Managing Complex Systems

Wiley Series in Systems Engineering and Management

Book 34
Sold by John Wiley & Sons
1
Free sample

Nine innovative methods to think outside the box and solve complex system problems

Managing Complex Systems provides specific tools and guidance needed to be a more creative and innovative thinker. Following the author's methodology, the reader will be better able to devise and implement nontraditional solutions to seemingly intractable complex problems. By challenging the reader to think in new and creative ways, the book offers a road map to success, whether measured in terms of competitive advantage, greater market share, improved productivity, or higher profits, all based upon better solutions to difficult problems.

The first four chapters set the foundation for creative thinking by exploring the nature of large-scale systems and complexity, thinking inside and outside the box, and examples of how an inventive mind solves problems in both management and scientific domains. Subsequent chapters address nine focused methods that the author has formulated to help the reader think outside the box:
* Broaden and generalize
* Crossover
* Question conventional wisdom
* Back of the envelope
* Expanding the dimensions
* Obversity
* Remove constraints
* Thinking with pictures
* Systems approach

Real-life examples are provided for each method that demonstrate how the approach enhances problem solving and decision making in system development and management. Following the discussion of the nine methods, the author examines group decision making as well as additional creative thinking procedures devised by other researchers, including references that assist in exploring these methods in greater detail. The author ends with a wrap-up chapter that includes a test to help readers practice their tendencies toward creative thinking skills and action with respect to solving real-world problems.

The nine methods discussed in this book have broad applicability and can be used successfully by managers with a wide range of responsibilities in business and technology. For anyone who is tired of the same old approach with the same old results, this book is essential reading.
Read more

About the author

HOWARD EISNER, DSc, has managed and carried out research and development programs in systems and software engineering for more than forty-five years, in both industrial and academic environments. He served as executive vice president of ORI, Inc. and vice president of Atlantic Research Corporation (ARC). Currently, he is Professor at The George Washington University. Dr. Eisner has given tutorials for INCOSE (International Council on Systems Engineering), has over 100 papers to his credit and has had many of his articles published in the Washington Business Journal.
Read more
3.0
1 total
Loading...

Additional Information

Publisher
John Wiley & Sons
Read more
Published on
Jan 6, 2011
Read more
Pages
216
Read more
ISBN
9781118006696
Read more
Language
English
Read more
Genres
Technology & Engineering / Electrical
Technology & Engineering / Electronics / General
Read more
Content Protection
This content is DRM protected.
Read more
Read Aloud
Available on Android devices
Read more

Reading information

Smartphones and Tablets

Install the Google Play Books app for Android and iPad/iPhone. It syncs automatically with your account and allows you to read online or offline wherever you are.

Laptops and Computers

You can read books purchased on Google Play using your computer's web browser.

eReaders and other devices

To read on e-ink devices like the Sony eReader or Barnes & Noble Nook, you'll need to download a file and transfer it to your device. Please follow the detailed Help center instructions to transfer the files to supported eReaders.
The tools needed to make a better, more informed decision.

Decision analysis (DA) is the logic of making a decision using quantitative models of the decider's factual and value judgments. DA is already widely used in business, government, medicine, economics, law, and science. However, most resources present only the logic and models rather than demonstrating how these methods can be effectively applied to the real world. This book offers an innovative approach to decision analysis by focusing on decision-making tools that can be utilized immediately to make better, more informed decisions. It uses no mathematics beyond arithmetic.

Examining how deciders think about their choices, this book provides problem-solving techniques that not only reflect sound modeling but also meet other essential requirements: they build on the thinking and knowledge that deciders already possess; they provide knowledge in a form that people are able and willing to provide; they produce results that the decider can use; and they are based on intimate and continuous interactions with the decider. The methods outlined in this text take into account such factors as the use, the user, the organization, available data, and subjective knowledge.

Replete with exercises, case studies, and observations from the author’s own extensive consulting experience, the book quickly engages readers and enables them to master decision analysis by doing rather than by simply reading. Using familiar situations, it demonstrates how to handle knowledge as it unfolds in the real world. A term project is presented in the final chapter, in which readers can select an actual decision-making problem and apply their newfound tools to prepare a recommendation. A sample report is provided in the appendix.

Beginning with qualitative structuring, the text advances to sophisticated quantitative skills that can be applied in both public and private enterprise, including:

· Modeling decision-making under conditions of uncertainty or multiple objectives

Risk analysis and assessment Communicating and justifying controversial decisions Personal life choices and political judgments Adapting decision aid to organizations

The book's broad applicability makes it an excellent resource for any organization or as a textbook for decision-making courses in a variety of fields, including public policy, business management, systems engineering and general education.

