Engineering Data Management
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Engineering Data Management
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Author : Ken McIntosh
language : en
Publisher: McGraw-Hill Companies
Release Date : 1995
Engineering Data Management written by Ken McIntosh and has been published by McGraw-Hill Companies this book supported file pdf, txt, epub, kindle and other format this book has been release on 1995 with Business & Economics categories.
Provides a complete introduction to the subject of energy data management (EDM) systems, their development, theory and practical use. The book charts the historical development of EDM and highlights the need for a concurrent engineering process to ensure manufacturing excellence.
Edm Engineering Data Management
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Author : Nekisha Haring
language : de
Publisher: GRIN Verlag
Release Date : 2006-01-16
Edm Engineering Data Management written by Nekisha Haring and has been published by GRIN Verlag this book supported file pdf, txt, epub, kindle and other format this book has been release on 2006-01-16 with Technology & Engineering categories.
Studienarbeit aus dem Jahr 2005 im Fachbereich Ingenieurwissenschaften - Wirtschaftsingenieurwesen, Note: 1,3, Hochschule für Technik und Wirtschaft Berlin, Veranstaltung: FI 1, Sprache: Deutsch, Abstract: Höhere Anforderungen der Kunden an die Produkte, kürzer werdende Produktlebens- und Innovationszyklen, zunehmende Dezentralisierung von Produktionsstätten in billig Lohnländer zur Minimierung der Lohnnebenkosten und die Globalisierung der Märkte führen zu dynamischer Umstrukturierung der Aufbauorganisationen und zu Anpassungen der Prozesse. Um diesen geforderten Marktgegebenheiten zu entsprechen, ist der Wandel zu schlanken, flexiblen Unternehmen erforderlich. [vgl. VDI-K00, S.236] Das Erreichen der Kosten-, Zeit- und Qualitätsziele erfordert einen tief greifenden Wandel der Produktentwicklungsprozesse und der Konstruktionsumgebungen. Die Rationalisierung der Prozesse erhöht den Informationsbedarf und die durchgängige Prozessorientierte Unterstützung durch Informationstechnologien. [vgl. VDI-L00, S.168] Der wachsende Bedarf an Informationen induziert einen hohen Datenfluss der wiederum eine immer größer werde Menge an Daten mit sich bringt. Die Informationsmengen (Datenmengen) müssen verwaltet und strukturiert werden. „Einunternehmensweiter Know-how-Speicher entsteht“,der von einem Wissensmanager/-ingenieur organisiert und verwaltet werden muss. [EIG-99, S.02] Die Problematik besteht darin, dass einzelne Abteilungen eines Unternehmens zumeist unterschiedliche DV-Anwendungen verwenden und somit eine heterogene DV-Landschaft zu Grunde liegt, die die Datenkommunikation zwischen den einzelnen Unternehmensbereichen aufgrund mangelnder Infrastrukturen sowie unzureichenden Datenschnittstellen erschweren. Weiterhin problematisch, ist es, die Aktualität der Daten sicherzustellen und auftretende Inkonsistenten (Widersprüche), sowie Redundanzen (Mehrfachauftreten) zu vermeiden bzw. zu kontrollieren. [vgl. VDI-K00, S. 237]
Engineering Data Management
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Author :
language : en
Publisher:
Release Date : 1994
Engineering Data Management written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1994 with Concurrent engineering categories.
Engineering Data Management
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Author :
language : en
Publisher:
Release Date : 1990
Engineering Data Management written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1990 with Database management categories.
Asme Engineer S Data Book
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Author : Clifford Matthews
language : en
Publisher: American Society of Mechanical Engineers
Release Date : 2005
Asme Engineer S Data Book written by Clifford Matthews and has been published by American Society of Mechanical Engineers this book supported file pdf, txt, epub, kindle and other format this book has been release on 2005 with Technology & Engineering categories.
This greatly expanded second edition of this popular and handy reference book includes over 100 new pages, including extensive coverage of Section VIII of the ASME Pressure Vessel Code. Divided into 22 sections, this pocket-sized volume is an exhaustive "quick reference" of up-to-date engineering data and rules. It includes: essential mathematics; units; engineering design processes and principles; basic mechanical design; motion; mechanics of materials; material failure; thermodynamics; fluid mechanics; fluid equipment; vessel codes and standards; materials; machine elements; design and production tools; project engineering; computer-aided engineering; welding; non-destructive examination; corrosion; surface protection; metallurgical terms; and engineering associations and organizations.
An Engineering Data Management System For Computer Aided Design
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Author : F. J. Heerema
language : en
Publisher:
Release Date : 1983
An Engineering Data Management System For Computer Aided Design written by F. J. Heerema and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1983 with categories.
Processing
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Author :
language : en
Publisher:
Release Date : 1985
Processing written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1985 with Chemical engineering categories.
Engineering Data Management
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Author : Thomas Richard Chase
language : en
Publisher:
Release Date : 1992
Engineering Data Management written by Thomas Richard Chase and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1992 with Computers categories.
Fundamentals Of Data Engineering
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Author : Joe Reis
language : en
Publisher: "O'Reilly Media, Inc."
Release Date : 2022-06-22
Fundamentals Of Data Engineering written by Joe Reis and has been published by "O'Reilly Media, Inc." this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-06-22 with Computers categories.
"Data engineering has grown rapidly in the past decade, leaving many software engineers, data scientists, and analysts looking for a comprehensive view of this practice. With this practical book, you will learn how to plan and build systems to serve the needs of your organization and customers by evaluating the best technologies available in the framework of the data engineering lifecycle. Authors Joe Reis and Matt Housley walk you through the data engineering lifecycle and show you how to stitch together a variety of cloud technologies to serve the needs of downstream data consumers. You will understand how to apply the concepts of data generation, ingestion, orchestration, transformation, storage, governance, and deployment that are critical in any data environment regardless of the underlying technology. This book will help you: Assess data engineering problems using an end-to-end data framework of best practices Cut through marketing hype when choosing data technologies, architecture, and processes Use the data engineering lifecycle to design and build a robust architecture Incorporate data governance and security across the data engineering lifecycle." - from Publisher.
Engineering Data Management
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Author : Scott Franklin Durham
language : en
Publisher:
Release Date : 2009
Engineering Data Management written by Scott Franklin Durham and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2009 with categories.
In the last fifty years, process improvements in service and product based organizations have greatly improvement quality, decreased development time and reduced scrap by improving process efficiency. Terms such as Lean Engineering, Just in Time, Total Quality Management and certifications such as ISO 9000 have become commonplace. In support of these process improvements, Engineering Data Management is a toolkit for achieving a truly integrated environment within a technical business by allowing teams to work more closely together, improving speed and efficiencies within the organization. This report was created to introduce the reader to basic principles of EDM and how it can improve an organization's ability to compete.