CPN and DoE based Modelling and Performance Maximization | of multiple product FMS with resource breakdowns

Tauseef Aized

ISBN 10: 383833888X ISBN 13: 9783838338880
Verlag: LAP LAMBERT Academic Publishing, 2010
Neu Taschenbuch

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CPN and DoE based Modelling and Performance Maximization | of multiple product FMS with resource breakdowns | Tauseef Aized | Taschenbuch | 204 S. | Englisch | 2010 | LAP LAMBERT Academic Publishing | EAN 9783838338880 | Verantwortliche Person für die EU: BoD - Books on Demand, In de Tarpen 42, 22848 Norderstedt, info[at]bod[dot]de | Anbieter: preigu Print on Demand. Bestandsnummer des Verkäufers 101347996

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In order to be competitive, every manufacturing organization has to adapt to changes occurring in its environment. This adaptability to changes is measured by the notion of "manufacturing flexibility" which is the ability that empowers a manufacturing organization to deal with internal and external uncertainties. Among organizational internal uncertainties, one major concern is how to deal with the practical situations of resource breakdowns. The objective of this study is to model, analyze and maximize performance of a multi- product, multi-stage and multi-line flexible manufacturing system in which all resources are studied under planned and unplanned breakdown conditions along with automated inspection required to ensure the quality of products at each manufacturing stage. This study uses colored Petri net method for FMS modeling because it can handle complex system modeling concepts and constraints in a compact way. The CPN models are simulated to generate resulting data which can subsequently be used for design of experiment modeling aimed to maximize the performance of a system.

Reseña del editor: In order to be competitive, every manufacturing organization has to adapt to changes occurring in its environment. This adaptability to changes is measured by the notion of "manufacturing flexibility" which is the ability that empowers a manufacturing organization to deal with internal and external uncertainties. Among organizational internal uncertainties, one major concern is how to deal with the practical situations of resource breakdowns. The objective of this study is to model, analyze and maximize performance of a multi- product, multi-stage and multi-line flexible manufacturing system in which all resources are studied under planned and unplanned breakdown conditions along with automated inspection required to ensure the quality of products at each manufacturing stage. This study uses colored Petri net method for FMS modeling because it can handle complex system modeling concepts and constraints in a compact way. The CPN models are simulated to generate resulting data which can subsequently be used for design of experiment modeling aimed to maximize the performance of a system.

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Titel: CPN and DoE based Modelling and Performance ...
Verlag: LAP LAMBERT Academic Publishing
Erscheinungsdatum: 2010
Einband: Taschenbuch
Zustand: Neu

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Tauseef Aized
ISBN 10: 383833888X ISBN 13: 9783838338880
Neu Taschenbuch

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Taschenbuch. Zustand: Neu. Neuware -In order to be competitive, every manufacturing organization has to adapt to changes occurring in its environment. This adaptability to changes is measured by the notion of ¿manufacturing flexibility¿ which is the ability that empowers a manufacturing organization to deal with internal and external uncertainties. Among organizational internal uncertainties, one major concern is how to deal with the practical situations of resource breakdowns. The objective of this study is to model, analyze and maximize performance of a multi- product, multi-stage and multi-line flexible manufacturing system in which all resources are studied under planned and unplanned breakdown conditions along with automated inspection required to ensure the quality of products at each manufacturing stage. This study uses colored Petri net method for FMS modeling because it can handle complex system modeling concepts and constraints in a compact way. The CPN models are simulated to generate resulting data which can subsequently be used for design of experiment modeling aimed to maximize the performance of a system.Books on Demand GmbH, Überseering 33, 22297 Hamburg 204 pp. Englisch. Artikel-Nr. 9783838338880

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