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Theodoros H. Varzakas - One of the best experts on this subject based on the ideXlab platform.
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application of iso22000 failure mode and effect analysis fmea cause and effect Diagrams and pareto in conjunction with haccp and risk assessment for processing of pastry products
Critical Reviews in Food Science and Nutrition, 2011Co-Authors: Theodoros H. VarzakasAbstract:The Failure Mode and Effect Analysis (FMEA) model has been applied for the risk assessment of pastry processing. A tentative approach of FMEA application to the pastry industry was attempted in conjunction with ISO22000. Preliminary Hazard Analysis was used to analyze and predict the occurring failure modes in a food chain system (pastry processing plant), based on the functions, characteristics, and/or interactions of the ingredients or the processes, upon which the system depends. Critical Control points have been identified and implemented in the cause and effect Diagram (also known as Ishikawa, Tree Diagram, and fishbone Diagram). In this work a comparison of ISO22000 analysis with HACCP is carried out over pastry processing and packaging. However, the main emphasis was put on the quantification of risk assessment by determining the Risk Priority Number (RPN) per identified processing hazard. Storage of raw materials and storage of final products at −18°C followed by freezing were the processes identi...
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Application of iso22000, failure mode, and effect analysis (FMEA) cause and effect Diagrams and pareto in conjunction with HACCP and risk assessment for processing of pastry products
Critical Reviews in Food Science and Nutrition, 2011Co-Authors: Theodoros H. VarzakasAbstract:The Failure Mode and Effect Analysis (FMEA) model has been applied for the risk assessment of pastry processing. A tentative approach of FMEA application to the pastry industry was attempted in conjunction with ISO22000. Preliminary Hazard Analysis was used to analyze and predict the occurring failure modes in a food chain system (pastry processing plant), based on the functions, characteristics, and/or interactions of the ingredients or the processes, upon which the system depends. Critical Control points have been identified and implemented in the cause and effect Diagram (also known as Ishikawa, Tree Diagram, and fishbone Diagram). In this work a comparison of ISO22000 analysis with HACCP is carried out over pastry processing and packaging. However, the main emphasis was put on the quantification of risk assessment by determining the Risk Priority Number (RPN) per identified processing hazard. Storage of raw materials and storage of final products at -18°C followed by freezing were the processes identified as the ones with the highest RPN (225, 225, and 144 respectively) and corrective actions were undertaken. Following the application of corrective actions, a second calculation of RPN values was carried out leading to considerably lower values (below the upper acceptable limit of 130). It is noteworthy that the application of Ishikawa (Cause and Effect or Tree Diagram) led to converging results thus corroborating the validity of conclusions derived from risk assessment and FMEA. Therefore, the incorporation of FMEA analysis within the ISO22000 system of a pastry processing industry is considered imperative.
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application of failure mode and effect analysis fmea and cause and effect analysis in conjunction with iso22000 to an almond processing plant
XIV GREMPA Meeting on Pistachios and Almonds Athens Greece 30 March-4 April 2008., 2010Co-Authors: Theodoros H. Varzakas, George Zakynthinos, Ioannis S ArvanitoyannisAbstract:Failure Mode and Effect Analysis (FMEA) model has been applied for the risk assessment of almond manufacturing. A tentative approach of FMEA application to the almond industry was attempted in conjunction with ISO22000. Preliminary Hazard Analysis was used to analyse and predict the occurring failure modes in a food chain system (almond processing plant), based on the functions, characteristics and/or interactions of the processes, upon which the system depends. Critical Control Points have been identified and implemented in the cause and effect Diagrams. Moreover, comparison of ISO22000 analysis with HACCP is carried out over almond processing and packaging. The main emphasis was put on the quantification of risk assessment by determining the Risk Priority Number (RPN) per identified processing hazard. Pasteurisation, fumigation with propylene oxide, packaging, storage and distribution and hulling/shelling were the processes identified as t he ones with the highest RPN (240, 225, 180, 144, respectively) and corrective actions were undertaken. Following the application of corrective actions, a second calculation of RPN values was carried out leading to considerably lower values (below the upper acceptable limit of 130). It is noteworthy that the application of Ishikawa (Cause and Effect or Tree Diagram) led to converging results thus corroborating the validity of conclusions derived from risk assessment and FMEA. Therefore, the incorporation of FMEA analysis within the ISO22000 system of an almond processing plant is considered imperative.
