This handbook brings together diverse domains and technical competences of Model Based Systems Engineering (MBSE) into a single, comprehensive publication. It is intended for researchers, practitioners, and students/educators who require a wide-ranging and authoritative reference on MBSE with a multidisciplinary, global perspective. It is also meant for those who want to develop a sound understanding of the practice of systems engineering and MBSE, and/or who wish to teach both introductory and advanced graduate courses in systems engineering. It is specifically focused on individuals who want to understand what MBSE is, the deficiencies in current practice that MBSE overcomes, where and how it has been successfully applied, its benefits and payoffs, and how it is being deployed in different industries and across multiple applications. MBSE engineering practitioners and educators with expertise in different domains have contributed chapters that address various uses of MBSE and related technologies such as simulation and digital twin in the systems lifecycle. The introductory chapter reviews the current state of practice, discusses the genesis of MBSE and makes the business case. Subsequent chapters present the role of ontologies and meta-models in capturing system interdependencies, reasoning about system behavior with design and operational constraints; the use of formal modeling in system (model) verification and validation; ontology-enabled integration of systems and system-of-systems; digital twin-enabled model-based testing; system model design synthesis; model-based tradespace exploration; design for reuse; human-system integration; and role of simulation and Internet-of-Things (IoT) within MBSE.

DECISION MAKING IN SYSTEMS ENGINEERING AND MANAGEMENT A thoroughly updated overview of systems engineering management and decision making In the newly revised third edition of Decision Making in Systems Engineering and Management, the authors deliver a comprehensive and authoritative overview of the systems decision process, systems thinking, and qualitative and quantitative multi-criteria value modeling directly supporting decision making throughout the system lifecycle. This book offers readers major new updates that cover recently developed system modeling and analysis techniques and quantitative and qualitative approaches in the field, including effective techniques for addressing uncertainty. In addition to Excel, six new open-source software applications have been added to illustrate key topics, including SIPmath Modeler Tools, Cambridge Advanced Modeller, SystemiTool2.0, and Gephi 0.9.2. The authors have reshaped the book’s organization and presentation to better support educators engaged in remote learning. New appendices have been added to present extensions for a new realization analysis technique and getting started steps for each of the major software applications. Updated illustrative examples support modern system decision making skills and highlight applications in hardware, organizations, policy, logistic supply chains, and architecture. Readers will also find: Thorough introductions to working with systems, the systems engineering perspective, and systems thinking In-depth presentations of applied systems thinking, including holism, element dependencies, expansive and contractive thinking, and concepts of structure, classification, and boundaries Comprehensive explorations of system representations leading to analysis In-depth discussions of supporting system decisions, including the system decision process (SDP), tradespace methods, multi-criteria value modeling, working with stakeholders, and the system environment Perfect for undergraduate and graduate students studying systems engineering and systems engineering management, Decision Making in Systems Engineering and Management will also earn a place in the libraries of practicing system engineers and researchers with an interest in the topic.

Although usually well-funded, systems development projects are often late to market and over budget. Worse still, many are obsolete before they can be deployed or the program is cancelled before delivery. Clearly, it is time for a new approach. With coverage ranging from the complex characteristics and behaviors of enterprises to the challenges the

Modeling and simulation (M&S) based systems engineering (MSBSE) is the extension of MBSE, which enhances the value of MBSE and the ability of digitally evaluating and optimizing the whole system through comprehensive applications of M&S technologies. This book puts together the recent research in MSBSE, and hopefully this will provide the researchers and engineers with reference cases in M&S technologies to support the R&D of complex products and systems.

This book presents an overview of operations research and systems engineering and takes a look into both fields on content, histories, contributions, and future directions so a sound career choice can be made for those who might be deciding on a career path. The book also offers how these two fields can be integrated and used in current times and into the future. Operations Research and Systems Engineering: Growth and Transformation traces the history of both fields of research as well as offers comments on the importance of both areas of study. By taking a look back with a historical perspective and also looking forward with the presentation of applications currently being used, someone looking to make a sound career choice will be able to decide which area they want to move towards. The book also offers how to integrate both operations research methods with systems engineering concepts and tools and provides a comparison between the two, along with how they can work together in the future. The goal of this book is to provide the reader with enough information so they can move forward with their career goals. It is also an ideal book that provides engineers, scientists, and mathematicians with a way to broaden their knowledge and areas of study.

This book provides an overview of cost-effectiveness analysis, which is a well-known and intuitive method for defining and choosing among a set of alternatives. This book relates cost-effectiveness analysis to systems engineering to solve everyday problems at home and the office. It can also be used in technical processes, system design, and project management. Cost-Effectiveness Analysis: A Systems Engineering Perspective starts with providing an overview and background of cost-effectiveness analysis and how it’s used. It then goes on to discuss cost-effectiveness concerning systems engineering and links its use to resolving military issues and problems. The book comes to an end with exploring the usage related to systems architecting, re-engineering office systems, and comparing its use to everyday life decision-making scenarios. Targeted market includes general engineers, systems engineers, process engineers, project management, scientists, technologists, mathematicians, and lawyers.