William T. Scherer – författare
How to Do Systems Analysis
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This book focuses on systems analysis, broadly defined to also include problem formulation and interpretation of proposed alternatives in terms of the value systems of stakeholders. Therefore, the book is a complement, not a substitute to other books when teaching systems engineering and systems analysis. The nature of problem solving discussed in this book is appropriate to a wide range of systems analyses. Thus the book can be used as a stand-alone book for teaching the analysis of systems. Also unique is the inclusion of broad case studies to stress problem solving issues, making How to Do Systems Analysis a complement to the many fine works in systems engineering available today.
Intelligent Scheduling Systems
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Presents the foundational systemic thinking needed to conceive systems that address complex socio-technical problems
This book emphasizes the underlying systems analysis components and associated thought processes. The authors describe an approach that is appropriate for complex systems in diverse disciplines complemented by a case-based pedagogy for teaching systems analysis that includes numerous cases that can be used to teach both the art and methods of systems analysis.
Covers the six major phases of systems analysis, as well as goal development, the index of performance, evaluating candidate solutions, managing systems teams, project management, and more Presents the core concepts of a general systems analysis methodology Introduces, motivates, and illustrates the case pedagogy as a means of teaching and practicing systems analysis concepts Provides numerous cases that challenge readers to practice systems thinking and the systems methodologyHow to Do Systems Analysis: Primer and Casebook is a reference for professionals in all fields that need systems analysis, such as telecommunications, transportation, business consulting, financial services, and healthcare. This book also serves as a textbook for undergraduate and graduate students in systems analysis courses in business schools, engineering schools, policy programs, and any course that promotes systems thinking.
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Presents the foundational systemic thinking needed to conceive systems that address complex socio-technical problems
This book emphasizes the underlying systems analysis components and associated thought processes. The authors describe an approach that is appropriate for complex systems in diverse disciplines complemented by a case-based pedagogy for teaching systems analysis that includes numerous cases that can be used to teach both the art and methods of systems analysis.
Covers the six major phases of systems analysis, as well as goal development, the index of performance, evaluating candidate solutions, managing systems teams, project management, and more Presents the core concepts of a general systems analysis methodology Introduces, motivates, and illustrates the case pedagogy as a means of teaching and practicing systems analysis concepts Provides numerous cases that challenge readers to practice systems thinking and the systems methodologyHow to Do Systems Analysis: Primer and Casebook is a reference for professionals in all fields that need systems analysis, such as telecommunications, transportation, business consulting, financial services, and healthcare. This book also serves as a textbook for undergraduate and graduate students in systems analysis courses in business schools, engineering schools, policy programs, and any course that promotes systems thinking.
Intelligent Scheduling Systems
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This volume chronicles the 16th Annual Conference on System Engineering Research (CSER) held on May 8-9, 2018 at the University of Virginia, Charlottesville, Virginia, USA. The CSER offers researchers in academia, industry, and government a common forum to present, discuss, and influence systems engineering research. It provides access to forward‐looking research from across the globe, by renowned academicians as well as perspectives from senior industry and government representatives. Co‐founded by the University of Southern California and Stevens Institute of Technology in 2003, CSER has become the preeminent event for researchers in systems engineering across the globe.
Topics include though are not limited to the following:
Systems in context:
· Formative methods: requirements
· Integration, deployment, assurance· Human Factors
· Safety and Security
Decisions/ Control & Design; Systems Modeling:
· Optimization, Multiple Objectives, Synthesis· Risk and resiliency
· Collaborative autonomy
· Coordination and distributed decision-making
Prediction:
· Prescriptive modeling; state estimation
· Stochastic approximation, stochastic optimization and control
Integrative Data engineering:
· Sensor Management· Design of Experiments