An Instructor's Manual presenting detailed solutions to all the problems in the book is available from the Wiley editorial department.

An updated and timely new look at the theory and practice of riskmanagement

Since the first edition of Risk Modeling, Assessment, andManagement was published, public interest in the field of riskanalysis has grown astronomically. Its adaptation across manydisciplines and its deployment by industry and government agenciesin decision making has led to an unprecedented development of newtheory, methodology, and practical tools.

The Second Edition of this well-regarded reference describes thestate of the art of risk management and its important applicationsin such areas as engineering, science, manufacturing, business,management, and public policy. The author strikes a balance betweenthe quantitative and the qualitative aspects of risk management,showing clearly how to quantify risk and construct probability inconjunction with real-world decision-making problems. At the sametime, he addresses a host of institutional, organizational,political, and cultural considerations. Incorporating real-worldexamples and case studies to illustrate the analytical methodsunder discussion, the book presents basic concepts as well asadvanced material, avoiding higher mathematics wheneverpossible.

Some key revisions to the Second Edition include:
* A completely updated format with many new examples andproblems
* A new chapter on Risks of Terrorism, including case studies intransportation, water supply, infrastructure interdependencies,food safety, and a National Research Council report onterrorism
* A new chapter on Risk Filtering, Ranking, and Management (RFRM),a technology co-developed by the author and supported by severalcase studies and examples
* A new focus on minimizing the high cost associated with today'smore extensive risk management


Examining timely, multidisciplinary practical applications, thisnew edition offers an important resource for industry professionalsas well as advanced graduate students in systems engineering.
A practical approach to enhancing quality in software models using UML Version 2.0

"Despite its increasing usage, many companies are not taking the best advantage of UML and, occasionally, individuals have experienced frustration in applying its standards. Perhaps this is because they have not yet read this book!"
-From the Foreword by Prof. Brian Henderson-Sellers

This book presents a practical checklist approach to enhancing the quality of software models created with the Unified Modeling Language (UML) Version 2.0. The foundation for quality is set by the discussion on the nature and creation of UML models. This is followed by a demonstration of how to apply verification and validation checks to these models with three foci: syntactical correctness, semantic meaningfulness, and aesthetic symmetry. The quality work is carried out within three distinct yet related modeling spaces:
* Model of problem space (MOPS)
* Model of solution space (MOSS)
* Model of background space (MOBS)

Readers can then choose a specific quality approach according to their roles in their projects.

Verification and validation checks are also organized according to these three modeling spaces, making it easier for the reader to focus on the appropriate diagrams and quality checks corresponding to their modeling space. In addition, a major element of this publication is the Strengths, Weaknesses, Objectives, and Traps (SWOT) analysis. This analysis is performed on each UML diagram, enabling readers to fully comprehend these diagrams, their advantages and limitations, and the way in which they can be used in practical projects for modeling.

A consistent case study of the Lucky Insurance System is provided throughout the chapters to illustrate the creation of good quality UML diagrams, followed by application of quality checks to them. With its emphasis on quality in UML-based projects, this book is an essential resource for all quality professionals, including quality analysts, process consultants, quality managers, test designers, and testers.
This landmark book begins with the premise that an organization must often fundamentally transform its business practices and organizational culture to fully align with and realize the value of product and process innovations. The methods and practices that are set forth give readers the tools to create the essential organizational transformations needed to meet the challenges of a complex, rapidly evolving global economy.

Enterprise Transformation is organized into four parts:
* Introduction to Transformation begins with an introduction and overview of the book. It then features a systems-oriented view of transformation as well as a theo-retical perspective on the forces that propel transformation and the nature in which transformation is pursued.
* Elements of Transformation addresses issues of transformational leadership and organizational and cultural change. Next, it examines transformation principles and case studies relevant to manufacturing, logistics, services, research and development, enterprise computing, and quality management.
* Transformation Practices focuses on transformation planning and execution, financing, bankruptcy, tax issues, public relations, and the lessons learned from a variety of transformation experiences.
* Transformation Case Studies features detailed studies of Newell Rubbermaid, Reebok, Lockheed Martin, and Interface. This part also considers transformation in academia with an overview of fundamental change at Georgia Tech. These case studies demonstrate the application of principles and practices and their results.

