scholarly journals Study on Nuclear Accident Precursors Using AHP and BBN

2014 ◽  
Vol 2014 ◽  
pp. 1-12 ◽  
Author(s):  
Sujin Park ◽  
Huichang Yang ◽  
Gyunyoung Heo ◽  
Muhammad Zubair ◽  
Rahman Khalil Ur
Keyword(s):  
Safety Assessment ◽  
Posterior Probability ◽  
Prior Probability ◽  
Lessons Learned ◽  
Nuclear Accident ◽  
Analytic Hierarchy ◽  
Fukushima Accident ◽  
Hierarchy Process ◽  
Limited Scope

Most of the nuclear accident reports used to indicate the implicit precursors which are not easily quantified as underlying factors. The current Probabilistic Safety Assessment (PSA) is capable of quantifying the importance of accident causes in limited scope. It was, therefore, difficult to achieve quantifiable decision-making for resource allocation. In this study, the methodology which facilitates quantifying these precursors and a case study were presented. First, four implicit precursors have been obtained by evaluating the causality and hierarchy structure of various accident factors. Eventually, it turned out that they represent the lack of knowledge. After four precursors are selected, subprecursors were investigated and their cause-consequence relationship was implemented by Bayesian Belief Network (BBN). To prioritize the precursors, the prior probability is initially estimated by expert judgment and updated upon observations. The pair-wise importance between precursors is calculated by Analytic Hierarchy Process (AHP) and the results are converted into node probability tables of the BBN model. Using this method, the sensitivity and the posterior probability of each precursor can be analyzed so that it enables making prioritization for the factors. We tried to prioritize the lessons learned from Fukushima accident to demonstrate the feasibility of the proposed methodology.

Prioritization of Underlying Precursors in Nuclear Accidents

2014 ◽  
Author(s):  
Sujin Park ◽  
Huichang Yang ◽  
Gyunyoung Heo ◽  
Muhammad Zubair
Keyword(s):  
Safety Assessment ◽  
Posterior Probability ◽  
Prior Probability ◽  
Bayesian Belief Network ◽  
Lessons Learned ◽  
Nuclear Accidents ◽  
Analytic Hierarchy ◽  
Fukushima Accident ◽  
Hierarchy Process

The facts that the implicit precursors which are not easily quantified are underlying factors are already known. The current Probabilistic Safety Assessment (PSA) is limited in its ability to quantify the importance of accident causes. It is, therefore, difficult to achieve quantifiable decision-making for resource allocation. In this study, the methodology which facilitates quantifying these precursors and a case study is presented. First, four implicit precursors have been obtained by evaluating the causality and hierarchy structure of various accident factors. Eventually it turned out they represent the lack of knowledge. After four precursors are selected, sub-precursors were investigated and their cause-consequence relationship was implemented by Bayesian Belief Network (BBN). To prioritize the precursors, the prior probability is initially estimated by expert judgment and updated upon observations. The pair-wise importance between precursors is calculated by Analytic Hierarchy Process (AHP) and the results are converted into node probability tables of the BBN model. Using this method, the sensitivity and the posterior probability of each precursor can be analyzed so that it enables to make prioritization for the factors. Authors tried to prioritize the lessons-learned from Fukushima accident to demonstrate the feasibility of the proposed methodology.

scholarly journals Food and Agricultural Product Pilot Selection for Geographical Indication Projects

New Medit ◽  
2020 ◽  
Vol 19 (3) ◽  
Author(s):  
SERTAÇ Dokuzlu ◽  
Jean-Claude PONS ◽  
Emilie VANDECANDELAERE ◽  
Maud ROGGIA ◽  
Maria RICCI ◽  
...  
Keyword(s):  
Lessons Learned ◽  
Agricultural Product ◽  
Control Group ◽  
Geographical Indication ◽  
Analytic Hierarchy ◽  
Product Selection ◽  
Standard Data ◽  
Concrete Experience ◽  
Hierarchy Process

This study assesses methodologies used during the selection of pilot products for the support to development of sustainable geographical indication projects by using the FAO/EBRD project as a case study. Relevant pilot products are essential to provide stakeholders with concrete experience, demonstrative effects and lessons learned in order to disseminate bets practices and facilitate scaling-out of sustainable GI processes. Qualitative data were transformed to quantitative data for product selection because data for local products were insufficient, and standard data were unavailable for each product. Analytic hierarchy process (AHP), simple scoring and geographical indication assessment form were used together as product selection methods. Gemlik Olives, the first registered geographical indication product in the Bursa province, was included during assessment as a control group. Six local products with a potential for GI registration were considered for pilot product selection to serve as demonstrative process. Results suggest that the most important selection criteria were “reputation of the product” and “power of the organisation” and first two ranked products selected for the project were Bursa Black Figs and Bursa Peaches.

