The Experts below are selected from a list of 321 Experts worldwide ranked by ideXlab platform
Forrest Shull - One of the best experts on this subject based on the ideXlab platform.
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ESEM - Tool supported detection and judgment of Nonconformance in process execution
2009 3rd International Symposium on Empirical Software Engineering and Measurement, 2009Co-Authors: Nico Zazworka, Victor R. Basili, Forrest ShullAbstract:In the past decades the Software Engineering community has proposed a large collection of software development life cycles, models, and processes. The goal of a major set of these processes is to assure that the product is finished within time and budget, and that a predefined set of functional and non functional requirements (e.g. quality goals) are satisfied at delivery time. Based upon the assumption that there is a real relationship between the process applied and the characteristics of the product developed from that process, we developed a tool-supported approach that uses process Nonconformance detection to identify potential risks in achieving the required process characteristics. In this paper we present the approach and a feasibility study that demonstrates its use on a large-scale software development project in the aerospace domain. We demonstrate that our approach, in addition to meeting the criteria above, can be applied to a real system of reasonable size; can represent a useful and adequate set of rules of relevance in such an environment; and can detect relevant examples of process Nonconformance that provide useful insight to the project manager.
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Tool supported detection and judgment of Nonconformance in process execution
2009 3rd International Symposium on Empirical Software Engineering and Measurement, 2009Co-Authors: Nico Zazworka, Victor R. Basili, Forrest ShullAbstract:In the past decades the software engineering community has proposed a large collection of software development life cycles, models, and processes. The goal of a major set of these processes is to assure that the product is finished within time and budget, and that a predefined set of functional and nonfunctional requirements (e.g. quality goals) are satisfied at delivery time. Based upon the assumption that there is a real relationship between the process applied and the characteristics of the product developed from that process, we developed a tool supported approach that uses process Nonconformance detection to identify potential risks in achieving the required process characteristics. In this paper we present the approach and a feasibility study that demonstrates its use on a large-scale software development project in the aerospace domain. We demonstrate that our approach, in addition to meeting the criteria above, can be applied to a real system of reasonable size; can represent a useful and adequate set of rules of relevance in such an environment; and can detect relevant examples of process Nonconformance that provide useful insight to the project manager.
Fabbio Gonzalez Correia Gomes - One of the best experts on this subject based on the ideXlab platform.
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CASE - A distributed system for rapid determination of Nonconformance causes and solutions for the thermoplastic injection molding process: A Case-Based Reasoning Agents approach
2011 IEEE International Conference on Automation Science and Engineering, 2011Co-Authors: Walter L Mikos, Joao Carlos Espindola Ferreira, Fabbio Gonzalez Correia GomesAbstract:When executing a manufacturing process, under some circumstances Nonconformances may occur in the part, which result in problems such as worker stress, line stoppage, delay in product shipping, and customer loss. In order to reduce or eliminate the above problems, when a Nonconformance is identified, it is very important that the possible causes are determined and their solutions put into practice and as soon as possible. In this context, an aspect that should be considered is that in most manufacturing processes the problems to be solved tend to be recurrent, repeating with small variations in relation to its original version, and in this way previous solutions can also be reapplied with small modifications. In this context, this paper presents the implementation of an architecture that combines the Case-Based Reasoning and Multi-Agent approaches in a distributed environment for rapid Nonconformance problem solving. The process considered in this work is thermoplastic injection molding, in which the Nonconformances occur due to the complex interrelation among the constructive elements of the molded part, the mold, the rheological characteristics of the resin, and the processing conditions, which frequently cause the task of discovering the source of the Nonconformance and its respective solution to become slow and costly. A special emphasis in this paper is given to describing the procedure for calculating the similarity measures in the CBR methodology. The developed prototype was based on the Java Agent DEvelopment framework (JADE), having the JColibri CBR framework as core engine.
