• Title/Summary/Keyword: AHP methodology

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A Study on Factors of Influencing Human Error in Korean Rail Industry Using Analytic Hierarchy Process Method (분석계층과정 방법을 이용한 철도 인적오류영향요인 연구)

  • Sim, Young-Rok;Suh, Sang-Moon;Park, Geun-Ok;Koo, In-Soo
    • Proceedings of the KSR Conference
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    • 2006.11b
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    • pp.1501-1507
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    • 2006
  • The accidents are often resulted from multiple causes with hardware failure and human errors. So to ensure the safety of rail operation, human error should be prevented effectively. The purpose of this paper is to present an analysis system on factors of influencing human error in korean rail industry especially for engine driver and train despatcher. To achieve it, ESFs(error shaping factors) classification system was derived from several PSFs(performance shaping factors) classification system. Based on them, two kinds of questionnaires for engine driver and train despatcher each were developed. Then Analytic Hierarchy Process (AHP) methodology was used to evaluate what factors were critical to human error.

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A Selection Methodology for SLA Evaluation Factors with End-user Perspective (사용자 중심의 SLA 지표 선정 방법론)

  • Park, Chul-Han;Kim, Sang-Soo;In, Hoh
    • Annual Conference of KIPS
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    • 2006.11a
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    • pp.495-498
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    • 2006
  • IT 서비스의 안정적인 공급과 IT 서비스의 품질 개선을 이루고자 하는 SLA(Service Level Agreement)에 대해 많은 연구와 시도가 지금까지 진행되어 왔다. SLA 시행에 있어서 측정 지표와 그 평가 기준 선정은 매우 중요하나, 대부분 SLA 측정 지표들은 기술관점의 항목들로 구성되어 있기 때문에, SLA 시행 결과가 사용자 중심이 아닌 서비스 제공자 중심으로 나타나고 있다. 이는 사용자의 불만족을 초래하고 서비스 제공자와의 의사 소통을 어렵게 만들고, 결국 SLA 도입 실패로 이어지는 원인이 되고 있다. 본 연구에서는 기존의 SLA 측정 지표들에서, 사용자 중심의 SLA 측정 지표로 활용할 수 있는 항목들을 BSC 의 인과관계모델을 통해 추출하고, AHP 기법을 통해 SLA 평가 기준들과 측정 지표들에 대한 가중치를 도출하였다. 이를 통하여 사용자 관점의 SLA 지표 선정 방법에 대한 명확한 기준을 제시하였다.

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Fuzzy AHP Approach to TQM Strategy Evaluation

  • Tseng, Ming-Lang;Lin, Yuan-Hsu;Chiu, Anthony SF;Chen, Chia Yi
    • Industrial Engineering and Management Systems
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    • v.7 no.1
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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.

A Study on the Decision Making Models for Evaluating the Priorities in the Army Facility Enterprise (군 시설사업 우선순위선정을 위한 의사결정모형에 관한 연구)

  • 정성환;이상헌
    • Journal of the military operations research society of Korea
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    • v.27 no.2
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    • pp.37-55
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    • 2001
  • The main purpose of this study is to review the current system and to develop a decision support system for evaluating the priorities among those possible alternatives in the army facility enterprise. This paper also provides an information system which can be effectively applied to various criteria and stages in decision making process such as Planning and Programming phases in PPBEES. The model base of decision support systems uses the concepts of the analytic hierarchy process along with the supplementary techniques such as TOPSIS and 0-1 integer programming. Both AHP and TOPSIS are used scoring approaches in the Planning phase and IP is induced at the Programming phase to give GO/NO-GO solution for each project. We use Expert Choice, Excel and LINDO s/w's to implement a prototyped model. The proposed methodology in this paper enables the decision makers to evaluate the priority based on quantitative and qualitative data in a systematic way.

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Evaluating the Comfort Experience of a Head-Mounted Display with the Delphi Methodology

  • Lee, Doyeon;Chang, Byeng-hee;Park, Jiseob
    • Journal of Internet Computing and Services
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    • v.21 no.6
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    • pp.81-94
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    • 2020
  • This study developed evaluation indicators for the comfort experience of virtual reality (VR) headsets by classifying, defining, and weighting cybersickness-causing factors using the Delphi research method and analytic hierarchical process (AHP) approach. Four surveys were conducted with 20 experts on VR motion sickness. The expert surveys involved the 1) classification and definition of cybersickness-causing dimensions, classification of sub-factors for each dimension, and selection of evaluation indicators, 2) self-reassessment of the results of each step, 3) validity revaluation, and 4) final weighting calculation. Based on the surveys, the evaluation indicators for the comfort experience of VR headsets were classified into eight sub-factors: field of view (FoV)-device FoV, latency-device latency, framerate-device framerate, V-sync-device V-sync, rig-camera angle view, rig-no-parallax point, resolution-device resolution, and resolution-pixels per inch (PPI). A total of six dimensions and eight sub-factors were identified; sub-factor-based evaluation indicators were also developed.