The authors of this contributed work are senior executives, leading consultants, and respected academics. Their experience in leading enterprise transformation and supporting management teams is unparalleled. Managers and executives from all industries, as well as business students, will learn about the critical tools needed to transform their organizations to keep pace with market demands and surpass competitors.
From modeling and simulation to games and entertainment

With contributions from leaders in systems and organizational modeling, behavioral and social sciences, computing and visualization, and gaming and entertainment, Organizational Simulation both articulates the grand vision of immersive environments and shows, in detail, how to realize it. This book offers unparalleled insight into the cutting edge of the field, since it was written by those who actually researched, designed, developed, deployed, marketed, sold, and critiqued today's best organizational simulations.

The coverage is divided into four sections:
* Introduction outlines the need for organizational simulation to support strategic thinking, design of unprecedented systems, and organizational learning, including the functionality and technology required to enable this support
* Behaviors covers the state of knowledge of individual, group, and team behaviors and performance, how performance can best be supported, how performance is affected by national differences, and how organizational performance can best be measured
* Modeling describes the latest approaches to modeling and simulating people, groups, teams, and organizations, as well as narrative contexts and organizational environments within which these entities act, drawing from a rich set of modeling methods and tools
* Simulations and Games illustrates a wide range of fielded simulations, games, and entertainment, including the methods and tools employed for designing, developing, deploying, and evaluating these systems, as well as the social implications for the associated communities that have emerged


Addressing all levels of organizational simulation architecture with theories and applications, and enabling technologies for each, Organizational Simulation offers students and professionals the premier reference and practical toolbox for this dynamic field.
The tools needed to make a better, more informed decision.

Decision analysis (DA) is the logic of making a decision using quantitative models of the decider's factual and value judgments. DA is already widely used in business, government, medicine, economics, law, and science. However, most resources present only the logic and models rather than demonstrating how these methods can be effectively applied to the real world. This book offers an innovative approach to decision analysis by focusing on decision-making tools that can be utilized immediately to make better, more informed decisions. It uses no mathematics beyond arithmetic.

Examining how deciders think about their choices, this book provides problem-solving techniques that not only reflect sound modeling but also meet other essential requirements: they build on the thinking and knowledge that deciders already possess; they provide knowledge in a form that people are able and willing to provide; they produce results that the decider can use; and they are based on intimate and continuous interactions with the decider. The methods outlined in this text take into account such factors as the use, the user, the organization, available data, and subjective knowledge.

Replete with exercises, case studies, and observations from the author’s own extensive consulting experience, the book quickly engages readers and enables them to master decision analysis by doing rather than by simply reading. Using familiar situations, it demonstrates how to handle knowledge as it unfolds in the real world. A term project is presented in the final chapter, in which readers can select an actual decision-making problem and apply their newfound tools to prepare a recommendation. A sample report is provided in the appendix.

Beginning with qualitative structuring, the text advances to sophisticated quantitative skills that can be applied in both public and private enterprise, including:

· Modeling decision-making under conditions of uncertainty or multiple objectives

Risk analysis and assessment Communicating and justifying controversial decisions Personal life choices and political judgments Adapting decision aid to organizations

The book's broad applicability makes it an excellent resource for any organization or as a textbook for decision-making courses in a variety of fields, including public policy, business management, systems engineering and general education.

An Instructor's Manual presenting detailed solutions to all the problems in the book is available from the Wiley editorial department.

This book provides an overview of systems engineering, its important elements, and aspects of management that will lead in the direction of building systems with a greater likelihood of success. Emphasis is placed upon the following elements: - How the systems approach is defined, and how it guides the systems engineering processes - How systems thinking helps in combination with the systems approach and systems engineering - Time lines that define the life cycle dimensions of a system - System properties, attributes, features, measures and parameters - Approaches to architecting systems - Dealing with requirements, synthesis, analysis and cost effectiveness considerations - Life cycle costing of systems - Modeling, simulation and other analysis methods - Technology and its interplay with risk and its management - Systems acquisition and integration - Systems of systems - Thinking outside the box - Success and failure factors - Software engineering - Standards - Systems engineering management Together, these top-level aspects of systems engineering need to be understood and mastered in order to improve the way we build systems, as they typically become larger and more complex. Table of Contents: Definitions and Background / The Systems Approach / Systems Thinking / Key Elements of Systems Engineering / The Life Cycle Dimension / System Properties, Attributes and Features (PAFs) / Measures and Parameters / Architecting / Functional Decomposition / Requirements Engineering / Synthesis / Analysis / Cost-Effectiveness / Life Cycle Costing / Modeling and Simulation / Other Analysis Relationships / The Role of Technology / Risk Management / Testing, Verification, and Validation / Integration / Systems Engineering Management / Project Management / Software Engineering / Systems Acquisition / Systems of Systems / Thinking Outside the Box / Ten Failure Factors / A Success Audit / Standards
"This is teaching at its best!"

