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Managing System Complexity via a Mul...

Hahne, Brett Hamilton.

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Managing System Complexity via a Multi-Dimensional Model Set.

Record Type:	Electronic resources : Monograph/item
Title/Author:	Managing System Complexity via a Multi-Dimensional Model Set./
Author:	Hahne, Brett Hamilton.
Published:	Ann Arbor : ProQuest Dissertations & Theses, : 2024,
Description:	208 p.
Notes:	Source: Dissertations Abstracts International, Volume: 85-12, Section: A.
Contained By:	Dissertations Abstracts International85-12A.
Subject:	Engineering. -
Online resource:	https://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=31296347
ISBN:	9798383164006

Managing System Complexity via a Multi-Dimensional Model Set.
Hahne, Brett Hamilton.

Managing System Complexity via a Multi-Dimensional Model Set. - Ann Arbor : ProQuest Dissertations & Theses, 2024 - 208 p.

Source: Dissertations Abstracts International, Volume: 85-12, Section: A.

Thesis (Ph.D.)--State University of New York at Binghamton, 2024.

For the past 50 plus years, Moore's law has been somewhat of an "anchor" portraying the pace of change pertaining to complexity. Albeit one could debate the validity of whether Moore's law remains as a beacon in this regard, the collective rate of technical change continues to surpass expectations for general society. In fact, it is evident that complexity levels in all facets of overall life continue to rise rapidly. This has resulted in individuals, families, organizations, government agencies, etc., all facing significant challenges to gain insight to and understand intertwined layers of connections, communications, and associated relationships. This is further complicated by said entities striving to recognize and understand various factors influencing or predicting the outcome of a given situation or relationship. Given these challenges, entities have struggled to not only make decisions in a fashion that considers various complex scenarios; but, also to portray, understand, and manage intertwined scenarios in a manner facilitating achievement of harmonic outcomes. Essentially, the ability to clearly represent these complex scenarios and situations has been daunting at best. The work presented herein portrays a set of innovative models, techniques, and System Engineering principles that facilitate a means to not only identify and assess complex scenarios, but also provides a comprehensive approach to model and ultimately understand and manage these scenarios. This may equate to the development or pursuit of a typical project aimed at achieving the production of a product/service or a representation of complicated dynamics associated with a large organization or perhaps the interactions across a complex family. Having the ability to represent these scenarios in a clear and controlled manner provides the user with a powerful tool set to oversee how interactions take place,{A0}while also revealing potential outcomes resulting from said interactions. Ultimately a window into an environment that was previously overly complex and difficult to comprehend is portrayed in a concise manner. This improved visibility, in turn, leads to better relationships, improved efficiency levels, increased profits and numerous other factors that are derivatives of gained clarity.

ISBN: 9798383164006Subjects--Topical Terms:

586835
Engineering.
Subjects--Index Terms:

Organizational modeling

Managing System Complexity via a Multi-Dimensional Model Set.
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520 $a For the past 50 plus years, Moore's law has been somewhat of an "anchor" portraying the pace of change pertaining to complexity. Albeit one could debate the validity of whether Moore's law remains as a beacon in this regard, the collective rate of technical change continues to surpass expectations for general society. In fact, it is evident that complexity levels in all facets of overall life continue to rise rapidly. This has resulted in individuals, families, organizations, government agencies, etc., all facing significant challenges to gain insight to and understand intertwined layers of connections, communications, and associated relationships. This is further complicated by said entities striving to recognize and understand various factors influencing or predicting the outcome of a given situation or relationship. Given these challenges, entities have struggled to not only make decisions in a fashion that considers various complex scenarios; but, also to portray, understand, and manage intertwined scenarios in a manner facilitating achievement of harmonic outcomes. Essentially, the ability to clearly represent these complex scenarios and situations has been daunting at best. The work presented herein portrays a set of innovative models, techniques, and System Engineering principles that facilitate a means to not only identify and assess complex scenarios, but also provides a comprehensive approach to model and ultimately understand and manage these scenarios. This may equate to the development or pursuit of a typical project aimed at achieving the production of a product/service or a representation of complicated dynamics associated with a large organization or perhaps the interactions across a complex family. Having the ability to represent these scenarios in a clear and controlled manner provides the user with a powerful tool set to oversee how interactions take place,{A0}while also revealing potential outcomes resulting from said interactions. Ultimately a window into an environment that was previously overly complex and difficult to comprehend is portrayed in a concise manner. This improved visibility, in turn, leads to better relationships, improved efficiency levels, increased profits and numerous other factors that are derivatives of gained clarity.
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