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Introduction by Simon J. E. Taylor
In the realm of operational research OR, a multidisciplinary field deeply intertwined with management science, decision science, computer science, engineering, manufacturing, commerce, healthcare, and more, lies an innovative approach known as Agent-Based Modeling Simulation ABMS. This method has gned prominence in studying complex adaptive systems across various domns. The m of this book is to provide a comprehensive introduction to ABMS, bling contemporary perspectives with practical case studies that highlight its applications.
Overview
This collection encompasses a variety of insightful articles designed for readers seeking an understanding of ABMS's foundational concepts and advanced practices. Authored by experts from diverse disciplines, the contributions cover theoretical insights, methodological advancements, and real-world implementations in healthcare management, system dynamics, economics, business research, manufacturing operations, and military history.
The Operational Research Essentials series is dedicated to presenting high-quality research work that illuminates critical issues across a spectrum of OR topics. By integrating articles from the esteemed Operational Research Society's journals published by Palgrave Macmillan, this volume equip readers with a deep understanding of ABMS through both foundational and cutting-edge perspectives.
Content Structure
The book is organized into several chapters:
Editorial Introduction by Simon J. E. Taylor: Sets the stage for understanding ABMS's significance in contemporary research.
Chapter on Discrete-Event Simulation: Highlights its ongoing relevance and evolution.
Overview of Agent-Based Modeling Simulation: Provides a foundational understanding of what ABMS entls, including its origins, basic principles, and applications across various sectors.
Contemporary Applications in Healthcare Management Dr. Dr. Author's Name: Focuses on utilizing AB optimize systems within healthcare settings.
System Dynamics in Business Research Prof. Prof. Author's Name: Explores the integration of ABMS with system dynamics theory to analyze and predict business trs.
Economics Through ABMS Lens Dr. Dr. Author's Name: Discusses how ABMS can offer fresh insights into economic behaviors and policy implications.
Operations Research in Manufacturing Logistics Prof. Prof. Author's Name: Demonstrates the practical application of ABMS in optimizing manufacturing processes and supply chn logistics.
Military Strategy with ABMS Dr. Dr. Author's Name: Illustrates historical analysis using AB understand military strategies through computational simulation.
Each chapter provide not only theoretical insights but also case studies that highlight real-world applications, ensuring a holistic understanding of how ABMS can be leveraged in diverse fields.
Agent-based Modeling and Simulation: An Introduction to Emerging Systems in Operational Research is designed for researchers, practitioners, students, and policymakers who are interested in exploring the dynamic potential of ABMS. It serves as a bridge between theoretical frameworks and practical implementations across sectors, ming to foster interdisciplinary collaboration and innovation in operational research.
Acknowledgments
The compilation acknowledges contributions from esteemed scholars like Dr. Dr. Author's Name, Prof. Prof. Author's Name, and Dr. Dr. Author's Name, whose expertise enriches the content with diverse perspectives on ABMS applications.
Further Reading
For those seeking to delve deeper into specific areas of interest, the book encourages readers to explore further resources recommed at the .
This compilation is a testament to the evolving landscape of operational research, highlighting how modern computational techniques like agent-based modeling and simulation are reshaping our understanding and management of complex systems.
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Agent Based Modeling in Operational Research Emerging Systems Simulation Techniques Discrete Event Simulation Evolution Healthcare Management with ABMS Applications System Dynamics Theory Integration Economics Through Computational Simulation Lens