• Title/Summary/Keyword: Quantitative Criteria

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A Study of Quantitative Evaluation Indicators on Residential Units in Multiple Stock Housing based on Space Composition Types (공동주택 단위주호의 공간구성유형에 따른 정량적 평가지표에 관한 연구)

  • Lee, Byeongho;Lee, Geonwon;Yeo, Youngho
    • KIEAE Journal
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    • v.10 no.5
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    • pp.43-55
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    • 2010
  • This research investigated 162 residential unit plans which were located in Seoul and Gyonggi Province ranging from 58 to $118m^2$ unit net area recently. Through the investigation of unit plans, a matrix was developed based on the 5 criteria for space composition types. 5 criteria are building stock types, W/D ratio of units, unit net area, number of bay to the main orientation, and openness types. After review the matrix, 10 typical unit types were selected. At the same time, quantitative evaluation indicators were developed based on the 4 criteria such as efficiency, openness, flexibility, environmental sustainability. On each criterion, 3 indicators were developed, and measured on 162 residential unit plans. Firstly, correlation analysis were pursued on 5 criteria for space composition types and 12 quantitative evaluation indicators, and reviewed on each other. Finally, quantitative evaluation indicators of 10 typical unit types were displayed on radar charts in order to show the integrated evaluation on 4 criteria such as efficiency, openness, flexibility, environmental sustainability. From the reviews and radar chart analyses, advantages, disadvantages, and improvements on each typical unit type were presented as research results.

A Study on the Trends of Evaluation Criteria for Industry-University Cooperation in Korea (국내의 대학 산학협력 평가준거 동향에 대한 연구)

  • Kwak, Jin-young
    • Journal of Engineering Education Research
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    • v.26 no.6
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    • pp.62-70
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    • 2023
  • The purpose of this study is to derive implications for improving related policies and evaluation criteria in the future by analyzing trends of evaluation criteria for industry-university cooperation in Korea. For this purpose, five surveys on industry-university cooperation by government departments, major general university evaluations, and evaluation indicators of specialized industry-university evaluations by the Ministry of Education were analyzed. As a result, most of the evaluation criteria for domestic industry-university cooperation have been composed of quantitative indicators and have a limited character as quantitative performance management for government projects. Although the Ministry of Education's evaluation criteria for industry-university cooperation projects has gradually changed to a segmented index considering universities, industries, and regions, it needs to be supplemented for sustainability of industry-university cooperation. In order to promote sustainable industry-university cooperation in the future, it was suggested that first, it is necessary to supplementation of qualitative Indicators considering each university's characteristics, second, the composition of indicators related to reflect on demand in the process of the cooperation, and third, to build a virtuous cycle system for future operation of evaluation criteria.

Quantitative Evaluation Index Derivation of the Software Based on ISO/IEC 9126-2 Metrics (ISO/IEC 9126-2 메트릭을 활용한 소프트웨어 정량적 평가 지표 도출)

  • Cho, Sungho;Jang, Joongsoon
    • Journal of Applied Reliability
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    • v.16 no.2
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    • pp.134-146
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    • 2016
  • Purpose: Many domestic companies have to make out quantitative evaluation table in their proposal when they conduct the software R&D project. However, most of companies have a difficulty to select the evaluation items and criteria, also to derive a quantitative results. Therefore, we propose a method to derive the quantitative evaluation index by utilizing the ISO/IEC 9126-2. Methods: Analyzing ISO/IEC 9126-2, and we classify the quality metrics as high-classification and sub-classification for Web/App software, Embedded software and Installation software. Next, Conduct the metrics selection survey depending on importance and necessity. Then, carry out the case study. Verify the correspondence between evaluation items and criteria from original suggestion of company and from outcome by utilizing the ISO/IEC 9126-2 quality metrics. Results: It is possible to classify into two metrics, one for common software or one another for only special software. Furthermore, there is quality metrics that is more important and more necessary depending upon characteristics of the software. Conclusion: ISO/IEC 9126-2 quality metrics can be used to make an evaluation items and criteria for quantitative evaluation table of software product.

