The text is designed for engineering students at the senior undergraduate level and first-year students at graduate level, and professionals (R&D engineers in the industry and factory managers). The authors offer a unique effort in presenting a unified and systematic treatment of various modeling methodologies and analysis techniques for performance evaluation of automated manufacturing systems. The text begins with an overview of automated manufacturing systems, and then provides a clear and comprehensive discussion of three principal analytical modeling paradigms: Markov Chains, Queues and Queuing Networks, and Petri Nets.

Salient Features

• Present the first ever treatment of the mathematical modeling of manufacturing systems.

• Offers a unified study of principal analytical modeling paradigms for automated manufacturing systems.

• Discusses many recent research contributions in the area of modeling of automated manufacturing systems.

• Discusses many recent research contributions in the area of modeling of automated manufacturing systems, including deadlock modeling, transient analysis, queuing network approximations, Petri Net modeling, and integrated analytical modeling.

• Provides a large number of exercises and problems.