_T2 test part was built on 5 commercially available RP machines which are relatively new model in Korea.

• 국제학술발표논문집
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• The 9th International Conference on Construction Engineering and Project Management
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• pp.590-598
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• 2022

Benchmarking is an important tool to assess the performance of capital projects in the construction industry. Incorporating cost-related metrics into a benchmarking system requires an effective cost normalization process to enable meaningful comparisons among projects that were executed at different locations and times. Projects in the downstream and chemicals sector have unique characteristics compared to other types of construction projects, they require a distinctive cost normalization framework to be developed to benchmark their absolute cost performance. The purpose of this study is to develop such a framework to be used for the case of benchmarking the downstream and chemical projects for their performance assessment. The research team started with a review of existing cost normalization methodologies adopted in benchmarking systems and conducted 7 interviews to identify the current cost normalization practices used by industrial professionals. A panel of 12 experts was then convened and it held 6 review sessions to accomplish the framework development. The cost normalization framework for benchmarking downstream and chemical projects was established as a three-step procedure and it adopts a 4-element cost breakdown structure to accommodate projects submitted by both owners and contractors. It also incorporated 5 published cost indexes that are compatible with downstream and chemical projects and they were embedded into 2 options to complete the normalization process. The framework was then pilot-tested on 4 completed projects to validate its functional practicality and the downstream and chemical use case in the benchmarking system.

• 한국건설관리학회:학술대회논문집
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• 한국건설관리학회 2002년도 학술대회지
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• pp.57-63
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• 2002

미국 건설시장은 미국 전체 경제에 지대한 영향을 미치고 있다. 최근 통계에 의하면 미국 건설산업은 연간 약 4천억 달러 규모로 미국 GDP의 $4.5\%$을 차지하고 있다. 그리고 건설산업내의 치열한 경쟁 때문에 성과와 프로세스의 개선을 위해 벤치마킹이 관심을 끌고 있다. 본 글에서는 CII Benchmarking and Metrics 프로그램의 전반적인 소개와 현재까지 수집된 데이터베이스 그리고 데이터를 통계적으로 분석하여 회원사에게 제공하는 결과물을 소개하고 있다. 벤치마킹을 한국 건설시장에 도입하는 것은 한국 건설산업의 경쟁력 제고를 위한 한 방안이 될 것이다.

• 한국콘텐츠학회:학술대회논문집
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• 한국콘텐츠학회 2007년도 추계 종합학술대회 논문집
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• pp.391-395
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• 2007

벤치마킹은 실무적용이 용이한 경영혁신 기법으로 기업, 공공기관 등에서 널리 활용되고 있다. 그러나, 정보서비스 분야에서는 벤치마킹에 대한 체계적인 방법론 개발과 적용사례가 드문 편이다. 본고는 정보유통 분야에 벤치마킹 기법을 적용하기 위한 연구로써, 벤치마킹에 대한 기본 개념과 표준적인 프로세스를 살펴본 후 KISTI의 정보서비스 중에서 DB 구축 업무를 개선하기 위한 벤치마킹 계획을 수립해보았다.

• 한국콘텐츠학회논문지
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• 제21권12호
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• pp.84-94
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• 2021

객체 간의 관계를 표현하기 위해 정점과 간선으로 구성된 그래프 데이터를 효율적으로 저장하고 질의 처리하기 위한 그래프 데이터베이스가 개발되었다. 그래프 데이터베이스는 질의 유형이 기존 NoSQL 데이터베이스와 매우 다른 특성을 보이기 때문에 그래프 데이터베이스의 성능을 검증하기 위해서는 그래프 데이터베이스에 알맞은 벤치마킹 도구가 필요하다. 본 논문에서는 그래프 입력과 질의에 대한 다양성을 지원하는 효율적인 그래프 데이터베이스 벤치마킹 시스템을 제안한다. 제안하는 시스템은 그래프 데이터베이스에 대한 벤치마킹을 테스트하기 위해서 OrientDB를 활용한다. 입력 그래프와 질의 그래프의 다양성을 지원하기 위해서 기존 그래프 데이터 생성 도구인 LDBC를 이용한다. 벤치마킹 결과 분석을 통해 제안하는 기법의 타당성 및 실효성을 입증한다. 성능 평가 결과 제안하는 시스템은 사용자 정의 가능한 가상 그래프 데이터가 생성이 가능하며, 생성된 그래프 데이터를 기반으로 벤치마킹이 가능함을 보였다.