• Structural Engineering and Mechanics
• /
• v.37 no.5
• /
• pp.543-560
• /
• 2011

In structural engineering there are randomness inherently exist on determination of the loads, strength, geometry, and so on, and the manufacturing of the structural members, workmanship etc. Thus, objective and constraint functions of the optimization problem are functions that depend on those randomly natured components. The constraints being the function of the random variables are evaluated by using reliability index or performance measure approaches in the optimization process. In this study, the minimum weight of a space truss is obtained under the uncertainties on the load, material and cross-section areas with harmony search using reliability index and performance measure approaches. Consequently, optimization algorithm produces the same result when both the approaches converge. Performance measure approach, however, is more efficient compare to reliability index approach in terms of the convergence rate and iterations needed.

• Journal of Korean Library and Information Science Society
• /
• v.47 no.2
• /
• pp.287-304
• /
• 2016

This paper introduces a new bibliometric measure called Quality Factor, which assesses multiple facets of faculty research performance. The computation of Quality factor is based on a combination of publication count, citation count, h-index, and Impact Factor. In order to analyze the relationship between Quality Factor and other bibliometric measures (publication count, citation count, h-index, g-index, Impact Factor), the study collected publication data of 189 Korean Library and Information Science professors from 2001 to 2014 to produce the rankings of the faculty by each bibliometric measure and computed Spearman's rank correlations between the rankings. The overall results showed Quality Factor to be correlated to citation-driven measures (citation count, h-index, g-index), but the scatterplot as well as rank-interval analysis showed Quality Factor to be distinctive and more discriminating than other measures.

• Journal of Korea Society of Digital Industry and Information Management
• /
• v.10 no.4
• /
• pp.225-236
• /
• 2014

Productivity of public organizations was far older due to issue more difficult to measure than private organizations. Unlike the private sector, the public sector is a diverse and sometimes conflicting objectives (efficiency, effectiveness, equity, democracy, etc.) exist, it is difficult to measure productivity in a single index. Many departments of government is intricately interrelated and sometimes produced by the joint efforts, it is difficult to allocate performance, incentives and accountability to among departments. And there is the difficulty of collecting data on the productivity indicators of public organizations. Despite these difficulties, we developed a productivity index system and measuring method to systematically introduce the concept of productivity in the local administration. In this paper, the productivity and the productivity index measurement practices of local governments conducted annually from 2011 on was deep into research. First, the report found examples of the governments of the developed countries, productivity measurement, then the way MOPAS(Ministry of Public Administration and Security) measure productivity index of local governments, success factors, the implications were in-depth analysis. Finally, in order to enhance productivity and competitiveness municipalities studied ways to take advantage of the productivity index.

• Journal of Multimedia Information System
• /
• v.3 no.3
• /
• pp.53-61
• /
• 2016

This research proposes the index optimization as a classification task and application of the graph based KNN. We need the index optimization as an important task for maximizing the information retrieval performance. And we try to solve the problems in encoding words into numerical vectors, such as huge dimensionality and sparse distribution, by encoding them into graphs as the alternative representations to numerical vectors. In this research, the index optimization is viewed as a classification task, the similarity measure between graphs is defined, and the KNN is modified into the graph based version based on the similarity measure, and it is applied to the index optimization task. As the benefits from this research, by modifying the KNN so, we expect the improvement of classification performance, more graphical representations of words which is inherent in graphs, the ability to trace more easily results from classifying words. In this research, we will validate empirically the proposed version in optimizing index on the two text collections: NewsPage.com and 20NewsGroups.

• Journal of the Korean Society for Industrial and Applied Mathematics
• /
• v.2 no.2
• /
• pp.111-123
• /
• 1998

Performance index is a measure of telecommunications network integrating reliability and capacity simultaneously. This paper suggests a computerized algorithm evaluating a performance index for telecommunications network and compares this computerized algorithm with the algorithm[1] by experimenting on several benchmarks. A computerized algorithm proposed by this paper is superior to the algorithm[1] with respect to the computation time for most of the benchmarks.