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A distributed system for rapid determination of Nonconformance causes and solutions for the thermoplastic injection molding process: A Case-Based Reasoning Agents approach
2011 IEEE International Conference on Automation Science and Engineering, 2011Co-Authors: Walter L Mikos, Joao Carlos Espindola Ferreira, Fabbio Gonzalez Correia GomesAbstract:When executing a manufacturing process, under some circumstances Nonconformances may occur in the part, which result in problems such as worker stress, line stoppage, delay in product shipping, and customer loss. In order to reduce or eliminate the above problems, when a Nonconformance is identified, it is very important that the possible causes are determined and their solutions put into practice and as soon as possible. In this context, an aspect that should be considered is that in most manufacturing processes the problems to be solved tend to be recurrent, repeating with small variations in relation to its original version, and in this way previous solutions can also be reapplied with small modifications. In this context, this paper presents the implementation of an architecture that combines the Case-Based Reasoning and Multi-Agent approaches in a distributed environment for rapid Nonconformance problem solving. The process considered in this work is thermoplastic injection molding, in which the Nonconformances occur due to the complex interrelation among the constructive elements of the molded part, the mold, the rheological characteristics of the resin, and the processing conditions, which frequently cause the task of discovering the source of the Nonconformance and its respective solution to become slow and costly. A special emphasis in this paper is given to describing the procedure for calculating the similarity measures in the CBR methodology. The developed prototype was based on the Java Agent DEvelopment framework (JADE), having the JColibri CBR framework as core engine.
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a combined multi agent and case based reasoning approach to support collaborative Nonconformance problem solving in the thermoplastic injection moulding process
International Journal of Computer Integrated Manufacturing, 2010Co-Authors: Walter L Mikos, Joao Carlos Espindola Ferreira, Fabbio Gonzalez Correia Gomes, Roman Moura LorenzoAbstract:Injection moulding is one of the most versatile technologies for processing thermoplastic materials used nowadays in industry. Despite all the technological resources used, the probability of occurring Nonconformances in the production stage cannot be completely eliminated, and in general these Nonconformances occur owing to the complex interrelation among the constructive elements of the moulded part, the mould, the rheological characteristics of the resin, and the processing conditions. These factors lead to a difficult analytical modelling, and frequently cause the task of discovering the source of Nonconformance and its solution to become slow and costly. Owing to this scenario, this paper presents an agent-based architecture that includes case-based reasoning agents to support Nonconformance problem solving. This paper presents the set of descriptors that represent the Nonconformance features, as well as the implementation of a prototype based on the Java Agent DEvelopment Framework (JADE Platform) and the jCOLIBRI CBR Framework as core engine. The results show that the developed system supports adequately the collaborative Nonconformance problem solving in injection moulding, since it quickly provides, through a friendly interface, the following information: (a) knowledge inference, retrieval and presentation; (b) the suggested solutions for the Nonconformance; (c) the result of carrying out the solution.
Walter L Mikos - One of the best experts on this subject based on the ideXlab platform.
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CASE - A distributed system for rapid determination of Nonconformance causes and solutions for the thermoplastic injection molding process: A Case-Based Reasoning Agents approach
2011 IEEE International Conference on Automation Science and Engineering, 2011Co-Authors: Walter L Mikos, Joao Carlos Espindola Ferreira, Fabbio Gonzalez Correia GomesAbstract:When executing a manufacturing process, under some circumstances Nonconformances may occur in the part, which result in problems such as worker stress, line stoppage, delay in product shipping, and customer loss. In order to reduce or eliminate the above problems, when a Nonconformance is identified, it is very important that the possible causes are determined and their solutions put into practice and as soon as possible. In this context, an aspect that should be considered is that in most manufacturing processes the problems to be solved tend to be recurrent, repeating with small variations in relation to its original version, and in this way previous solutions can also be reapplied with small modifications. In this context, this paper presents the implementation of an architecture that combines the Case-Based Reasoning and Multi-Agent approaches in a distributed environment for rapid Nonconformance problem solving. The process considered in this work is thermoplastic injection molding, in which the Nonconformances occur due to the complex interrelation among the constructive elements of the molded part, the mold, the rheological characteristics of the resin, and the processing conditions, which frequently cause the task of discovering the source of the Nonconformance and its respective solution to become slow and costly. A special emphasis in this paper is given to describing the procedure for calculating the similarity measures in the CBR methodology. The developed prototype was based on the Java Agent DEvelopment framework (JADE), having the JColibri CBR framework as core engine.
