Are you looking for read ebook online? Search for your book and save it on your Kindle device, PC, phones or tablets. Download Performance Modeling Of Automated Manufacturing Systems With Unreliable Machines And Random Processing Times PDF full book. Access full book title Performance Modeling Of Automated Manufacturing Systems With Unreliable Machines And Random Processing Times.
| Author | : Petro Yuanidis |
| Publisher | : |
| Total Pages | : 202 |
| Release | : 1992 |
| Genre | : Flexible manufacturing systems |
| ISBN | : |
| Author | : VISWANADHAM, N. |
| Publisher | : PHI Learning Pvt. Ltd. |
| Total Pages | : 608 |
| Release | : 2015-06-01 |
| Genre | : Technology & Engineering |
| ISBN | : 8120308700 |
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.
| Author | : N. Viswanadham |
| Publisher | : |
| Total Pages | : 592 |
| Release | : 1992 |
| Genre | : Flexible manufacturing systems |
| ISBN | : |
| Author | : George Liberopoulos |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 363 |
| Release | : 2005-12-12 |
| Genre | : Business & Economics |
| ISBN | : 3540290575 |
Manufacturing systems rarely perform exactly as expected and predicted. Unexpected events, such as order changes, equipment failures and product defects, affect the performance of the system and complicate decision-making. This volume is devoted to the development of analytical methods aiming at responding to variability in a way that limits its corrupting effects on system performance. The book includes fifteen novel chapters that mostly focus on the development and analysis of performance evaluation models of manufacturing systems using decomposition-based methods, Markovian and queuing analysis, simulation, and inventory control approaches. They are organized into four distinct sections to reflect their shared viewpoints: factory design, unreliable production lines, queuing network models, production planning and assembly.
| Author | : Guy L. Curry |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 350 |
| Release | : 2010-11-10 |
| Genre | : Technology & Engineering |
| ISBN | : 3642166180 |
This text presents the practical application of queueing theory results for the design and analysis of manufacturing and production systems. This textbook makes accessible to undergraduates and beginning graduates many of the seemingly esoteric results of queueing theory. In an effort to apply queueing theory to practical problems, there has been considerable research over the previous few decades in developing reasonable approximations of queueing results. This text takes full advantage of these results and indicates how to apply queueing approximations for the analysis of manufacturing systems. Support is provided through the web site http://msma.tamu.edu. Students will have access to the answers of odd numbered problems and instructors will be provided with a full solutions manual, Excel files when needed for homework, and computer programs using Mathematica that can be used to solve homework and develop additional problems or term projects. In this second edition a separate appendix dealing with some of the basic event-driven simulation concepts has been added.
| Author | : Andrea Matta |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 296 |
| Release | : 2005-04-25 |
| Genre | : Business & Economics |
| ISBN | : 9781402029301 |
This book presents a framework and specific methods and tools for the selection and configuration of the capacity of Advanced Manufacturing Systems (AMS). AMS include Flexible Manufacturing Systems, Dedicated Manufacturing Systems, and Reconfigurable Manufacturing Systems. Starting from the characteristic of the competitive environment, the directions given by the company strategy, data regarding the products, and information regarding the different system architectures, the decision support system described here aids the decision maker by means of a formalized methodology that follows the various steps required to define the type and timing of 'capacity' acquisition and to define the detailed configuration of AMS along its life cycle. The decision making framework and tools illustrated in this volume combine decision-making theory, optimization theory, discrete event simulation and queuing networks. It will be of interest to graduate students and researchers involved in manufacturing engineering, industrial engineering and operations research.
| Author | : Edward P.C. Kao |
| Publisher | : Courier Dover Publications |
| Total Pages | : 451 |
| Release | : 2019-12-18 |
| Genre | : Computers |
| ISBN | : 0486837920 |
This incorporation of computer use into teaching and learning stochastic processes takes an applications- and computer-oriented approach rather than a mathematically rigorous approach. Solutions Manual available to instructors upon request. 1997 edition.
| Author | : Paolo Brandimarte |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 221 |
| Release | : 2013-03-09 |
| Genre | : Technology & Engineering |
| ISBN | : 3662038536 |
Advanced modeling techniques are a necessary tool in order to design and manage manufacturing systems effectively. This book contains a set of tutorial chapters on topics ranging from aggregate production planning to real time control, including predictive and reactive scheduling, flow management in assembly systems, simulation of robotic cells, design of manufacturing systems under uncertainty and a historical perspective on production management philosophies. The book will be of interest both to researchers and practitioners, including graduate students in Manufacturing Engineering and Operations Research.
| Author | : Tayfur Altiok |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 372 |
| Release | : 1997 |
| Genre | : Business & Economics |
| ISBN | : 0387947736 |
The past two decades have seen a great deal of research into the stochastic modelling of production, manufacturing, and inventory systems for the purpose of improving their performance. This book provides a graduate-level introduction to these techniques covering exact, approximate, and numerical techniques. The author has aimed to strike a balance between theoretical issues and the practical aspects of modelling manufacturing systems. It is based on graduate courses given to operations research and industrial engineering students and includes numerous examples and exercises.
| Author | : Alan A. Desrochers |
| Publisher | : |
| Total Pages | : 392 |
| Release | : 1990 |
| Genre | : Business & Economics |
| ISBN | : |
