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Complex & Enterprise Systems Engineering Model-Oriented Engineering Systems, NEW

Undiscovered Galaxy
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Ubicado en: Fairport, New York, Estados Unidos
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N.º de artículo de eBay:353956358411

Características del artículo

Estado
Nuevo: Libro nuevo, sin usar y sin leer, que está en perfecto estado; incluye todas las páginas sin ...
ISBN
9781420072518

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Product Identifiers

Publisher
Auerbach Publishers, Incorporated
ISBN-10
142007251X
ISBN-13
9781420072518
eBay Product ID (ePID)
26038595635

Product Key Features

Number of Pages
388 Pages
Language
English
Publication Name
Model-Oriented Systems Engineering Science : A Unifying Framework for Traditional and Complex Systems
Publication Year
2009
Subject
Industrial Engineering, Engineering (General), Manufacturing
Type
Textbook
Author
Duane W. Hybertson
Subject Area
Technology & Engineering
Series
Complex and Enterprise Systems Engineering Ser.
Format
Hardcover

Dimensions

Item Height
1.1 in
Item Weight
30.5 Oz
Item Length
10.4 in
Item Width
7.3 in

Additional Product Features

Intended Audience
Scholarly & Professional
LCCN
2008-044364
Dewey Edition
22
Illustrated
Yes
Dewey Decimal
620.001/171
Table Of Content
Challenges and Opportunities for Systems Engineering Systems Science Context Core Concepts of Model-Oriented SE Science Features of MOSES The SE Model Space Composition: Whole and Part Commonization: Similarities and Differences Conceptualization: Language and Ontology Time: Change and Stability Views Specification: Internal and External Mapping and Unification SE Actualization Processes
Synopsis
Systems engineering (SE) is experiencing a significant expansion that encompasses increasingly complex systems. However, a common body of knowledge on how to apply complex systems engineering (CSE) has yet to be developed. A combination of people and other autonomous agents, crossing organization boundaries and continually changing, these hybrid systems are less predictable while being more self-organizing and adaptive than traditional systems. The growing pains of this evolution and the ever-widening reach of SE technology require an effective foundation for integrating traditional and complex engineering methods, addressing machine and human interaction, as well as scaling up and down, from nano scale to the macro system-of-systems level. Model-oriented Systems Engineering Science: A Unifying Framework for Traditional and Complex Systems addresses solutions to that expansion and integration problem. This text takes advantage of better-understood systems science (SS) to support the transition, identifying and using commonalities between complex systems and other sciences, such as biology, sociology, cognitive science, organizational theory, and computational science. The author defines Model-oriented Systems Engineering Science (MOSES), an organized system that selects appropriate information from these disciplines and unifies it into a coherent framework. The result is a seamless approach to the class of systems across the extended scope of the new SE--a foundation upon which to develop an enhanced and unified SE. Modeling orientation (MO) provides a common perspective on the entire SES/SE enterprise, including all supporting sciences, engineering for the full range of traditional, complex, and hybrid systems, and their management. This book extends existing modeling approaches into an MO that views all science artifacts and engineering artifacts as models of systems. It organizes them into a virtual structured repository called the "SE model space"--effectively a container for the accumulating body of SE and SES knowledge in the form of models and patterns. By organizing and integrating all these elements into a common framework, the author makes the material not only easily accessible but also immediately applicable, and provides a well-grounded basis for future growth and evolution of the SE discipline., The field of systems engineering (SE) is at a juncture in its history where it needs to strengthen and extend its methods to support its expanding scope. This book addresses the issue, lays out a recommended direction for the future, and provides a unified basis for moving toward a mature discipline with the expanded scope. The author's approach is to build on the strengths of traditional SE, remedy the weaknesses, add elements that address the expanded scope, and unify all elements on a common foundation. The book addresses the systems that will be most prevalent from this point on, namely, systems characterized as a combination of traditional and complex, mechanistic and organic, natural and artificial.
LC Classification Number
TA168

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