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A distributed system for rapid determination of Nonconformance causes and solutions for the thermoplastic injection molding process: A Case-Based Reasoning Agents approach
2011 IEEE International Conference on Automation Science and Engineering, 2011Co-Authors: Walter L Mikos, Joao Carlos Espindola Ferreira, Fabbio Gonzalez Correia GomesAbstract:When executing a manufacturing process, under some circumstances Nonconformances may occur in the part, which result in problems such as worker stress, line stoppage, delay in product shipping, and customer loss. In order to reduce or eliminate the above problems, when a Nonconformance is identified, it is very important that the possible causes are determined and their solutions put into practice and as soon as possible. In this context, an aspect that should be considered is that in most manufacturing processes the problems to be solved tend to be recurrent, repeating with small variations in relation to its original version, and in this way previous solutions can also be reapplied with small modifications. In this context, this paper presents the implementation of an architecture that combines the Case-Based Reasoning and Multi-Agent approaches in a distributed environment for rapid Nonconformance problem solving. The process considered in this work is thermoplastic injection molding, in which the Nonconformances occur due to the complex interrelation among the constructive elements of the molded part, the mold, the rheological characteristics of the resin, and the processing conditions, which frequently cause the task of discovering the source of the Nonconformance and its respective solution to become slow and costly. A special emphasis in this paper is given to describing the procedure for calculating the similarity measures in the CBR methodology. The developed prototype was based on the Java Agent DEvelopment framework (JADE), having the JColibri CBR framework as core engine.
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a combined multi agent and case based reasoning approach to support collaborative Nonconformance problem solving in the thermoplastic injection moulding process
International Journal of Computer Integrated Manufacturing, 2010Co-Authors: Walter L Mikos, Joao Carlos Espindola Ferreira, Fabbio Gonzalez Correia Gomes, Roman Moura LorenzoAbstract:Injection moulding is one of the most versatile technologies for processing thermoplastic materials used nowadays in industry. Despite all the technological resources used, the probability of occurring Nonconformances in the production stage cannot be completely eliminated, and in general these Nonconformances occur owing to the complex interrelation among the constructive elements of the moulded part, the mould, the rheological characteristics of the resin, and the processing conditions. These factors lead to a difficult analytical modelling, and frequently cause the task of discovering the source of Nonconformance and its solution to become slow and costly. Owing to this scenario, this paper presents an agent-based architecture that includes case-based reasoning agents to support Nonconformance problem solving. This paper presents the set of descriptors that represent the Nonconformance features, as well as the implementation of a prototype based on the Java Agent DEvelopment Framework (JADE Platform) and the jCOLIBRI CBR Framework as core engine. The results show that the developed system supports adequately the collaborative Nonconformance problem solving in injection moulding, since it quickly provides, through a friendly interface, the following information: (a) knowledge inference, retrieval and presentation; (b) the suggested solutions for the Nonconformance; (c) the result of carrying out the solution.
Nico Zazworka - One of the best experts on this subject based on the ideXlab platform.