Identification of Supply Chain Management Performance Assessment Criteria for Textile and Apparel Enterprises in Distribution Science

  • Nhu-Mai Thi NONG;Duc-Son HA
    • Journal of Distribution Science
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    • v.22 no.7
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    • pp.73-82
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    • 2024
  • Purpose: This study aims to identify the assessment criteria on textile and apparel supply chain management performance. Research design, data, and methodology: An integrated method of Delphi, quantitative survey, and ANP, in which Delphi with Kamet principle was applied to define the set of criteria, quantitative survey with reliability and validity test was utilized to ensure the match between the set of criteria and the whole textile and apparel industry, and ANP was used to derive weights of these criteria. Results: The set of supply chain management performance evaluation criteria composes of seven criteria namely order fulfillment quality, agility, costs, asset management, information sharing, innovation, and product development and 19 sub-criteria. Conclusions: This study theoretical contribution is the proposition of the set of evaluation criteria on supply chain performance. Regarding practical contribution, the study findings are guidelines for T&A companies in assessing and improving their supply chain capability. However, the findings are only for Vietnamese T&A context. Future research, therefore, may be expanded to other regions or countries' T&A industry. Additionally, future step to this study may be the utilization of other techniques of MCDM or methodological approaches like multiple regression, PLSSEM in defining weights of criteria or performance evaluation.

Improvement of Quantitative Condition Assessment Criteria for Reservoir Embankment Safety Inspection Considering Characteristics of Small Reservoirs in Korea (소규모 저수지의 특성을 고려한 제체 안전진단의 정량적 상태평가 기준 개선)

  • Jeon, Geonyeong;Bang, Donseok
    • Journal of The Korean Society of Agricultural Engineers
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    • v.63 no.5
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    • pp.27-38
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    • 2021
  • The physical condition assessment criteria of fill dam safety inspection are now weakly regulated and inappropriate for small agricultural reservoirs since these criteria have fundamental backgrounds suitable for large-scale dams. This study proposes the degree (critical values) of defects for the quantitative condition assessment of the embankment in order to prepare the condition assessment criteria for a small reservoir with a storage capacity of less than one (1) million cubic meters. The critical values of defects were calculated by applying the method that considers the size ratios based on the dimensional data of reservoirs, and the method of statistical analysis on the measured values of the defect degree which extracted from comprehensive annual reports on reservoir safety inspection. In comparison with the current criteria, the newly proposed critical values for each condition assessment item of the reservoir embankment are presented in paragraphs 4 and 6 of the conclusion. In addition, this study presents a method of displaying geometric figures to clarify the rating classification for condition assessment items with the two defect indicators.

Quantitative risk assessment for wellbore stability analysis using different failure criteria

  • Noohnejad, Alireza;Ahangari, Kaveh;Goshtasbi, Kamran
    • Geomechanics and Engineering
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    • v.24 no.3
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    • pp.281-293
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    • 2021
  • Uncertainties in geomechanical input parameters which mainly related to inappropriate data acquisition and estimation due to lack of sufficient calibration information, have led wellbore instability not yet to be fully understood or addressed. This paper demonstrates a workflow of employing Quantitative Risk Assessment technique, considering these uncertainties in terms of rock properties, pore pressure and in-situ stresses to makes it possible to survey not just the likelihood of accomplishing a desired level of wellbore stability at a specific mud pressure, but also the influence of the uncertainty in each input parameter on the wellbore stability. This probabilistic methodology in conjunction with Monte Carlo numerical modeling techniques was applied to a case study of a well. The response surfaces analysis provides a measure of the effects of uncertainties in each input parameter on the predicted mud pressure from three widely used failure criteria, thereby provides a key measurement for data acquisition in the future wells to reduce the uncertainty. The results pointed out that the mud pressure is tremendously sensitive to UCS and SHmax which emphasize the significance of reliable determinations of these two parameters for safe drilling. On the other hand, the predicted safe mud window from Mogi-Coulomb is the widest while the Hoek-Brown is the narrowest and comparing the anticipated collapse failures from the failure criteria and breakouts observations from caliper data, indicates that Hoek-Brown overestimate the minimum mud weight to avoid breakouts while Mogi-Coulomb criterion give better forecast according to real observations.