• International Journal of Quality Innovation
• /
• v.8 no.1
• /
• pp.40-75
• /
• 2007

In the early industrial age which with high intensity of machine and labor, using financial measurement index was good enough to tie in company's mechanization and philosophy of management and been in efficiency. But being comply with "New Economic age," a new economic environment is full of knowledge and information, the enterprise competition had changed from tangible assets, plants to intangible innovation ability of knowledge. As recognizing the new tendency by enterprise, they value gradually the growth and influence from learning. Practice of organization learning not only needs firm structure and be in coordination with both hardware and software, but also needs an affect measurement model to offer enterprise to estimate learning performance. It's a good instrument of financial performance measure mold in the past years, But it's for measuring the past, couldn't formulate enterprise trend to future, hard to estimate investment for future, such as development of products, organization learning, knowledge management etc, as which intangible assets and knowledge ability just the key factors of being win around competition environment in the future. In 1992, Kaplan and Norton brought up Balance Scorecard (BSC) on Harvard Business Review, as an instrument helping enterprise to measure performance, which is being considered to be a most influence management instrument. It added non-financial index such as customer, internal process and learning growth besides traditional financial index, as offering enterprise an index to measure and manage intangible assets and intellectual property. As being aware of organization learning is hard to be ignored in the new economic age, this research is based on learning and growth of BSC, and citing one national material company try to let the most difficult measurement performance of organization learning, to be estimate through BSC, analyze of factor and individual case, to discuss the company how to make the related strategy and vision of organization learning to develop learning and growth of the structure of BSC, subject the matter of out put factors to be discussed, and measure the outcomes as a result of research. The research affect offers (1) the base implement procedure of carrying out BSC; (2) the reference of formulating measurement index while enterprise using BSC to estimate performance of organization learning; (3) the possibility bottleneck maybe forcing while carrying out BSC, to be an improvement or preventive for enterprise.

• Journal of Information Science Theory and Practice
• /
• v.9 no.3
• /
• pp.56-75
• /
• 2021

We introduce a new research assessment measure, called the research excellence index. The measure, which we denote by RE-index, accurately assesses the research performance of a researcher. The methodology used in deriving the RE-index tackles many of the flaws of popular research performance indicators such as publication counts, citation counts, and the h and g indices. A dataset is introduced, which takes advantage of the wide coverage of Scopus and the Library of Congress, and, at the same time, deals with the Scopus database depth problem. For an academic publication x, a prestige-type and length scores are assigned, and if x is published in an academic periodical publication J, the stature of J is identified through a quartile score. The three scores are used to assign a value score to every academic publication, and cited academic publications are given citation scores that encompass both cases of including and excluding self-citations. The foregoing scores are used to derive another set of scores measuring the combined qualitative and quantitative aspects of the creative work, citations of creative work, informative work and citations of informative work of a researcher. The scores take into consideration co-authorship. From these scores, two versions of the RE-index for a researcher are derived, covering the cases of including and excluding self-citations. The new measure is calculated for two mathematicians.

• Journal of Korean Society of Industrial and Systems Engineering
• /
• v.34 no.4
• /
• pp.114-119
• /
• 2011

Process capability indices (PCls) have been widely used in manufacturing industries to provide a quantitative measure of process potential and performance. The previous studies have measured only one location on each part in the case of single variate. To calculate the reliable process capability, a couple of measuring locations on each part are required. In this paper, we propose a new system process capability index $SC_{pm}$ (m) which is the minimum value of the location PCls.

• Proceedings of the Safety Management and Science Conference
• /
• 2009.04a
• /
• pp.501-510
• /
• 2009

Recently, there has been growing interest in the financial and economic effectiveness of service quality and customer satisfaction. It means that the final goal of customer satisfaction is the maximization with firms' financial performance, enterprise could survive through the creation of continuous financial performance. Companies are working in various ways to identify the direct relationship of service quality and customer satisfaction with financial and economic effectiveness in order to justify and validate customer satisfaction management. In this study, the influence of customer satisfaction on the financial performance is examined. Customer satisfaction index, the key non-financial performance measure has significant association with firms' financial performance index. Moreover, high customer satisfaction has a competitive advantage, so it can be the key success factor of firm's financial performance improvement.

• Proceedings of the Korean Society for Quality Management Conference
• /
• 2009.10a
• /
• pp.109-114
• /
• 2009

Recently, there has been growing interest in the financial and economic effectiveness of service quality and customer satisfaction. It means that the final goal of customer satisfaction is the maximization with firms' financial performance, enterprise could survive through the creation of continuous financial performance. Companies are working in various ways to identify the direct relationship of service quality and customer satisfaction with financial and economic effectiveness in order to justify and validate customer satisfaction management. In this study, the influence of customer satisfaction on the financial performance is examined. Also, we have analyzed customer satisfaction by comparing financial outcome of each industry Customer satisfaction index, the key non-financial performance measure has significant association with firms' financial performance index. Moreover, high customer satisfaction has a competitive advantage, so it can be the key success factor of firm's financial performance improvement.