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application of failure mode and effect analysis fmea and cause and effect analysis in conjunction with iso 22000 to a snails helix aspersa processing plant a case study
Critical Reviews in Food Science and Nutrition, 2009Co-Authors: Ioannis S Arvanitoyannis, Theodoros H. VarzakasAbstract:Failure Mode and Effect Analysis (FMEA) has been applied for the risk assessment of snails manufacturing. A tentative approach of FMEA application to the snails industry was attempted in conjunction with ISO 22000. Preliminary Hazard Analysis was used to analzse and predict the occurring failure modes in a food chain system (snails processing plant), based on the functions, characteristics, and/or interactions of the ingredients or the processes, upon which the system depends. Critical Control points have been identified and implemented in the cause and effect Diagram (also known as Ishikawa, Tree Diagram, and fishbone Diagram). In this work a comparison of ISO22000 analysis with HACCP is carried out over snails processing and packaging. However, the main emphasis was put on the quantification of risk assessment by determining the RPN per identified processing hazard. Sterilization of tins, bioaccumulation of heavy metals, packaging of shells and poisonous mushrooms, were the processes identified as the o...
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Application of failure mode and effect analysis (FMEA) and cause and effect analysis in conjunction with ISO 22000 to a snails (Helix aspersa) processing plant; A case study
Critical Reviews in Food Science and Nutrition, 2009Co-Authors: Ioannis S Arvanitoyannis, Theodoros H. VarzakasAbstract:Failure Mode and Effect Analysis (FMEA) has been applied for the risk assessment of snails manufacturing. A tentative approach of FMEA application to the snails industry was attempted in conjunction with ISO 22000. Preliminary Hazard Analysis was used to analyze and predict the occurring failure modes in a food chain system (snails processing plant), based on the functions, characteristics, and/or interactions of the ingredients or the processes, upon which the system depends. Critical Control points have been identified and implemented in the cause and effect Diagram (also known as Ishikawa, Tree Diagram, and fishbone Diagram). In this work a comparison of ISO22000 analysis with HACCP is carried out over snails processing and packaging. However, the main emphasis was put on the quantification of risk assessment by determining the RPN per identified processing hazard. Sterilization of tins, bioaccumulation of heavy metals, packaging of shells and poisonous mushrooms, were the processes identified as the ones with the highest RPN (280, 240, 147, 144, respectively) and corrective actions were undertaken. Following the application of corrective actions, a second calculation of RPN values was carried out leading to considerably lower values (below the upper acceptable limit of 130). It is noteworthy that the application of Ishikawa (Cause and Effect or Tree Diagram) led to converging results thus corroborating the validity of conclusions derived from risk assessment and FMEA. Therefore, the incorporation of FMEA analysis within the ISO22000 system of a snails processing industry is considered imperative.
Ioannis S Arvanitoyannis - One of the best experts on this subject based on the ideXlab platform.
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application of failure mode and effect analysis fmea and cause and effect analysis in conjunction with iso22000 to an almond processing plant
XIV GREMPA Meeting on Pistachios and Almonds Athens Greece 30 March-4 April 2008., 2010Co-Authors: Theodoros H. Varzakas, George Zakynthinos, Ioannis S ArvanitoyannisAbstract:Failure Mode and Effect Analysis (FMEA) model has been applied for the risk assessment of almond manufacturing. A tentative approach of FMEA application to the almond industry was attempted in conjunction with ISO22000. Preliminary Hazard Analysis was used to analyse and predict the occurring failure modes in a food chain system (almond processing plant), based on the functions, characteristics and/or interactions of the processes, upon which the system depends. Critical Control Points have been identified and implemented in the cause and effect Diagrams. Moreover, comparison of ISO22000 analysis with HACCP is carried out over almond processing and packaging. The main emphasis was put on the quantification of risk assessment by determining the Risk Priority Number (RPN) per identified processing hazard. Pasteurisation, fumigation with propylene oxide, packaging, storage and distribution and hulling/shelling were the processes identified as t he ones with the highest RPN (240, 225, 180, 144, respectively) and corrective actions were undertaken. Following the application of corrective actions, a second calculation of RPN values was carried out leading to considerably lower values (below the upper acceptable limit of 130). It is noteworthy that the application of Ishikawa (Cause and Effect or Tree Diagram) led to converging results thus corroborating the validity of conclusions derived from risk assessment and FMEA. Therefore, the incorporation of FMEA analysis within the ISO22000 system of an almond processing plant is considered imperative.
