The Experts below are selected from a list of 69 Experts worldwide ranked by ideXlab platform
Andreas Lindner - One of the best experts on this subject based on the ideXlab platform.
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A conceptual Data management model of a feedback assistance system to support Product improvement
2011 IEEE International Conference on Systems Man and Cybernetics, 2011Co-Authors: Madjid Fathi, Michael Abramovici, Andreas LindnerAbstract:This paper describes a unifying Data management concept for feedback assistance systems. The assistance system is to be integrated into existing system scenery. During the use of a hydraulic system, objective feedback such as sensor Data or service Data is captured and managed in local Databases by the machine operators. The aim is to lead such Product Use Information (PUI) back into Product development. That way, the Product developer uses the information to derive additional and innovative potential to improve next generation Products. The information flow is related in various systems i.e. the operator of the machine and the manufacturer. Furthermore, the PUI is managed inside the assistance system based on a Data warehouse. The Data warehouse is coupled with a Product Lifecycle Management (PLM) system, a well-known system to Product developers. Within the PLM system, Product Master Data is created and managed. This also serves as the basis for the assistance system, so that the Data models for both systems have to be amalgamated.
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SMC - A conceptual Data management model of a feedback assistance system to support Product improvement
2011 IEEE International Conference on Systems Man and Cybernetics, 2011Co-Authors: Susanne Dienst, Madjid Fathi, Michael Abramovici, Andreas LindnerAbstract:This paper describes a unifying Data management concept for feedback assistance systems. The assistance system is to be integrated into existing system scenery. During the use of a hydraulic system, objective feedback such as sensor Data or service Data is captured and managed in local Databases by the machine operators. The aim is to lead such Product Use Information (PUI) back into Product development. That way, the Product developer uses the information to derive additional and innovative potential to improve next generation Products. The information flow is related in various systems i.e. the operator of the machine and the manufacturer. Furthermore, the PUI is managed inside the assistance system based on a Data warehouse. The Data warehouse is coupled with a Product Lifecycle Management (PLM) system, a well-known system to Product developers. Within the PLM system, Product Master Data is created and managed. This also serves as the basis for the assistance system, so that the Data models for both systems have to be amalgamated.
Susanne Dienst - One of the best experts on this subject based on the ideXlab platform.
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SMC - A conceptual Data management model of a feedback assistance system to support Product improvement
2011 IEEE International Conference on Systems Man and Cybernetics, 2011Co-Authors: Susanne Dienst, Madjid Fathi, Michael Abramovici, Andreas LindnerAbstract:This paper describes a unifying Data management concept for feedback assistance systems. The assistance system is to be integrated into existing system scenery. During the use of a hydraulic system, objective feedback such as sensor Data or service Data is captured and managed in local Databases by the machine operators. The aim is to lead such Product Use Information (PUI) back into Product development. That way, the Product developer uses the information to derive additional and innovative potential to improve next generation Products. The information flow is related in various systems i.e. the operator of the machine and the manufacturer. Furthermore, the PUI is managed inside the assistance system based on a Data warehouse. The Data warehouse is coupled with a Product Lifecycle Management (PLM) system, a well-known system to Product developers. Within the PLM system, Product Master Data is created and managed. This also serves as the basis for the assistance system, so that the Data models for both systems have to be amalgamated.
Elgar Fleisch - One of the best experts on this subject based on the ideXlab platform.
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Detecting incorrect Product names in online sources for Product Master Data
Electronic Markets, 2013Co-Authors: Stephan Karpischek, Florian Michahelles, Elgar FleischAbstract:The global trade item number (GTIN) is traditionally used to identify trade items and look up corresponding information within industrial supply chains. Recently, consumers have also started using GTINs to access additional Product information with mobile barcode scanning applications. Providers of these applications use different sources to provide Product names for scanned GTINs. In this paper we analyze Data from eight publicly available sources for a set of GTINs scanned by users of a mobile barcode scanning application. Our aim is to measure the correctness of Product names in online sources and to quantify the problem of Product Data quality. We use a combination of string matching and supervised learning to estimate the number of incorrect Product names. Our results show that approximately 2 % of all Product names are incorrect. The applied method is useful for brand owners to monitor the Data quality for their Products and enables efficient Data integration for application providers.
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the not so unique global trade identification number Product Master Data quality in publicly available sources extended abstract
International Conference on Electronic Commerce, 2012Co-Authors: Stephan Karpischek, Florian Michahelles, Elgar FleischAbstract:This paper provides an extended abstract. The full paper is currently under review for Electronic Markets journal.
