The Experts below are selected from a list of 26328 Experts worldwide ranked by ideXlab platform
Huchen Liu - One of the best experts on this subject based on the ideXlab platform.
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an integrated approach for failure mode and effect analysis based on uncertain linguistic gra topsis method
2019Co-Authors: Xiaoyue You, Huchen Liu, Liang WangAbstract:This paper provides a novel Risk priority approach for failure mode and effect analysis (FMEA), which can overcome some inherent drawbacks of the traditional Risk priority number (RPN) method in imprecise Risk evaluation, Risk factor weighting and questionable RPN computation. Considering FMEA team members’ vagueness and uncertainty in their evaluations on failure modes, two-dimensional uncertain linguistic variables are advised to describe the Risk evaluation result of a failure mode and the reliability of the evaluation result. The grey relation analysis–technique for order preference by similarity to ideal solution (GRA–TOPSIS) is applied for determining the Risk Ranking of the identified failure modes. In particular, a maximizing deviation method is employed for calculating the optimal weights of Risk factors in an objective way. Via a practical healthcare Risk analysis case, the new FMEA is proved to be appropriate and effective in coping with the Risk evaluation problems with uncertain linguistic information. Furthermore, by comparing with existing methods, it is shown that the proposed integrated approach excels in the Risk evaluation and prioritization of failure modes in FMEA.
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fmea using itl electre approach and its application to proton beam radiotherapy
2019Co-Authors: Huchen LiuAbstract:In this chapter, we describe the application of an ELimination Et Choix Traduisant la REalite (ELECTRE)-based outRanking approach for FMEA within the interval 2-tuple linguistic environment. Considering different types of FMEA team members’ assessment information, we employ a hybrid weighted averaging (HWA) to construct the group assessment matrix and use a modified ELECTRE method to analyze the group interval 2-tuple linguistic data. Furthermore, the new Risk Ranking model deals with the subjective and objective weights of Risk factors concurrently, considering the degree of importance that each concept has in the Risk analysis. The practicality and applicability of the proposed FMEA method are demonstrated by applying it to a Risk evaluation problem of proton beam radiotherapy and further validated by a comparative study with some existing FMEA models.
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fmea using ithwd measure and its application to blood transfusion
2019Co-Authors: Huchen LiuAbstract:In this chapter, we propose a new Risk priority model using interval 2-tuple hybrid weighted distance (ITHWD) measure to solve the problems and improve the performance of the traditional FMEA method. The new model can not only handle the uncertainty and diversity of FMEA team members’ Risk assessments but also consider the subjective and objective weights of Risk factors in the Risk Ranking process. Moreover, it has exact characteristic and can avoid information distortion and loss in the linguistic information processing. Finally, a case study of blood transfusion is provided to demonstrate the effectiveness and benefits of the proposed FMEA method.
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fmea using htl qualiflex approach and its application to c arm x ray machine
2019Co-Authors: Huchen LiuAbstract:In this chapter, we aim to develop a new Risk priority method for FMEA by integrating hesitant 2-tuple linguistic term sets and an extended qualitative flexible multiple criteria method (QUALIFLEX) approach. The concept of hesitant 2-tuple linguistic term sets is first presented to express various uncertainties in the assessment information of FMEA team members. Borrowing the idea of gray relational analysis (GRA), a multiple objective optimization model is constructed to determine the relative weights of Risk factors with incomplete weight information. The extended QUALIFLEX approach with an inclusion comparison method is then suggested to determine the Risk Ranking of failure modes. Finally, the practicality and effectiveness of the proposed FMEA are demonstrated through a case study of C-arm X-ray machine, and the results show that the new Risk priority approach is useful and flexible for handling complicated FMEA problems and can yield a reasonable and credible priority Ranking of failure modes.