--Hans Camenzind, inventor of the 555 timer (the world's most successful integrated circuit), and author of Much Ado About Almost Nothing: Man's Encounter with the Electron (Booklocker.com)

"A fabulous book: well written, well paced, fun, and informative. I also love the sense of humor. It's very good at disarming the fear. And it's gorgeous. I'll be recommending this book highly."

--Tom Igoe, author of Physical Computing and Making Things Talk

Want to learn the fundamentals of electronics in a fun, hands-on way? With Make: Electronics, you'll start working on real projects as soon as you crack open the book. Explore all of the key components and essential principles through a series of fascinating experiments. You'll build the circuits first, then learn the theory behind them!

Build working devices, from simple to complex You'll start with the basics and then move on to more complicated projects. Go from switching circuits to integrated circuits, and from simple alarms to programmable microcontrollers. Step-by-step instructions and more than 500 full-color photographs and illustrations will help you use -- and understand -- electronics concepts and techniques.

Discover by breaking things: experiment with components and learn from failure Set up a tricked-out project space: make a work area at home, equipped with the tools and parts you'll need Learn about key electronic components and their functions within a circuit Create an intrusion alarm, holiday lights, wearable electronic jewelry, audio processors, a reflex tester, and a combination lock Build an autonomous robot cart that can sense its environment and avoid obstacles Get clear, easy-to-understand explanations of what you're doing and why
An updated and timely new look at the theory and practice of riskmanagement

Since the first edition of Risk Modeling, Assessment, andManagement was published, public interest in the field of riskanalysis has grown astronomically. Its adaptation across manydisciplines and its deployment by industry and government agenciesin decision making has led to an unprecedented development of newtheory, methodology, and practical tools.

The Second Edition of this well-regarded reference describes thestate of the art of risk management and its important applicationsin such areas as engineering, science, manufacturing, business,management, and public policy. The author strikes a balance betweenthe quantitative and the qualitative aspects of risk management,showing clearly how to quantify risk and construct probability inconjunction with real-world decision-making problems. At the sametime, he addresses a host of institutional, organizational,political, and cultural considerations. Incorporating real-worldexamples and case studies to illustrate the analytical methodsunder discussion, the book presents basic concepts as well asadvanced material, avoiding higher mathematics wheneverpossible.

Some key revisions to the Second Edition include:
* A completely updated format with many new examples andproblems
* A new chapter on Risks of Terrorism, including case studies intransportation, water supply, infrastructure interdependencies,food safety, and a National Research Council report onterrorism
* A new chapter on Risk Filtering, Ranking, and Management (RFRM),a technology co-developed by the author and supported by severalcase studies and examples
* A new focus on minimizing the high cost associated with today'smore extensive risk management


Examining timely, multidisciplinary practical applications, thisnew edition offers an important resource for industry professionalsas well as advanced graduate students in systems engineering.
The Third Edition of Essentials of Project and Systems Engineering Management enables readers to manage the design, development, and engineering of systems effectively and efficiently. The book both defines and describes the essentials of project and systems engineering management and, moreover, shows the critical relationship and interconnection between project management and systems engineering. The author's comprehensive presentation has proven successful in enabling both engineers and project managers to understand their roles, collaborate, and quickly grasp and apply all the basic principles.
Readers familiar with the previous two critically acclaimed editions will find much new material in this latest edition, including: Multiple views of and approaches to architectures The systems engineer and software engineering The acquisition of systems Problems with systems, software, and requirements Group processes and decision making System complexity and integration Throughout the presentation, clear examples help readers understand how concepts have been put into practice in real-world situations.

With its unique integration of project management and systems engineering, this book helps both engineers and project managers across a broad range of industries successfully develop and manage a project team that, in turn, builds successful systems. For engineering and management students in such disciplines as technology management, systems engineering, and industrial engineering, the book provides excellent preparation for moving from the classroom to industry.
©2018 GoogleSite Terms of ServicePrivacyDevelopersArtistsAbout Google|Location: United StatesLanguage: English (United States)
By purchasing this item, you are transacting with Google Payments and agreeing to the Google Payments Terms of Service and Privacy Notice.