An Integrated AHP-VIKOR Methodology for Facility Layout Design

  • Shokri, Hamidreza;Ashjari, Behzad;Saberi, Morteza;Yoon, Jin Hee
    • Industrial Engineering and Management Systems
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    • v.12 no.4
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    • pp.389-405
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    • 2013
  • A facility layout design (FLD) problem can be generally introduced as assignment of facilities (departments) to a site such that a set of criteria are satisfied or some objectives are minimized (maximized). Hence, it can be considered as a multi-criteria problem due to the presence of qualitative criteria such as maintenance or flexibility and quantitative criteria such as the total cost of handling material. The VIKOR method was developed to solve multiple criteria decision making problems with conflicting and non-commensurable (different units) criteria, assuming that compromising is acceptable for conflict resolution, the decision maker wants a solution that is the closest to the ideal, and the alternatives are evaluated according to all established criteria. This paper proposes a hierarchical analytic hierarchy process (AHP) and VIKOR approach to solve the FLD problem. A computer-aided layout-planning tool is adopted to generate the facility layout problems, as well as their quantitative data. The qualitative performance measures are weighted by AHP. VIKOR is then used to solve the FLD problem. Finally, the proposed integrated procedure is applied to three real-time examples.

A Multiple-criteria Facility Layout Model Considering the Function for Maintaining the Distance between Facilities (설비간(設備間) 거리유지(距離維持) 기능(機能)을 고려(考慮)한 다기준(多基準) 설비배치(設備配置) 모델)

  • Choe, Chang-Ho;Lee, Sang-Yong
    • Journal of Korean Society for Quality Management
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    • v.21 no.1
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    • pp.190-198
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    • 1993
  • A multiple criteria model for the facility layout problem considers both of the quantitative, the cost of the work flow, and qualitative, the closeness rating score, aspect. Rosenblatt, Fortenberry & Cox and Urban have developed multiple criteria models that consider both of the quantitative and qualitative aspect. Fortenberry & Cox's multiplicity model penalizes facilities with undesirable closeness rating and high work flows more than those undesirable closeness rating and low work flow between them to contribute to the objective function regardless of the closeness rating between these facilities. In this paper, it is intended to develops a improved multiple-criteria facility layout model considering the function for maintaning the distance between facilities.

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A Study on the R&D Evaluation system of New & Renewable Energy (신재생에너지 평가시스템 구축)

  • Kim, Yu-Jeong
    • 한국신재생에너지학회:학술대회논문집
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    • 2005.06a
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    • pp.656-659
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    • 2005
  • his paper develops the systematic and quantitative priority-determining method for national investment using the framework of evaluating R&D. This study proposes multi criteria for evaluating the R&D of New & Renewable Energy through analysing the attribute of 11 types of energy. The framework is constituted by 4 criteria, the political urgency, economic impact, regional constraint. and technological attribute and the each criteria has 3 or 4 sub-criteria. These sub-criteria are weighted using AHP.

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PERFORMANCE EVALUATION OF INFORMATION CRITERIA FOR THE NAIVE-BAYES MODEL IN THE CASE OF LATENT CLASS ANALYSIS: A MONTE CARLO STUDY

  • Dias, Jose G.
    • Journal of the Korean Statistical Society
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    • v.36 no.3
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    • pp.435-445
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    • 2007
  • This paper addresses for the first time the use of complete data information criteria in unsupervised learning of the Naive-Bayes model. A Monte Carlo study sets a large experimental design to assess these criteria, unusual in the Bayesian network literature. The simulation results show that complete data information criteria underperforms the Bayesian information criterion (BIC) for these Bayesian networks.