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Rational Process Design and Simulation Modeling with Witness HorizonLanner Group released the latest update to their process simulation software, Witness Horizon, in 2016. Witness Horizon includes many updates from prior releases especially with regard to dramatic enhancements in three-dimensional modeling. The previous edition of this text, which is also available in Kindle format, is specific to Witness 13 and 14. This edition or Rational Process Design & Simulation Modeling with Witness Horizon provides an introduction to manufacturing process design and simulation modeling. More than being a simple explanation of the mechanics of developing simulation models, there is a significant focus on the use of Axiomatic Design for manufacturing processes, building the simulation models up from a strong foundation of process and product functional requirements. Additionally, incorporation of Process Failure Mode Effect Analysis with simulation modeling is reviewed and demonstrated.The text consists of seven chapters, with each chapter building on the concepts presented in those prior. Chapter 1 - Simulation model project planningChapter 2 - Introduction to Lanner Witness structure and menusChapter 3 - Building a first simple modelChapter 4 - SMT electronics manufacturing modelChapter 5 - Conveyors and pathsChapter 6 - Variables and variabilityChapter 7 - Advanced topics: PFMEA and simulation, Axiomatic Design of simulation models and 3D modeling
Rational Process Design and Simulation Modeling with Witness Horizon 22 Lanner Group released the latest update to their WITNESS process simulation software, WITNESS Horizon 22, in 2018. WITNESS Horizon includes many updates from prior releases especially including dramatic enhancements in three-dimensional modeling, Data Tables and charting tools. This edition of Rational Process Design & Simulation Modeling with WITNESS Horizon 22 provides an introduction to manufacturing process design and simulation modeling. More than being just a simple explanation of the mechanics of developing simulation models, there is a significant focus on the use of Axiomatic Design for manufacturing processes and building stochastic simulation models based on a strong foundation of process and product functional requirements. The approach is conversational with occasional humorous asides, taking the reader through a series of exercises that are illustrated step-by-step. The seven chapters of exercises sequentially build knowledge, experience and the reader's self-confidence. After all, one would certainly be reluctant to learn to ride a bicycle from reading a book. Learning to develop useful simulation models is, in the end, best accomplished by actually building models and this text supports that model building with a thorough level of detail. Table of Contents Chapter 1 - Planning Your Simulation Project Chapter 2 - Introduction to Lanner WITNESS Structure & Menus Chapter 3 - Building Your First Model! Chapter 4 Modeling SMT Electronic Manufacturing Chapter 5 Conveyors, Paths and Pretzel Logic Chapter 6 Variables and Variability Stochastic modeling Fitting probability density functions to data Data Tables Charts Chapter 7 Advanced Topics 3 D modeling Axiomatic Design PFMEA and Simulation Chapter 8.0 Activity Based Costs and Simulation
Herbert Simon's classic work on artificial intelligence in the expanded and updated third edition from 1996, with a new introduction by John E. Laird. Herbert Simon's classic and influential The Sciences of the Artificial declares definitively that there can be a science not only of natural phenomena but also of what is artificial. Exploring the commonalities of artificial systems, including economic systems, the business firm, artificial intelligence, complex engineering projects, and social plans, Simon argues that designed systems are a valid field of study, and he proposes a science of design. For this third edition, originally published in 1996, Simon added new material that takes into account advances in cognitive psychology and the science of design while confirming and extending the book's basic thesis: that a physical symbol system has the necessary and sufficient means for intelligent action. Simon won the Nobel Prize for Economics in 1978 for his research into the decision-making process within economic organizations and the Turing Award (considered by some the computer science equivalent to the Nobel) with Allen Newell in 1975 for contributions to artificial intelligence, the psychology of human cognition, and list processing. The Sciences of the Artificial distills the essence of Simon's thought accessibly and coherently. This reissue of the third edition makes a pioneering work available to a new audience.
Develops a theory of contemporary culture that relies on displacing economic notions of cultural production with notions of cultural expenditure. This book represents an effort to rethink cultural theory from the perspective of a concept of cultural materialism, one that radically redefines postmodern formulations of the body.
Today’s leading authority on the subject of this text is the author, MIT Standish Professor of Management and Director of the System Dynamics Group, John D. Sterman. Sterman’s objective is to explain, in a true textbook format, what system dynamics is, and how it can be successfully applied to solve business and organizational problems. System dynamics is both a currently utilized approach to organizational problem solving at the professional level, and a field of study in business, engineering, and social and physical sciences.
