CRC Press Enterprise Dynamics Sourcebook

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,theEnterprise 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 processesFeatures Bayesian probability and state-space transition methods to address uncertainties in the controlled, influenced, and uncontrolled aspects of enterprise dynamicsExplains how to use hybrid multi-scale modeling coupled with enterprise architecture to support decision making in the design, acquisition, and management of complex transformation effortsOutlines methods applicable in the national security, aviation, nuclear waste processing, international commerce, energy and materials, and healthcare sectors of the U.S. economyThe 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. About the Author 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. Buntingis 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 exp