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ESEM - Tool supported detection and judgment of Nonconformance in process execution
2009 3rd International Symposium on Empirical Software Engineering and Measurement, 2009Co-Authors: Nico Zazworka, Victor R. Basili, Forrest ShullAbstract:In the past decades the Software Engineering community has proposed a large collection of software development life cycles, models, and processes. The goal of a major set of these processes is to assure that the product is finished within time and budget, and that a predefined set of functional and non functional requirements (e.g. quality goals) are satisfied at delivery time. Based upon the assumption that there is a real relationship between the process applied and the characteristics of the product developed from that process, we developed a tool-supported approach that uses process Nonconformance detection to identify potential risks in achieving the required process characteristics. In this paper we present the approach and a feasibility study that demonstrates its use on a large-scale software development project in the aerospace domain. We demonstrate that our approach, in addition to meeting the criteria above, can be applied to a real system of reasonable size; can represent a useful and adequate set of rules of relevance in such an environment; and can detect relevant examples of process Nonconformance that provide useful insight to the project manager.
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Tool supported detection and judgment of Nonconformance in process execution
2009 3rd International Symposium on Empirical Software Engineering and Measurement, 2009Co-Authors: Nico Zazworka, Victor R. Basili, Forrest ShullAbstract:In the past decades the software engineering community has proposed a large collection of software development life cycles, models, and processes. The goal of a major set of these processes is to assure that the product is finished within time and budget, and that a predefined set of functional and nonfunctional requirements (e.g. quality goals) are satisfied at delivery time. Based upon the assumption that there is a real relationship between the process applied and the characteristics of the product developed from that process, we developed a tool supported approach that uses process Nonconformance detection to identify potential risks in achieving the required process characteristics. In this paper we present the approach and a feasibility study that demonstrates its use on a large-scale software development project in the aerospace domain. We demonstrate that our approach, in addition to meeting the criteria above, can be applied to a real system of reasonable size; can represent a useful and adequate set of rules of relevance in such an environment; and can detect relevant examples of process Nonconformance that provide useful insight to the project manager.
Geoff Jones - One of the best experts on this subject based on the ideXlab platform.
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Fractional Nonconformance based conformity testing
Computers & Industrial Engineering, 2019Co-Authors: Xin Zhou, Kondaswamy Govindaraju, Geoff JonesAbstract:Abstract Conformity testing, also known as evaluation of conformity or compliance testing, is exercised to assure that an entity meets a specific requirement and/or regulatory standard. Measurement and sampling uncertainties, including metrological traceability, become crucial for the declaration of conformity, especially when the measured value is close to the set limiting value. The fractional Nonconformance (FNC) approach was recently introduced to deal with measurement errors for acceptance sampling purposes. This approach can be extended to develop new conformity evaluation protocols. In this study, we develop a new fractional Nonconformance based conformity testing procedure, and compare its performance with the conformity testing procedure prescribed in the ISO Standard 10576. The proposed procedure explicitly distinguishes the limiting value from a specification by linking the false alarm rate and the limiting value using a baseline distribution. Our research shows that the two-stage conformity testing procedure using the fractional Nonconformance statistic reduces the probability of incorrect declaration of conformity or inconclusive result for nonconforming entities when the number of test samples is larger than one. This means that the new FNC based conformity testing is more powerful than the current procedure set by the ISO standard.
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Monitoring fractional Nonconformance for short-run production
Quality Engineering, 2017Co-Authors: Xin Zhou, Kondaswamy Govindaraju, Geoff JonesAbstract:Quality characteristics observed in industrial processes are not always free from measurement errors. The term fractional Nonconformance refers to the probability of an error-prone observation brea...
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Monitoring fractional Nonconformance for short-run production
2017Co-Authors: Xin Zhou, Kondaswamy Govindaraju, Geoff JonesAbstract:Quality characteristics observed in industrial processes are not always free from measurement errors. The term fractional Nonconformance refers to the probability of an error-prone observation breaching the specification limits. Four new control statistics based on the fractional Nonconformance concept are defined for process monitoring purposes. This work, motivated by milk products manufacturing, is tailored for short-run productions in which only individual measurements are accumulated over time. The performance of the newly defined control statistics is evaluated using simulation for both independent and autocorrelated processes. The results show that fractional Nonconformance charts can be useful to monitor short-run production process, and the choice of the monitoring scheme does not heavily depend on the distribution of the quality characteristics.