Dr. Greg Zacharias, former Chief Scientist of the United States Air Force (2015-18), explores next steps in autonomous systems (AS) development, fielding, and training. Rapid advances in AS development and artificial intelligence (AI) research will change how we think about machines, whether they are individual vehicle platforms or networked enterprises. The payoff will be considerable, affording the US military significant protection for aviators, greater effectiveness in employment, and unlimited opportunities for novel and disruptive concepts of operations. Autonomous Horizons: The Way Forward identifies issues and makes recommendations for the Air Force to take full advantage of this transformational technology.
The classic book on systems thinking—with more than half a million copies sold worldwide! "This is a fabulous book... This book opened my mind and reshaped the way I think about investing."—Forbes "Thinking in Systems is required reading for anyone hoping to run a successful company, community, or country. Learning how to think in systems is now part of change-agent literacy. And this is the best book of its kind."—Hunter Lovins In the years following her role as the lead author of the international bestseller, Limits to Growth—the first book to show the consequences of unchecked growth on a finite planet—Donella Meadows remained a pioneer of environmental and social analysis until her untimely death in 2001. Thinking in Systems is a concise and crucial book offering insight for problem solving on scales ranging from the personal to the global. Edited by the Sustainability Institute’s Diana Wright, this essential primer brings systems thinking out of the realm of computers and equations and into the tangible world, showing readers how to develop the systems-thinking skills that thought leaders across the globe consider critical for 21st-century life. Some of the biggest problems facing the world—war, hunger, poverty, and environmental degradation—are essentially system failures. They cannot be solved by fixing one piece in isolation from the others, because even seemingly minor details have enormous power to undermine the best efforts of too-narrow thinking. While readers will learn the conceptual tools and methods of systems thinking, the heart of the book is grander than methodology. Donella Meadows was known as much for nurturing positive outcomes as she was for delving into the science behind global dilemmas. She reminds readers to pay attention to what is important, not just what is quantifiable, to stay humble, and to stay a learner. In a world growing ever more complicated, crowded, and interdependent, Thinking in Systems helps readers avoid confusion and helplessness, the first step toward finding proactive and effective solutions.
If engineering is the art and science of technical problem solving, systems architecting happens when you don't yet know what the problem is. The third edition of a highly respected bestseller, The Art of Systems Architecting provides in-depth coverage of the least understood part of systems design: moving from a vague concept and limited resources
Very broad overview of the field intended for an interdisciplinary audience; Lively discussion of current challenges written in a colloquial style; Author is a rising star in this discipline; Suitably accessible for beginners and suitably rigorous for experts; Features extensive four-color illustrations; Appendices featuring homework assignments and reading lists complement the material in the main text
This open access book focuses on both the theory and practice associated with the tools and approaches for decisionmaking in the face of deep uncertainty. It explores approaches and tools supporting the design of strategic plans under deep uncertainty, and their testing in the real world, including barriers and enablers for their use in practice. The book broadens traditional approaches and tools to include the analysis of actors and networks related to the problem at hand. It also shows how lessons learned in the application process can be used to improve the approaches and tools used in the design process. The book offers guidance in identifying and applying appropriate approaches and tools to design plans, as well as advice on implementing these plans in the real world. For decisionmakers and practitioners, the book includes realistic examples and practical guidelines that should help them understand what decisionmaking under deep uncertainty is and how it may be of assistance to them. Decision Making under Deep Uncertainty: From Theory to Practice is divided into four parts. Part I presents five approaches for designing strategic plans under deep uncertainty: Robust Decision Making, Dynamic Adaptive Planning, Dynamic Adaptive Policy Pathways, Info-Gap Decision Theory, and Engineering Options Analysis. Each approach is worked out in terms of its theoretical foundations, methodological steps to follow when using the approach, latest methodological insights, and challenges for improvement. In Part II, applications of each of these approaches are presented. Based on recent case studies, the practical implications of applying each approach are discussed in depth. Part III focuses on using the approaches and tools in real-world contexts, based on insights from real-world cases. Part IV contains conclusions and a synthesis of the lessons that can be drawn for designing, applying, and implementing strategic plans under deep uncertainty, as well as recommendations for future work. The publication of this book has been funded by the Radboud University, the RAND Corporation, Delft University of Technology, and Deltares.