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fmea using uncertain linguistic gra topsis and its application to endotracheal suctioning
2019Co-Authors: Huchen LiuAbstract:This chapter provides a novel Risk priority method for FMEA, which can overcome some inherent drawbacks of the traditional FMEA in Risk evaluation, Risk factor weighting, and RPN computation. Considering experts’ vagueness and uncertainty in their evaluations on failure modes, 2-dimensional uncertain linguistic variables (2DULVs) are advised to describe the Risk evaluation of failure modes and the reliability of the evaluation results. The grey relational analysis technique for order preference by similarity to ideal solution (GRA-TOPSIS) is applied for determining the Risk Ranking of the identified failure modes. In particular, a maximizing deviation method is employed for calculating the optimal weights of Risk factors in an objective way. Via a practical Risk analysis case of endotracheal tube (ETT) suctioning, the new FMEA is proved to be appropriate and effective in coping with the Risk evaluation problems with uncertain linguistic information. Furthermore, by comparing with existing methods, it is shown that the proposed integrated method excels in the Risk evaluation and prioritization of failure modes in FMEA.
H J Van Der Felsklerx - One of the best experts on this subject based on the ideXlab platform.
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critical review of methods for Risk Ranking of food related hazards based on Risks for human health
2018Co-Authors: H J Van Der Felsklerx, E D Van Asselt, Marian Raley, Morten Poulsen, Lea Bredsdorff, Maarten Nauta, Martin Dagostino, David Coles, Helle Korsgaard, Hans J P MarvinAbstract:This study aimed to critically review methods for Ranking Risks related to food safety and dietary hazards on the basis of their anticipated human health impacts. A literature review was performed ...
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critical review of methodology and application of Risk Ranking for prioritisation of food and feed related issues on the basis of the size of anticipated health impact
2015Co-Authors: H J Van Der Felsklerx, E D Van Asselt, Marian Raley, Morten Poulsen, Helle Bisgaard Korsgaard, Lea Bredsdorff, Maarten Nauta, V Flari, Martin Dagostino, David ColesAbstract:This study aimed to critically review methodologies for Ranking of Risks related to feed/food safety and nutritional hazards, on the basis of their anticipated human health impact. An extensive systematic literature review was performed to identify and characterize the available methodologies for Risk Ranking in the fields of feed and food safety and nutritional hazards, as well as the socio-economic field. Risk Ranking methods from the environmental field were studied as well to determine whether approaches used in this field could also be applied for Ranking human health Risks related to feed and food safety and nutritional hazards. The review used a predefined search protocol. It covered the bibliographic databases Scopus, CAB Abstracts, Web of Sciences, and PubMed over the period 1993-2013. All references obtained were stored into an Endnote database and evaluated for their relevance. All references deemed to be relevant were studied in–depth so as to characterize the Risk Ranking method described. Characteristics of each method were stored in an Excel database. The methods for Risk Ranking were then grouped into method categories, which were described in general. These groups included: Risk assessment, comparative Risk assessment, Risk ratio method, scoring method, cost of illness, DALY/QALY, willingness to pay, multi criteria decision analysis, Risk matrix, flow charts/decision trees and expert judgment methods. Based on the characteristics of the individual methods and the method categories, an overarching framework was developed for selection of the appropriate method(s) that could be used for Risk Ranking of feed and food related hazards, on the basis of human health impact. This framework has the format of a decision tool, with which – given the characteristics of the Risk Ranking question at hand - the most appropriate method(s) can be selected. Application of this overall framework to several case studies showed it can be a useful tool for Risk managers/assessors to select the most suitable method for Risk Ranking of feed/food and diet related hazards, on the basis of expected human health impact.
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Risk Ranking of chemical hazards in food a case study on antibiotics in the netherlands
2013Co-Authors: E D Van Asselt, M Van Der Spiegel, M Y Noordam, M G Pikkemaat, H J Van Der FelsklerxAbstract:Abstract Part of Risk based control is the prioritization of hazard-food combinations for monitoring food safety. The aim of the current study was to develop a method for Risk Ranking of chemical food safety hazards using a structured and transparent approach. The method established is semi-quantitative and uses scores on both severity and probability of the hazard. The method was applied in a case study on antibiotic residue monitoring in a variety of products in the Netherlands. Severity of the hazard was scored using the Acceptable Daily Intake (ADI) as well as a score on the severity of antimicrobial resistance. Probability of the hazard depended on the amount of product consumed and on the amount of antibiotics used in animals as well as evidence of residues found. Data were gathered using literature research and expert opinions. The method showed that antibiotics most relevant for monitoring were product specific. Overall, nitrofurans were amongst the most important antibiotics to be included in monitoring programs for the products studied: pork, beef, poultry, honey and shrimps. This was mainly due to the detection of residues in products imported from outside the EU. Oxytetracycline was another major important antibiotic for the products studied (both nationally produced and imported). The study showed that the method derived is capable of Ranking antibiotic-food combinations and has potential for the application in other chemical hazard-food combinations.