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ICEC - The not so unique global trade identification number: Product Master Data quality in publicly available sources (extended abstract)
Proceedings of the 14th Annual International Conference on Electronic Commerce - ICEC '12, 2012Co-Authors: Stephan Karpischek, Florian Michahelles, Elgar FleischAbstract:This paper provides an extended abstract. The full paper is currently under review for Electronic Markets journal.
Madjid Fathi - One of the best experts on this subject based on the ideXlab platform.
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A conceptual Data management model of a feedback assistance system to support Product improvement
2011 IEEE International Conference on Systems Man and Cybernetics, 2011Co-Authors: Madjid Fathi, Michael Abramovici, Andreas LindnerAbstract:This paper describes a unifying Data management concept for feedback assistance systems. The assistance system is to be integrated into existing system scenery. During the use of a hydraulic system, objective feedback such as sensor Data or service Data is captured and managed in local Databases by the machine operators. The aim is to lead such Product Use Information (PUI) back into Product development. That way, the Product developer uses the information to derive additional and innovative potential to improve next generation Products. The information flow is related in various systems i.e. the operator of the machine and the manufacturer. Furthermore, the PUI is managed inside the assistance system based on a Data warehouse. The Data warehouse is coupled with a Product Lifecycle Management (PLM) system, a well-known system to Product developers. Within the PLM system, Product Master Data is created and managed. This also serves as the basis for the assistance system, so that the Data models for both systems have to be amalgamated.
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SMC - A conceptual Data management model of a feedback assistance system to support Product improvement
2011 IEEE International Conference on Systems Man and Cybernetics, 2011Co-Authors: Susanne Dienst, Madjid Fathi, Michael Abramovici, Andreas LindnerAbstract:This paper describes a unifying Data management concept for feedback assistance systems. The assistance system is to be integrated into existing system scenery. During the use of a hydraulic system, objective feedback such as sensor Data or service Data is captured and managed in local Databases by the machine operators. The aim is to lead such Product Use Information (PUI) back into Product development. That way, the Product developer uses the information to derive additional and innovative potential to improve next generation Products. The information flow is related in various systems i.e. the operator of the machine and the manufacturer. Furthermore, the PUI is managed inside the assistance system based on a Data warehouse. The Data warehouse is coupled with a Product Lifecycle Management (PLM) system, a well-known system to Product developers. Within the PLM system, Product Master Data is created and managed. This also serves as the basis for the assistance system, so that the Data models for both systems have to be amalgamated.
Michael Abramovici - One of the best experts on this subject based on the ideXlab platform.
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A conceptual Data management model of a feedback assistance system to support Product improvement
2011 IEEE International Conference on Systems Man and Cybernetics, 2011Co-Authors: Madjid Fathi, Michael Abramovici, Andreas LindnerAbstract:This paper describes a unifying Data management concept for feedback assistance systems. The assistance system is to be integrated into existing system scenery. During the use of a hydraulic system, objective feedback such as sensor Data or service Data is captured and managed in local Databases by the machine operators. The aim is to lead such Product Use Information (PUI) back into Product development. That way, the Product developer uses the information to derive additional and innovative potential to improve next generation Products. The information flow is related in various systems i.e. the operator of the machine and the manufacturer. Furthermore, the PUI is managed inside the assistance system based on a Data warehouse. The Data warehouse is coupled with a Product Lifecycle Management (PLM) system, a well-known system to Product developers. Within the PLM system, Product Master Data is created and managed. This also serves as the basis for the assistance system, so that the Data models for both systems have to be amalgamated.
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SMC - A conceptual Data management model of a feedback assistance system to support Product improvement
2011 IEEE International Conference on Systems Man and Cybernetics, 2011Co-Authors: Susanne Dienst, Madjid Fathi, Michael Abramovici, Andreas LindnerAbstract:This paper describes a unifying Data management concept for feedback assistance systems. The assistance system is to be integrated into existing system scenery. During the use of a hydraulic system, objective feedback such as sensor Data or service Data is captured and managed in local Databases by the machine operators. The aim is to lead such Product Use Information (PUI) back into Product development. That way, the Product developer uses the information to derive additional and innovative potential to improve next generation Products. The information flow is related in various systems i.e. the operator of the machine and the manufacturer. Furthermore, the PUI is managed inside the assistance system based on a Data warehouse. The Data warehouse is coupled with a Product Lifecycle Management (PLM) system, a well-known system to Product developers. Within the PLM system, Product Master Data is created and managed. This also serves as the basis for the assistance system, so that the Data models for both systems have to be amalgamated.