Manufacturing Systems Modeling and Analysis (PDF)

Guy L. Curry is a Professor of Industrial and Systems Engineering at Texas A&M University. He received B.S. and M.S. degrees in mathematics from the University of Oklahoma and Wichita State University, respectively, and a Ph.D. in industrial engineering from the University of Arkansas. Prior to joining Texas A&M University, he was an operations research analyst with the Boeing and Sun Oil. He has received several research and teaching awards and co-authored three books. Dr. Curry teaches courses in simulation, optimization, and production /manufacturing systems. His current research interests include modeling and analysis techniques for production and manufacturing systems.



Richard M. Feldman is a Professor of Industrial and Systems Engineering at Texas A&M University. He received a B.A. degree in mathematics from Hope College, an M.S. degree in mathematics from Michigan State University, an M.S. degree in Industrial and System Engineering from Ohio University, and a Ph.D. in Industrial Engineering from Northwestern University. His teaching interests include simulation, applied probability, and queueing theory. His consulting and funded research activities have involved modeling and simulation within manufacturing, transportation, and biological contexts. He has received several teaching awards, published papers in applied probability and queueing theory, and co-authored four books.

From the reviews:

“This textbook is intended for undergraduate and master students mainly in engineering and (lesser) in mathematical sciences. The prerequisite for students are elementary calculus based probability and statistics. The book is devoted to modeling of stochastic processes describing a wide class of manufacturing systems, and the basis methodology is well-developed queueing theory.” (Evsei Morozov, Zentralblatt MATH, Vol. 1170, 2009)