Performance Modeling of Automated Manufacturing Systems

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 Markov chains, queues and queuing networks, and petri nets. Table of Contents Preface. INTRODUCTION_Modeling Automated Manufacturing Systems. Performance Modeling Tools. Organization of the Book. Bibliographic Notes and Bibliography. AUTOMATED MANUFACTURING SYSTEMS_Introduction. Manufacturing Systems. Performance Measures. Computer-Controlled Machines. Material Handling Systems. Plant Layout. Flexible Manufacturing Systems. Computer Control Systems. Bibliographic Notes and Bibliography. MARKOV CHAIN MODELS_Memoryless Random Variables. Stochastic Processes in Manufacturing. Discrete Time Markov Chain Models. Continuous Time Markov Chain Models. An Markov Model of a Transfer Line. Birth and Death Processes in Manufacturing. Time Reversible Markov Chains in Manufacturing. Absorbing States and Modeling of Deadlocks. Semi-Markov Processes in Manufacturing. Transient Analysis of Manufacturing Systems. Computational Issues in Markov Analysis. Bibliographic Notes and Bibliography. QUEUING MODELS_ Notation and Examples. The M/M/1 Queue. The M/M/m Queue. Batch Arrival Queuing Systems. Queues with General Distributions. Queues with Breakdowns. Analysis of a Flexible Machine Centre. Queuing Networks. Open Queuing Networks. Closed Queuing Networks. Product Form Queuing Networks. Queuing Networks with Blocking. Approximate Analysis of Queuing Systems. Performabil