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application of failure mode and effect analysis fmea and cause and effect analysis in conjunction with iso 22000 to a snails helix aspersa processing plant a case study
Critical Reviews in Food Science and Nutrition, 2009Co-Authors: Ioannis S Arvanitoyannis, Theodoros H. VarzakasAbstract:Failure Mode and Effect Analysis (FMEA) has been applied for the risk assessment of snails manufacturing. A tentative approach of FMEA application to the snails industry was attempted in conjunction with ISO 22000. Preliminary Hazard Analysis was used to analzse and predict the occurring failure modes in a food chain system (snails processing plant), based on the functions, characteristics, and/or interactions of the ingredients or the processes, upon which the system depends. Critical Control points have been identified and implemented in the cause and effect Diagram (also known as Ishikawa, Tree Diagram, and fishbone Diagram). In this work a comparison of ISO22000 analysis with HACCP is carried out over snails processing and packaging. However, the main emphasis was put on the quantification of risk assessment by determining the RPN per identified processing hazard. Sterilization of tins, bioaccumulation of heavy metals, packaging of shells and poisonous mushrooms, were the processes identified as the o...
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Application of failure mode and effect analysis (FMEA) and cause and effect analysis in conjunction with ISO 22000 to a snails (Helix aspersa) processing plant; A case study
Critical Reviews in Food Science and Nutrition, 2009Co-Authors: Ioannis S Arvanitoyannis, Theodoros H. VarzakasAbstract:Failure Mode and Effect Analysis (FMEA) has been applied for the risk assessment of snails manufacturing. A tentative approach of FMEA application to the snails industry was attempted in conjunction with ISO 22000. Preliminary Hazard Analysis was used to analyze and predict the occurring failure modes in a food chain system (snails processing plant), based on the functions, characteristics, and/or interactions of the ingredients or the processes, upon which the system depends. Critical Control points have been identified and implemented in the cause and effect Diagram (also known as Ishikawa, Tree Diagram, and fishbone Diagram). In this work a comparison of ISO22000 analysis with HACCP is carried out over snails processing and packaging. However, the main emphasis was put on the quantification of risk assessment by determining the RPN per identified processing hazard. Sterilization of tins, bioaccumulation of heavy metals, packaging of shells and poisonous mushrooms, were the processes identified as the ones with the highest RPN (280, 240, 147, 144, respectively) and corrective actions were undertaken. Following the application of corrective actions, a second calculation of RPN values was carried out leading to considerably lower values (below the upper acceptable limit of 130). It is noteworthy that the application of Ishikawa (Cause and Effect or Tree Diagram) led to converging results thus corroborating the validity of conclusions derived from risk assessment and FMEA. Therefore, the incorporation of FMEA analysis within the ISO22000 system of a snails processing industry is considered imperative.
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application of failure mode and effect analysis fmea and cause and effect analysis for industrial processing of common octopus octopus vulgaris part ii
International Journal of Food Science and Technology, 2009Co-Authors: Ioannis S Arvanitoyannis, Theodoros H. VarzakasAbstract:Summary Failure mode and effect analysis (FMEA) model was applied in conjunction with cause-and-effect analysis for the risk assessment of octopus processing (Octopus vulgaris). Critical control points were identified and implemented in the cause-and-effect Diagram (also known as Ishikawa, Tree Diagram and fishbone Diagram). The main emphasis was put on the quantification of risk assessment by determining the risk priority numbers (RPN) per identified processing hazard. Chemically contaminated product, decomposed raw materials, scombrotoxin presence in the final product, incorrectly labelled product, storage in cans (foreign matter) and defective products, were identified as those with the highest RPN (378, 294, 280, 252, 245 and 144 respectively) and corrective actions were undertaken. Following the application of corrective actions, a second calculation of RPN values was carried out, leading to considerably lower values (below the upper acceptable limit of 130). It is concluded that the incorporation of FMEA analysis within the ISO2200 system of an octopus-processing industry is imperative.