Advanced Machine Learning Approaches for High-Precision Yield Prediction Using Multi-temporal Spectral Data in Smart Farming

  • Sungwook Yoon
    • International journal of advanced smart convergence
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    • v.13 no.3
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    • pp.335-344
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    • 2024
  • This study explores advanced machine learning techniques for improving crop yield prediction in smart farming, utilizing multi-temporal spectral data from drone-based multispectral imagery. Conducted in garlic orchards in Andong, Gyeongbuk Province, South Korea, the research examines the effectiveness of various vegetation indices and cutting-edge models, including LSTM, CNN, Random Forest, and XGBoost. By integrating these models with the Analytic Hierarchy Process (AHP), the study systematically evaluates the factors that influence prediction accuracy. The integrated approach significantly outperforms single models, offering a more comprehensive and adaptable framework for yield prediction. This research contributes to precision agriculture by providing a robust, AI-driven methodology that enhances the sustainability and efficiency of farming practices.

Evaluation of Risk Level for Damage of Marine Accidents In SRRs using Fuzzy Logic (퍼지로직을 이용한 해양사고 피해규모에 의한 해역별 위험수준 평가)

  • Jang Woon-Jae;Kwon Suk-Jae;Keum Jong-Soo
    • Proceedings of KOSOMES biannual meeting
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    • 2004.05b
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    • pp.1-6
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    • 2004
  • This paper suggests an evaluation of risk level for damage of marine accidents in SRRs. Qualitative analyses in words is sometimes priorior to quantative analyses in numeric symbols. This paper intoduces a concept of fuzzy theory with the plenty of related literature review and AHP in the Korean SRRs of RCC and RSC. The methodology of this paper is max . min composition of fuzzy extensive principle, defuzzifiation is centroid of gravity methods. At the result, the evaluation of risk level is especially over Serious for smarine accident of Taean, Gunsan, Mokpo, Yosu, Tongyoung, Busan SRR. This paper recommends that many Rescue Vessels and Equipments need to the reduction of risk level about those.

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The Importance Analysis on SME's ERP System Introduction Factors (중소기업의 ERP 시스템 도입요인에 대한 중요도 분석)

  • Oh, Sang-Kweon;Yi, Seon-Gyu
    • The Journal of the Korea Contents Association
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    • v.15 no.4
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    • pp.490-499
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    • 2015
  • In this study, for the introduction factors of ERP system suggested in the prior study, I analyzed the importance of each introduction factor by using Delphi methodology and AHP. As a result of analysing the importance of the introduction factors of the 1st layer, the supplier factor was analyzed to be the most important factor among innovation factor, information technology factor, the user factor, the supplier factor, and in the weight analysis on the 2nd layer considering the importance of 1st layer, the standard work model of the supplier factor was a suitable factor, and the CEO participation factor(.086) was analyzed as the second most important introduction factor. These analysis results enable to determine that domestic Small & Medium enterprises' position hope to introduce by selecting a system in which the company characteristics and management strategies are applied well, because they should operate an ERP system that has already been developed, and in this course, the participation of CEO was also found to be a very important factor.

Evaluation of Risk Level for Damage of Marine Accidents in SRRs using Fuzzy Theory (해양사고 피해규모에 의한 수색·구조 구역의 위험수준 평가)

  • Jang Woon-Jae;Keum Jong-Soo
    • Journal of Navigation and Port Research
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    • v.28 no.10 s.96
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    • pp.909-915
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    • 2004
  • This paper suggests an evaluation of risk level for damage of marine accidents in SRRs. Qualitative analyses in words is sometimes priorior to quantative analyses in numeric symbols. This paper introduces a concept of fuzzy theory with the plenty of related literature riview and AHP in the Korean SRRs of RCC and RSC. The methodology of this paper is $max{\cdot}min$ composition of fuzzy extensive principle, defuzzifiation is centroid of gravity methods. At the result, the evaluation of risk level is especially over Serious for marine accident of Busan SRRs. This paper recommends that many Rescue Vessels and Equipments need to the reduction of risk level about those.

Study on the development of Quantitative assessment indicator of safety culture for the construction site (건설현장 안전문화의 정량적 평가지표 개발에 관한 연구)

  • Jun, Heakyung;Kwon, Changhee
    • Journal of the Society of Disaster Information
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    • v.12 no.4
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    • pp.403-411
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    • 2016
  • The objectives of this study is to develop evaluation indicators for the quantitative evaluation of construction safety culture level in order to prevent accidents by evaluating the level of safety culture and each safety culture elements of the construction site and to present the areas that should be focused on improvements. In this study, it was presented assessment indicators of the construction safety culture by analyzing previous studies for safety culture, by categorizing items as an important element of safety culture hierarchically and by reflecting the opinion of the construction site professional personnels using AHP analysis methodology. The assessment indicators of the construction safety culture were structured the details of the leadership, systems, and personal characteristics and derived weighted value by the pairwise comparison to quantify the detail assessment indicators in order to assess the construction safety culture level. This study presents a safety culture assessment indicators for the construction site to suggest directions for improving the construction site safety culture and prevent the accidents of the construction site by derived via a safety culture assessment of construction site.