Process Enhancement is the key to achieve production targets and to improve product quality. Statistical Process Control (SPC) and Automatic Process Control (APC) are considered as two sets of toolkits for enhancement. Major focus of SPC is on process monitoring, while that of APC is on process adjustment. Both SPC and APC were initially thought to be in conflict with each other, and their integrated use was totally out of question, until their advocates realized the fact about the techniques applied by them being complementary rather than contradictory. In this thesis, we will present different enhancement schemes which are based on dual application of SPC and APC techniques. Starting by conducting literature survey and covering technical background on our topic, moving to effective initial setting of the process parameters, passing by proper selection of control parameters, then proceeding towards process monitoring and assessment schemes, all of that will be our work path. All previous topics will be the building blocks for a fuzzy integrated SPC/APC scheme that obtains enhanced level of: process quality, performance, and robustness.
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Process Enhancement is the key to achieve production targets and to improve product quality. Statistical Process Control (SPC) and Automatic Process Control (APC) are considered as two sets of toolkits for enhancement. Major focus of SPC is on process monitoring, while that of APC is on process adjustment. Both SPC and APC were initially thought to be in conflict with each other, and their integrated use was totally out of question, until their advocates realized the fact about the techniques applied by them being complementary rather than contradictory. In this thesis, we will present different enhancement schemes which are based on dual application of SPC and APC techniques. Starting by conducting literature survey and covering technical background on our topic, moving to effective initial setting of the process parameters, passing by proper selection of control parameters, then proceeding towards process monitoring and assessment schemes, all of that will be our work path. All previous topics will be the building blocks for a fuzzy integrated SPC/APC scheme that obtains enhanced level of: process quality, performance, and robustness.
Muneeb A. Akram is an Advanced Application Engineer in the area of Industrial Automation. He did his M.Sc. in Systems Engineering from King Fahd University of Petroleum & Minerals, and received his B.Sc. in Control and Instrumentation Systems Engineering from the same institute.
Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.
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Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Process Enhancement is the key to achieve production targets and to improve product quality. Statistical Process Control (SPC) and Automatic Process Control (APC) are considered as two sets of toolkits for enhancement. Major focus of SPC is on process monitoring, while that of APC is on process adjustment. Both SPC and APC were initially thought to be in conflict with each other, and their integrated use was totally out of question, until their advocates realized the fact about the techniques applied by them being complementary rather than contradictory. In this thesis, we will present different enhancement schemes which are based on dual application of SPC and APC techniques. Starting by conducting literature survey and covering technical background on our topic, moving to effective initial setting of the process parameters, passing by proper selection of control parameters, then proceeding towards process monitoring and assessment schemes, all of that will be our work path. All previous topics will be the building blocks for a fuzzy integrated SPC/APC scheme that obtains enhanced level of: process quality, performance, and robustness. 188 pp. Englisch. N° de réf. du vendeur 9783844380675
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Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Akram MuneebMuneeb A. Akram is an Advanced Application Engineer in the area of Industrial Automation. He did his M.Sc. in Systems Engineering from King Fahd University of Petroleum & Minerals, and received his B.Sc. in Control and In. N° de réf. du vendeur 5475610
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Taschenbuch. Etat : Neu. Process Enhancement Through SPC/APC Techniques | Process Enhancement Through Integrated Statistical and Automatic Process Control Techniques | Muneeb Akram | Taschenbuch | 188 S. | Englisch | 2012 | LAP LAMBERT Academic Publishing | EAN 9783844380675 | Verantwortliche Person für die EU: BoD - Books on Demand, In de Tarpen 42, 22848 Norderstedt, info[at]bod[dot]de | Anbieter: preigu. N° de réf. du vendeur 106922385
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Taschenbuch. Etat : Neu. This item is printed on demand - Print on Demand Titel. Neuware -Process Enhancement is the key to achieve production targets and to improve product quality. Statistical Process Control (SPC) and Automatic Process Control (APC) are considered as two sets of toolkits for enhancement. Major focus of SPC is on process monitoring, while that of APC is on process adjustment. Both SPC and APC were initially thought to be in conflict with each other, and their integrated use was totally out of question, until their advocates realized the fact about the techniques applied by them being complementary rather than contradictory. In this thesis, we will present different enhancement schemes which are based on dual application of SPC and APC techniques. Starting by conducting literature survey and covering technical background on our topic, moving to effective initial setting of the process parameters, passing by proper selection of control parameters, then proceeding towards process monitoring and assessment schemes, all of that will be our work path. All previous topics will be the building blocks for a fuzzy integrated SPC/APC scheme that obtains enhanced level of: process quality, performance, and robustness.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 188 pp. Englisch. N° de réf. du vendeur 9783844380675
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Taschenbuch. Etat : Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Process Enhancement is the key to achieve production targets and to improve product quality. Statistical Process Control (SPC) and Automatic Process Control (APC) are considered as two sets of toolkits for enhancement. Major focus of SPC is on process monitoring, while that of APC is on process adjustment. Both SPC and APC were initially thought to be in conflict with each other, and their integrated use was totally out of question, until their advocates realized the fact about the techniques applied by them being complementary rather than contradictory. In this thesis, we will present different enhancement schemes which are based on dual application of SPC and APC techniques. Starting by conducting literature survey and covering technical background on our topic, moving to effective initial setting of the process parameters, passing by proper selection of control parameters, then proceeding towards process monitoring and assessment schemes, all of that will be our work path. All previous topics will be the building blocks for a fuzzy integrated SPC/APC scheme that obtains enhanced level of: process quality, performance, and robustness. N° de réf. du vendeur 9783844380675
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