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application of iso22000 and failure mode and effect analysis fmea for industrial processing of poultry products
International Conference on Computer and Computing Technologies in Agriculture, 2008Co-Authors: Theodoros H. Varzakas, Ioannis S ArvanitoyannisAbstract:Failure Mode and Effect Analysis (FMEA) model has been applied for the risk assessment of poultry slaughtering and manufacturing. In this work comparison of ISO22000 analysis with HACCP is carried out over poultry slaughtering, processing and packaging. Critical Control points and Prerequisite programs (PrPs) have been identified and implemented in the cause and effect Diagram (also known as Ishikawa, Tree Diagram and fishbone Diagram).
Wei Han - One of the best experts on this subject based on the ideXlab platform.
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analysis of 2 28 keeper chemical industries hazardous chemical explosion accident based on fta and hfacs
International Journal of Environmental Research and Public Health, 2018Co-Authors: Wei Jiang, Wei HanAbstract:On 28 February 2012, a guanidine nitrate explosion occurred at HEBEI KEEPER Chemical Industries Co., Ltd., China, resulting in 25 deaths, with 4 missing individuals and 46 injured. In order to explore the causal relationship hidden behind this accident, fault Tree analysis (FTA) and the Human Factors Analysis and Classification System (HFACS) were used to systematically analyze the incident. Firstly, FTA was used to analyze the causes of the accident in depth, until all the basic causal events causing the guanidine nitrate explosion were identified, and a fault Tree Diagram of the guanidine nitrate explosion was drawn. Secondly, for the unsafe acts in the basic causal events, the HFACS model was used to analyze the three levels of factors that lead to unsafe acts, including the preconditions for unsafe acts, unsafe supervision, and organizational influences. Finally, based on the analysis results of FTA and HFACS, a complete logic Diagram of the causes of the accident was obtained. The FTA and HFACS accident analysis methods allowed for the identification of human factors and the accident evolution process in the explosion accident and provide a reference for accident investigation.
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Analysis of “2·28” KEEPER Chemical Industries Hazardous Chemical Explosion Accident Based on FTA and HFACS
MDPI AG, 2018Co-Authors: Wei Jiang, Wei HanAbstract:On 28 February 2012, a guanidine nitrate explosion occurred at HEBEI KEEPER Chemical Industries Co., Ltd., China, resulting in 25 deaths, with 4 missing individuals and 46 injured. In order to explore the causal relationship hidden behind this accident, fault Tree analysis (FTA) and the Human Factors Analysis and Classification System (HFACS) were used to systematically analyze the incident. Firstly, FTA was used to analyze the causes of the accident in depth, until all the basic causal events causing the guanidine nitrate explosion were identified, and a fault Tree Diagram of the guanidine nitrate explosion was drawn. Secondly, for the unsafe acts in the basic causal events, the HFACS model was used to analyze the three levels of factors that lead to unsafe acts, including the preconditions for unsafe acts, unsafe supervision, and organizational influences. Finally, based on the analysis results of FTA and HFACS, a complete logic Diagram of the causes of the accident was obtained. The FTA and HFACS accident analysis methods allowed for the identification of human factors and the accident evolution process in the explosion accident and provide a reference for accident investigation
L M Bartlett - One of the best experts on this subject based on the ideXlab platform.
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choosing a heuristic for the fault Tree to binary decision Diagram conversion using neural networks
IEEE Transactions on Reliability, 2002Co-Authors: L M BartlettAbstract:Fault-Tree analysis is commonly used for risk assessment of industrial systems. Several computer packages are available to carry out the analysis. Despite its common usage there are associated limitations of the technique in terms of accuracy and efficiency when dealing with large fault-Tree structures. The most recent approach to aid the analysis of the fault-Tree Diagram is the BDD (binary decision Diagram). To use the BDD, the fault-Tree structure needs to be converted into the BDD format. Converting the fault Tree is relatively straightforward but requires that the basic events of the Tree be ordered. This ordering is critical to the resulting size of the BDD, and ultimately affects the qualitative and quantitative performance and benefits of this technique. Several heuristic approaches were developed to produce an optimal ordering permutation for a specific Tree. These heuristic approaches do not always yield a minimal BDD structure for all Trees. There is no single heuristic that guarantees a minimal BDD for any fault-Tree structure. This paper looks at a selection approach using a neural network to choose the best heuristic from a set of alternatives that will yield the smallest BDD and promote an efficient analysis. The set of possible selection choices are 6 alternative heuristics, and the prediction capacity produced was a 70% chance of the neural network choosing the best ordering heuristic from the set of 6 for the test set of given fault Trees.