Ian S Hartwell - One of the best experts on this subject based on the ideXlab platform.
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correlation of measures of ambient toxicity and fish community diversity in chesapeake bay usa tributaries urbanizing watersheds
1997Co-Authors: Ian S Hartwell, Celia E Dawson, Eric Q Durell, Ray W Alden, Peter C Adolphson, David A Wright, Gina M Coelho, John A Magee, Steven Ailstock, Mike NormanAbstract:This study was performed to evaluate ambient toxicity conditions in Chesapeake Bay tidal tributaries whose watersheds are impacted by urban development and to further evaluate an existing toxicological Risk Ranking model. A battery of water-column and sediment bioassays were employed with animals and plants. The study was conducted in coordination with a fish community sampling program. Tests were conducted monthly from April through August 1994 at five sample sites in each of four tidal tributaries. Mortality, reproduction, and growth rates in the water-column assays did not consistently indicate chemical contamination in any system. Chemical analyses did not indicate elevated levels of contaminants in the water column. Sediment bioassays demonstrated greater responses than water-column assays. Sediment in the upstream reaches of the South River demonstrated significant toxicity. Toxicity was also observed at the uppermost Severn River station and the middle Patuxent River station. Chemical analyses of composite sediment samples indicated elevated metals levels in the South River. Some metals were above threshold values in the Patuxent and Wicomico rivers. The AVS/SEM ratios in pore water were below 1 in all cases. Organic analyses demonstrated low level polycyclicaromatic hydrocarbon contamination in all four systems. The toxicological Risk Ranking model ranked the South River as the most contaminant-impacted site. The Patuxent and Severn rivers were ranked below the South River; however, the Ranking model identified specific locations in the Severn and Patuxent rivers that indicate sediment contamination. The Wicomico River had the lowest overall Risk score. The Patuxent River requires more intense sampling due to its relatively larger size. The toxicological Risk Ranking results for sediment were significantly correlated with species diversity for fish communities sampled by bottom trawl. Results were consistent with data from previous years. Regression analysis of 2 years of data indicate that fish community impairment can be predicted with ambient toxicity results.
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demonstration of a toxicological Risk Ranking method to correlate measures of ambient toxicity and fish community diversity
1997Co-Authors: Ian S HartwellAbstract:The goal of this study was to assess a new toxicological Risk Ranking model, field validate it with results from a battery of sediment and water column bioassays, and identify correlations of model output with fish community and population metrics. The model has five components: severity of effect, degree of response, bioassay variability, consistency, and number of measured endpoints. The model can reliably reduce an array of ambient toxicity data into a site-specific metric that is appropriate for comparisons with other metrics, such as Index of Biotic Integrity (IBI) or community diversity indices. The model is tolerant of variable amounts of data between stations. It does not generate probability limits without repeated sampling. The model can identify trends between sampling stations and document where chemical contamination is contributing to community impacts as well as where toxicological impacts are not likely to be contributing to observed population level impairment. The model was evaluated with field/laboratory data. Test sites were located in tributaries of Chesapeake Bay watersheds that are impacted by industrial, urban, and agricultural land use patterns. The toxicological Risk scores correlate with fish community health metrics. The strongest correlations were between sediment toxicity Risk and bottom trawl fish community diversity index.
M.e. Schuppers - One of the best experts on this subject based on the ideXlab platform.
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Using multi-criteria Risk Ranking methodology to select case studies for a generic Risk assessment framework for exotic disease incursion and spread through Europe
2018Co-Authors: Verity Horigan, M. De Nardi, Robin R. L. Simons, Silvia Bertolini, Maria Ines Crescio, Augustin Estrada-peña, Anaïs Léger, Cristiana Maurella, M.e. SchuppersAbstract:Abstract We present a novel approach of using the multi-criteria pathogen prioritisation methodology as a basis for selecting the most appropriate case studies for a generic Risk assessment framework. The approach uses selective criteria to rank exotic animal health pathogens according to the likelihood of introduction and the impact of an outbreak if it occurred in the European Union (EU). Pathogens were evaluated based on their impact on production at the EU level and international trade. A subsequent analysis included criteria of relevance to quantitative Risk assessment case study selection, such as the availability of data for parameterisation, the need for further research and the desire for the case studies to cover different routes of transmission. The framework demonstrated is flexible with the ability to adjust both the criteria and their weightings to the user’s requirements. A web based tool has been developed using the RStudio shiny apps software, to facilitate this.
