Simio and Simulation - Modeling, Analysis, Applications - 7th Edition

This seventh edition explains how to use simulation to make better business decisions in application domains from healthcare to mining, heavy manufacturing to supply chains, and everything in between. If you are looking for the sixth edition, you can find it at https://textbook.simio.com/SASMAA6. This book is written to help both technical and non-technical users better understand the concepts and usefulness of simulation. It can be used in a classroom environment or in support of independent study. Modern software makes simulation more useful and accessible than ever and this book illustrates simulation concepts with Simio (R), a leader in simulation software.

This edition is written for Simio Version 17.261 or later — the technical content, figures, and examples have been updated to adjust for 3 years of new releases. We continued the 6th edition change in format and distribution — we now distribute this updated book in a free online format to make it accessible to everyone. We have incorporated many new features. We updated the Simulation-based Scheduling in Industry 4.0 chapter, with a real-life case study with associated homework. And we have added a comprehensive chapter on AI-enabled Simulation Modeling including sections on AI’s role in digital twins, deep learning and intelligent dispatching with neural networks. End-of-chapter problems have been improved and expanded, and we have incorporated many reader suggestions. We have reorganized the material for an improved flow, and have updates throughout the book for many of the new Simio features recently added.

This book can serve as the primary text in first and second courses in simulation at both the undergraduate and beginning-graduate levels. It is written in an accessible tutorial-style writing approach centered on specific examples rather than general concepts and covers a variety of applications including an international flavor. Our experience has shown that these characteristics make the text easier to read and absorb, as well as appealing to students from many different cultural and applications backgrounds.

Jeffrey S. Smith is the Vice President of Training and Academic Programs for Simio and Professor Emeritus at Auburn University. He was formerly the Joe W. Forehand Professor of Industrial and Systems Engineering at Auburn, a Technical Fellow at Simio LLC, and a founding partner of Conflexion, LLC. Prior to his faculty position at Auburn, he was an Associate Professor of Industrial Engineering at Texas A\&M University. In addition to his academic positions, Dr, Smith has held professional engineering positions with Electronic Data Systems (EDS) and Philip Morris USA. Dr. Smith has a BS in Industrial Engineering from Auburn University and MS and PhD degrees in Industrial Engineering from The Pennsylvania State University.

Dr. Smith has served on the editorial boards of the _Journal of Manufacturing Systems_ and _Simulation_, and his research work has been funded by the Defense Advanced Research Projects Agency (DARPA), NASA, the National Science Foundation (NSF), Sandia National Laboratories, SEMATECH, the USDA, and the FHWA. His industrial partners on sponsored research include Alcoa, BRP, DaimlerChrysler, Siemens VDO, Continental, Rockwell Software, Systems Modeling Corporation, JC Penney, Fairchild Semiconductor, IBM, Nacom Industries, UPS, and the United States Tennis Association (USTA). Dr. Smith has served on several national conference committees, was the General Chair for the 2004 Winter Simulation Conference, and was on the Winter Simulation Conference Board of Directors from 2010 through 2020. Dr. Smith is a Fellow of the Institute of Industrial and Systems Engineers (IISE) and a member of INFORMS.

David T. Sturrock co-founded and is now a Technical Fellow for Simio LLC. Until recently he was Vice-president of Products, responsible for development, support, training, and services for Simio LLC. In that role he managed new product development, taught frequent commercial courses, and managed a variety of consulting projects. He currently teaches simulation classes as a Field Faculty member at the University of Pittsburgh. With over 45 years of experience, he has applied simulation techniques in the areas of manufacturing, transportation systems, scheduling, high-speed processing, plant layout, business processes, call centers, capacity analysis, process design, health care, plant commissioning, and real-time control. He received his bachelor’s degree in industrial engineering from The Pennsylvania State University with concentrations in manufacturing and automation and received the 2020 Outstanding Engineering Alumni Award.

David began his career at Inland Steel Company as a plant industrial engineer. During a time of industry consolidation, he built an innovative simulation/scheduling group to improve company-wide effectiveness and efficiency. This effort was so successful that it was expanded to also assist the steelmaker’s suppliers and customers. He subsequently joined Systems Modeling as a development lead for SIMAN and Arena products, then joined Rockwell Automation as the Product Manager for Rockwell’s entire suite of simulation and emulation products. He is an ardent promoter of simulation, having had speaking engagements in over 40 countries across six continents. David is a member of the Institute of Industrial and Systems Engineers (IISE), APICS/ASCM, INFORMS, and other professional groups. He is also a co-author of four simulation textbooks, and a Rotarian who volunteers with Junior Achievement (JA), BPeace, ShelterBox, and local organizations

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