Real-Time Simulation and Production Scheduling Systems (Classic Reprint)
Idioma: inglés
Editorial: Forgotten Books, 2024
- Tapa blanda
- Nuevo
Librería: Forgotten Books, London, Reino UnidoForgotten Books
Vendedor de IberLibro desde 2 de junio de 2021
Condición: Nuevo
EUR 15,71
Cantidad disponible: Más de 20 disponibles
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Print on Demand. This book explores the use of real-time simulations for more effective production scheduling in flexible manufacturing systems (FMS). The author, a leading expert in this field, argues that traditional scheduling techniques are inadequate for dealing with the unexpected delays and dynamic nature of FMS. The book presents a novel approach that utilizes concurrent simulations initialized to the current system state, allowing for real-time scheduling decisions. Detailed discussions on data requirements, statistical analysis, and optimization methods provide a comprehensive guide for implementing this approach in practice. The book's insights offer a significant contribution to the field of FMS scheduling, empowering manufacturers to optimize their production processes, reduce costs, and enhance overall efficiency. This book is a reproduction of an important historical work, digitally reconstructed using state-of-the-art technology to preserve the original format. In rare cases, an imperfection in the original, such as a blemish or missing page, may be replicated in the book.…
N° de ref. del artículo 9781527913783_0
- Título
- Real-Time Simulation and Production Scheduling Systems (Classic Reprint)
- Autor
- Wayne J. Davis, Albert T. Junes
- Editorial
- Forgotten Books
- Año de publicación
- 2024
- Estado
- New
- Tipo de libro
- print-on-demand item
- Encuadernación
- Paperback
- Idioma
- inglés
- ISBN 10
- 1527913783
- ISBN 13
- 9781527913783
- Catálogos de vendedores
- Statistics
Flexible Manufacturing Systems (fms) have been installed in numerous factories around the world. Production scheduling is the function responsible for assigning fms resources to various manufacturing tasks. Efficient use of these resources is critical to a company's goal of increased profits. In fact, poor scheduling decisions tend to reduce profits because they increase idle time on machines, cause bottlenecks on the shop floor, and push customer orders past their due date.
Mathematical programming approaches to solving the scheduling problem have received considerable attention in the literature. Graves [gra81] and Raman [ram85] have provided excellent surveys on these techniques. However, these techniques tend to have prohibitive computational requirements and restrictive assumptions. Another major drawback to these approaches is that they typically do not include material handling constraints. Discrete event simulation, expert systems, and other heuristics [mil86, nor86, jac86] are other methods used to generate schedules. While simulation and expert systems packages allow the manufacturing system to be modelled to any level of detail, they still have unacceptable computational requirements. In addition, all of these methods generate feasible solutions with no measure of optimality. These undesirable properties tend to limit the applicability of all these approaches in a real fms environment.
There are two other major drawbacks to all of the aforementioned approaches. First, they are all run off-line usually once or twice a day. Consequently, they are not able to respond quickly to unexpected events in the fms. These events are usually handled on an ad hoc basis by the fms supervisor with little understanding of the impact of his decisions on the overall schedule. Second, they do not take advantage of the vast amount of real-time shop floor data provided by fms computer systems.
Davis and Jones [dav88] have proposed an algorithm for real time production scheduling (see Figure l). The algorithm first selects R candidate scheduling alternatives and L performance indices to be used in evaluating those alternatives. Both selections based on actual shop floor data and are subject to continuous modification as the system evolves over time. Oh-line, concurrent, Monte Carlo simulations are run, in real - time, to evaluate the performance of these rules. This type of simulation analysis introduces four problems which typically are not addressed in the simulation literature.
About the Publisher
Forgotten Books publishes hundreds of thousands of rare and classic books. Find more at www.forgottenbooks.com
This book is a reproduction of an important historical work. Forgotten Books uses state-of-the-art technology to digitally reconstruct the work, preserving the original format whilst repairing imperfections present in the aged copy. In rare cases, an imperfection in the original, such as a blemish or missing page, may be replicated in our edition. We do, however, repair the vast majority of imperfections successfully; any imperfections that remain are intentionally left to preserve the state of such historical works.
“Sinopsis” puede pertenecer a otra edición de este título.
Reseña del editor
Flexible Manufacturing Systems (fms) have been installed in numerous factories around the world. Production scheduling is the function responsible for assigning fms resources to various manufacturing tasks. Efficient use of these resources is critical to a company's goal of increased profits. In fact, poor scheduling decisions tend to reduce profits because they increase idle time on machines, cause bottlenecks on the shop floor, and push customer orders past their due date.
Mathematical programming approaches to solving the scheduling problem have received considerable attention in the literature. Graves [gra81] and Raman [ram85] have provided excellent surveys on these techniques. However, these techniques tend to have prohibitive computational requirements and restrictive assumptions. Another major drawback to these approaches is that they typically do not include material handling constraints. Discrete event simulation, expert systems, and other heuristics [mil86, nor86, jac86] are other methods used to generate schedules. While simulation and expert systems packages allow the manufacturing system to be modelled to any level of detail, they still have unacceptable computational requirements. In addition, all of these methods generate feasible solutions with no measure of optimality. These undesirable properties tend to limit the applicability of all these approaches in a real fms environment.
There are two other major drawbacks to all of the aforementioned approaches. First, they are all run off-line usually once or twice a day. Consequently, they are not able to respond quickly to unexpected events in the fms. These events are usually handled on an ad hoc basis by the fms supervisor with little understanding of the impact of his decisions on the overall schedule. Second, they do not take advantage of the vast amount of real-time shop floor data provided by fms computer systems.
Davis and Jones [dav88] have proposed an algorithm for real time production scheduling (see Figure l). The algorithm first selects R candidate scheduling alternatives and L performance indices to be used in evaluating those alternatives. Both selections based on actual shop floor data and are subject to continuous modification as the system evolves over time. Oh-line, concurrent, Monte Carlo simulations are run, in real - time, to evaluate the performance of these rules. This type of simulation analysis introduces four problems which typically are not addressed in the simulation literature.
About the Publisher
Forgotten Books publishes hundreds of thousands of rare and classic books. Find more at www.forgottenbooks.com
This book is a reproduction of an important historical work. Forgotten Books uses state-of-the-art technology to digitally reconstruct the work, preserving the original format whilst repairing imperfections present in the aged copy. In rare cases, an imperfection in the original, such as a blemish or missing page, may be replicated in our edition. We do, however, repair the vast majority of imperfections successfully; any imperfections that remain are intentionally left to preserve the state of such historical works.
“Acerca de” puede pertenecer a otra edición de este título.
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Forgotten Books’ Classic Reprint Series utilizes the latest technology to regenerate facsimiles of historically important writings. Careful attention has been made to accurately preserve the original format of each page whilst digitally enhancing the quality of the aged text.
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