Rapidly changing market, technological, and organizational environments are forcing government and private sector enterprises to improve services and transform processes. Employing a case study approach, the Enterprise Dynamics Sourcebook presents frameworks and analytical models of the enterprise as a complex system to improve your understanding of its dynamic elements and their interactions.
Illustrating the transformation environments and the evolution of methods required to address emerging challenges, this sourcebook is the product of MITRE-sponsored research on enterprise dynamics and the range of applications pertaining to enterprise transformation programs. It explains how to address the complexities involved with the coordination of policies, organizations, economics, and technology (POET) in operational strategies and processes. It also:
Presents qualitative and quantitative data-analytic methods including process workflow, systems dynamics, and highly optimized tolerance-inspired models of SoSE processes
Features Bayesian probability and state-space transition methods to address uncertainties in the controlled, influenced, and uncontrolled aspects of enterprise dynamics
Explains how to use hybrid multi-scale modeling coupled with enterprise architecture to support decision making in the design, acquisition, and management of complex transformation efforts
Outlines methods applicable in the national security, aviation, nuclear waste processing, international commerce, energy and materials, and healthcare sectors of the U.S. economy
The structures and concepts covered in this book will be useful to managers and technical staff in government entities as well as private sector enterprises with significant operational and regulatory interaction with government entities. The enterprise dynamics methods discussed can help in the advancement of systems engineering practices at the enterprise level and also enable the enterprise systems engineering and architecting (ESE/A) process.
Filled with examples, the text provides the understanding of the qualitative and quantitative data-analytic methods required to reduce risk and failure rates and enable your organization to operate effectively in today's complex and ever-changing environment.
Sprache
Verlagsort
Verlagsgruppe
Zielgruppe
Für Beruf und Forschung
Academic and Professional Practice & Development
Produkt-Hinweis
Illustrationen
111 s/w Abbildungen, 12 s/w Tabellen
12 Tables, black and white; 111 Illustrations, black and white
Maße
Höhe: 234 mm
Breite: 156 mm
Gewicht
ISBN-13
978-1-4200-8256-2 (9781420082562)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Klassifikation
Kenneth C. Hoffman is a senior principal systems engineer at The MITRE Corporation's Center for Connected Government. He earned a PhD in Systems Engineering from the Polytechnic Institute of Brooklyn and a BS in Mechanical Engineering from New York University. He is engaged in planning and analysis of energy, healthcare, and financial systems.Ken has over 40 years of experience in R&D and executive management in manufacturing and service organizations. He was chairman of the Department of Energy and Environment, and director of the National Center for Analysis of Energy Systems, at Brookhaven National Laboratory. He led the development of energy system-economic models and their application to national energy R&D planning. In addition he was engaged in R&D on energy and materials technology and was project engineer on experimental facilities including the Brookhaven Solar Neutrino Observatory. His career path from Brookhaven included executive management positions at the Mathtech Division of Mathematica Corporation (1980-1985) and (upon acquisition) at Martin Marietta Corporation (1985-1990), then to his current position at The MITRE Corporation, a not-for-profit organization that operates five federally funded research and development centers (FFRDCs). William J. Bunting is a principal information systems engineer at the MITRE Corporation's Center for Connected Government and earned a PhD in Information Technology from George Mason University and an MBA from the Wharton School of the University of Pennsylvania. He supports enterprise transformations in federal agencies involved in border management, immigration, and defense. He has over 30 years of experience in enterprise architecture, requirements engineering, and systems engineering. His focus has been on aligning technology investments to strategic goal attainment, effective use of enterprise architecture infor
FOUNDATIONS AND CONCEPTUAL FRAMEWORKS. Defining Enterprise and Transformation Challenges. From Systems Engineering to Enterprise Systems Engineering. Foundations of Enterprise Systems Engineering and Architecting. Enterprise Dynamics Methods and Models. Managing Enterprise Transformation Using ESE/A. ENTERPRISE MODELING APPROACHES AND APPLICATIONS. Simulation of Enterprise Architecture for a Business Strategy. Reasoning on Technology Uncertainties for Enterprise Transformation. Optimal Control and Differential Game Modeling of a Systems Engineering Process for Transformation. Hybrid Systems Dynamic, Petri Net, and Agent-Based Modeling of the Air and Space Operations Center. Nuclear Waste Management Strategic Framework for a Large-Scale Government Program. International Trade and Commerce: Enterprise Systems Engineering and Architecture in a Multiagency Environment. Energy and Materials Systems as an Enterprise Systems Engineering Application: Planning and Analysis for the Economy's Infrastructure. Modeling the Nation's Healthcare System as a Dynamic Enterprise. Epilogue: Enterprise Systems Engineering and Architecting-Lessons Learned and the Road Ahead. Acronyms. Bibliography.