Safety Assessment of Railway Dangerous Goods Transportation Based on Set Pair Analysis

2013 ◽  
Vol 869-870 ◽  
pp. 288-292
Author(s):  
Dong Jie Liu ◽  
Zhen Lin Wei
Keyword(s):  
Safety Assessment ◽  
Assessment Model ◽  
Engineering System ◽  
Set Pair Analysis ◽  
System Research ◽  
Analytic Hierarchy ◽  
Dangerous Goods ◽  
Index Weight ◽  
Hierarchy Process ◽  
Pair Analysis

In order to overcome the drawbacks that occur when traditional safety assessment methods do not consider the certain and uncertain characteristics of information and in order to enhance the calculation efficiency, a new Identical Discrepancy Contrary (IDC) system is safety comprehensive assessment model based on Set Pair Analysis is established. Incorporating the Analytic Hierarchy Process (AHP) to obtain the index weight, this model analyses the uncertainties in the degree of connection acquired by assessment, and then makes the identical discrepancy contrary system research on the certainty and uncertainty of information in the engineering system.

Analysis of the Safety Factors of Municipal Road Undercrossing Existing Bridge Based on Fuzzy Analytic Hierarchy Process Methods

2021 ◽  
pp. 036119812110318
Author(s):  
Yonghong Yang ◽  
Yu Chen ◽  
Zude Tang
Keyword(s):  
Safety Assessment ◽  
Evaluation Method ◽  
Comprehensive Evaluation ◽  
Safety Evaluation ◽  
Safety Factors ◽  
Analytic Hierarchy ◽  
Road Engineering ◽  
Existing Bridges ◽  
Hierarchy Process ◽  
Engineering Projects

Increasing traffic volume and insufficient road lanes often require municipal roads to be reconstructed and expanded. Where a road passes under a bridge, the reconstruction and expansion project will inevitably have an impact on the bridge. To evaluate the safety impact of road engineering projects on bridges, this paper evaluates the safety of the roads and ancillary facilities of highway bridges involved in municipal road engineering projects. Based on a comprehensive analysis of the safety factors of municipal roads undercrossing existing bridges, a fuzzy comprehensive analytic hierarchy process (AHP) evaluation method for the influence of road construction on the safety of existing bridges is proposed. First, AHP is used to select 11 evaluation factors. Second, the target layer, criterion layer, and index layer of evaluation factors are established, then a safety evaluation factor system is formed. The three-scale AHP model is used to determine the weight of assessment indexes. Third, through the fuzzy comprehensive AHP evaluation model, the fuzzy hierarchical comprehensive evaluation is carried out for the safety assessment index system. Finally, the fuzzy comprehensive evaluation method is applied to the engineering example of a municipal road undercrossing an existing expressway bridge. The comprehensive safety evaluation of the existing bridge reflects the practicability and feasibility of the method. It is expected that, with further development, the method will improve the decision-making process in bridge safety assessment systems.

scholarly journals User needs elicitation via analytic hierarchy process (AHP). A case study on a Computed Tomography (CT) scanner

2013 ◽  
Vol 13 (1) ◽  
Author(s):  
Leandro Pecchia ◽  
Jennifer L Martin ◽  
Angela Ragozzino ◽  
Carmela Vanzanella ◽  
Arturo Scognamiglio ◽  
...  
Keyword(s):  
Computed Tomography ◽  
Analytic Hierarchy Process ◽  
User Needs ◽  
Ct Scanner ◽  
Analytic Hierarchy ◽  
Hierarchy Process

Integrated Quality Function Deployment as a Tool for Quality Achievement in Healthcare

2012 ◽  
Vol 1 (2) ◽  
pp. 80-92 ◽  
Author(s):  
Chintala Venkateswarlu ◽  
A. K. Birru
Keyword(s):  
Analytic Hierarchy Process ◽  
Quality Function Deployment ◽  
Healthcare Services ◽  
Relative Importance ◽  
Analytic Hierarchy ◽  
Direct Evaluation ◽  
Quality Function ◽  
Model Combining ◽  
Hierarchy Process

Quality function deployment (QFD) is a methodology that extracts client demands (CDs) and inducting them in the final service/product. Once CDs are extracted from client the traditional QFD approach uses absolute importance to identify the degree of importance for each CD. Direct evaluation of CDs based on absolute weighting without tradeoffs is easy to perform, but may lead to serious deviations from reality. An alternative to avoid this problem is to adopt the analytic hierarchy process (AHP) approach. In this paper, an integrated model combining AHP and QFD has been delineated as a quality achievement tool in healthcare. A case study is performed on the healthcare services provided by government general hospital, Indore District, Madhya Pradesh, India and data has been analyzed to benchmark the proposed framework by computing the degree of relative importance for CDs through AHP and incorporating them in subsequent deployment matrices.

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