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an ordering heuristic to develop the binary decision Diagram based on structural importance
Reliability Engineering & System Safety, 2001Co-Authors: L M BartlettAbstract:Abstract Fault Tree analysis is often used to assess risks within industrial systems. The technique is commonly used although there are associated limitations in terms of accuracy and efficiency when dealing with large fault Tree structures. The most recent approach to aid the analysis of the fault Tree Diagram is the Binary Decision Diagram (BDD) methodology. To utilise the technique the fault Tree structure needs to be converted into the BDD format. Converting the fault Tree requires the basic events of the Tree to be placed in an ordering. The ordering of the basic events is critical to the resulting size of the BDD, and ultimately affects the performance and benefits of this technique. A number of heuristic approaches have been developed to produce an optimal ordering permutation for a specific Tree. These heuristic approaches do not always yield a minimal BDD structure for all Trees. This paper looks at a heuristic that is based on the structural importance measure of each basic event. Comparing the resulting size of the BDD with the smallest generated from a set of six alternative ordering heuristics, this new structural heuristic produced a BDD of smaller or equal dimension on 77% of trials.
Wei Jiang - One of the best experts on this subject based on the ideXlab platform.
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analysis of 2 28 keeper chemical industries hazardous chemical explosion accident based on fta and hfacs
International Journal of Environmental Research and Public Health, 2018Co-Authors: Wei Jiang, Wei HanAbstract:On 28 February 2012, a guanidine nitrate explosion occurred at HEBEI KEEPER Chemical Industries Co., Ltd., China, resulting in 25 deaths, with 4 missing individuals and 46 injured. In order to explore the causal relationship hidden behind this accident, fault Tree analysis (FTA) and the Human Factors Analysis and Classification System (HFACS) were used to systematically analyze the incident. Firstly, FTA was used to analyze the causes of the accident in depth, until all the basic causal events causing the guanidine nitrate explosion were identified, and a fault Tree Diagram of the guanidine nitrate explosion was drawn. Secondly, for the unsafe acts in the basic causal events, the HFACS model was used to analyze the three levels of factors that lead to unsafe acts, including the preconditions for unsafe acts, unsafe supervision, and organizational influences. Finally, based on the analysis results of FTA and HFACS, a complete logic Diagram of the causes of the accident was obtained. The FTA and HFACS accident analysis methods allowed for the identification of human factors and the accident evolution process in the explosion accident and provide a reference for accident investigation.
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Analysis of “2·28” KEEPER Chemical Industries Hazardous Chemical Explosion Accident Based on FTA and HFACS
MDPI AG, 2018Co-Authors: Wei Jiang, Wei HanAbstract:On 28 February 2012, a guanidine nitrate explosion occurred at HEBEI KEEPER Chemical Industries Co., Ltd., China, resulting in 25 deaths, with 4 missing individuals and 46 injured. In order to explore the causal relationship hidden behind this accident, fault Tree analysis (FTA) and the Human Factors Analysis and Classification System (HFACS) were used to systematically analyze the incident. Firstly, FTA was used to analyze the causes of the accident in depth, until all the basic causal events causing the guanidine nitrate explosion were identified, and a fault Tree Diagram of the guanidine nitrate explosion was drawn. Secondly, for the unsafe acts in the basic causal events, the HFACS model was used to analyze the three levels of factors that lead to unsafe acts, including the preconditions for unsafe acts, unsafe supervision, and organizational influences. Finally, based on the analysis results of FTA and HFACS, a complete logic Diagram of the causes of the accident was obtained. The FTA and HFACS accident analysis methods allowed for the identification of human factors and the accident evolution process in the explosion accident and provide a reference for accident investigation