E D Van Asselt - One of the best experts on this subject based on the ideXlab platform.
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critical review of methods for Risk Ranking of food related hazards based on Risks for human health
2018Co-Authors: H J Van Der Felsklerx, E D Van Asselt, Marian Raley, Morten Poulsen, Lea Bredsdorff, Maarten Nauta, Martin Dagostino, David Coles, Helle Korsgaard, Hans J P MarvinAbstract:This study aimed to critically review methods for Ranking Risks related to food safety and dietary hazards on the basis of their anticipated human health impacts. A literature review was performed ...
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critical review of methodology and application of Risk Ranking for prioritisation of food and feed related issues on the basis of the size of anticipated health impact
2015Co-Authors: H J Van Der Felsklerx, E D Van Asselt, Marian Raley, Morten Poulsen, Helle Bisgaard Korsgaard, Lea Bredsdorff, Maarten Nauta, V Flari, Martin Dagostino, David ColesAbstract:This study aimed to critically review methodologies for Ranking of Risks related to feed/food safety and nutritional hazards, on the basis of their anticipated human health impact. An extensive systematic literature review was performed to identify and characterize the available methodologies for Risk Ranking in the fields of feed and food safety and nutritional hazards, as well as the socio-economic field. Risk Ranking methods from the environmental field were studied as well to determine whether approaches used in this field could also be applied for Ranking human health Risks related to feed and food safety and nutritional hazards. The review used a predefined search protocol. It covered the bibliographic databases Scopus, CAB Abstracts, Web of Sciences, and PubMed over the period 1993-2013. All references obtained were stored into an Endnote database and evaluated for their relevance. All references deemed to be relevant were studied in–depth so as to characterize the Risk Ranking method described. Characteristics of each method were stored in an Excel database. The methods for Risk Ranking were then grouped into method categories, which were described in general. These groups included: Risk assessment, comparative Risk assessment, Risk ratio method, scoring method, cost of illness, DALY/QALY, willingness to pay, multi criteria decision analysis, Risk matrix, flow charts/decision trees and expert judgment methods. Based on the characteristics of the individual methods and the method categories, an overarching framework was developed for selection of the appropriate method(s) that could be used for Risk Ranking of feed and food related hazards, on the basis of human health impact. This framework has the format of a decision tool, with which – given the characteristics of the Risk Ranking question at hand - the most appropriate method(s) can be selected. Application of this overall framework to several case studies showed it can be a useful tool for Risk managers/assessors to select the most suitable method for Risk Ranking of feed/food and diet related hazards, on the basis of expected human health impact.
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Risk Ranking of chemical hazards in food a case study on antibiotics in the netherlands
2013Co-Authors: E D Van Asselt, M Van Der Spiegel, M Y Noordam, M G Pikkemaat, H J Van Der FelsklerxAbstract:Abstract Part of Risk based control is the prioritization of hazard-food combinations for monitoring food safety. The aim of the current study was to develop a method for Risk Ranking of chemical food safety hazards using a structured and transparent approach. The method established is semi-quantitative and uses scores on both severity and probability of the hazard. The method was applied in a case study on antibiotic residue monitoring in a variety of products in the Netherlands. Severity of the hazard was scored using the Acceptable Daily Intake (ADI) as well as a score on the severity of antimicrobial resistance. Probability of the hazard depended on the amount of product consumed and on the amount of antibiotics used in animals as well as evidence of residues found. Data were gathered using literature research and expert opinions. The method showed that antibiotics most relevant for monitoring were product specific. Overall, nitrofurans were amongst the most important antibiotics to be included in monitoring programs for the products studied: pork, beef, poultry, honey and shrimps. This was mainly due to the detection of residues in products imported from outside the EU. Oxytetracycline was another major important antibiotic for the products studied (both nationally produced and imported). The study showed that the method derived is capable of Ranking antibiotic-food combinations and has potential for the application in other chemical hazard-food combinations.
