1# Library to Find Best eBook for Read
Author : Christian Bierwirth
Release : 1999
Genre :
Kind : eBook
Book Rating : /5 ( reviews)
Book Synopsis Production Scheduling and Rescheduling with Genetic Algorithms by : Christian Bierwirth
Download or read book Production Scheduling and Rescheduling with Genetic Algorithms written by Christian Bierwirth. This book was released on 1999. Available in PDF, EPUB and Kindle. Book excerpt:
Author :
Release : 2013-07-01
Genre : Business & Economics
Kind : eBook
Book Rating : 388/5 ( reviews)
Book Synopsis Efficient Production Planning and Scheduling by :
Download or read book Efficient Production Planning and Scheduling written by . This book was released on 2013-07-01. Available in PDF, EPUB and Kindle. Book excerpt: Patricia Shiroma explores the possibility of combining genetic algorithms with simulation studies in order to generate efficient production schedules for parallel manufacturing processes. The result is a flexible, highly effective production scheduling system.
Author : Tapan P. Bagchi
Release : 2012-12-06
Genre : Business & Economics
Kind : eBook
Book Rating : 370/5 ( reviews)
Book Synopsis Multiobjective Scheduling by Genetic Algorithms by : Tapan P. Bagchi
Download or read book Multiobjective Scheduling by Genetic Algorithms written by Tapan P. Bagchi. This book was released on 2012-12-06. Available in PDF, EPUB and Kindle. Book excerpt: Multiobjective Scheduling by Genetic Algorithms describes methods for developing multiobjective solutions to common production scheduling equations modeling in the literature as flowshops, job shops and open shops. The methodology is metaheuristic, one inspired by how nature has evolved a multitude of coexisting species of living beings on earth. Multiobjective flowshops, job shops and open shops are each highly relevant models in manufacturing, classroom scheduling or automotive assembly, yet for want of sound methods they have remained almost untouched to date. This text shows how methods such as Elitist Nondominated Sorting Genetic Algorithm (ENGA) can find a bevy of Pareto optimal solutions for them. Also it accents the value of hybridizing Gas with both solution-generating and solution-improvement methods. It envisions fundamental research into such methods, greatly strengthening the growing reach of metaheuristic methods. This book is therefore intended for students of industrial engineering, operations research, operations management and computer science, as well as practitioners. It may also assist in the development of efficient shop management software tools for schedulers and production planners who face multiple planning and operating objectives as a matter of course.
Author : Dirk C. Mattfeld
Release : 2013-04-17
Genre : Business & Economics
Kind : eBook
Book Rating : 126/5 ( reviews)
Book Synopsis Evolutionary Search and the Job Shop by : Dirk C. Mattfeld
Download or read book Evolutionary Search and the Job Shop written by Dirk C. Mattfeld. This book was released on 2013-04-17. Available in PDF, EPUB and Kindle. Book excerpt: Production scheduling dictates highly constrained mathematical models with complex and often contradicting objectives. Evolutionary algorithms can be formulated almost independently of the detailed shaping of the problems under consideration. As one would expect, a weak formulation of the problem in the algorithm comes along with a quite inefficient search. This book discusses the suitability of genetic algorithms for production scheduling and presents an approach which produces results comparable with those of more tailored optimization techniques.
Author : Dujuan Wang
Release : 2020-03-11
Genre : Business & Economics
Kind : eBook
Book Rating : 280/5 ( reviews)
Book Synopsis Rescheduling Under Disruptions in Manufacturing Systems by : Dujuan Wang
Download or read book Rescheduling Under Disruptions in Manufacturing Systems written by Dujuan Wang. This book was released on 2020-03-11. Available in PDF, EPUB and Kindle. Book excerpt: This book provides an introduction to the models, methods, and results of some rescheduling problems in the presence of unexpected disruption events, including job unavailability, arrival of new jobs, and machine breakdown. The occurrence of these unexpected disruptions may cause a change in the planned schedule, which may render the originally feasible schedule infeasible. Rescheduling, which involves adjusting the original schedule to account for a disruption, is necessary in order to minimize the effects of the disruption on the performance of the system. This involves a trade-off between finding a cost-effective new schedule and avoiding excessive changes to the original schedule. This book views scheduling theory as practical theory, and it has made sure to emphasize the practical aspects of its topic coverage. Thus, this book considers some scenarios existing in most real-world environments, such as preventive machine maintenance, and deteriorating effect where the actual processing time of a job gets longer along with machine’s usage and age. To alleviate the effect of disruption events, some flexible strategies are adopted, including allocation extra resources to reduce job processing times or rejection the production of some jobs. For each considered scenario, depending on the model settings and on the disruption events, this book addresses the complexity, and the design of efficient exact or approximated algorithms. Especially when optimization methods and analytic tools fall short, this book stresses metaheuristics including improved elitist non-dominated sorting genetic algorithm and differential evolution algorithm. This book also provides extensive numerical studies to evaluate the performance of the proposed algorithms. The problem of rescheduling in the presence of unexpected disruption events is of great importance for the successful implementation of real-world scheduling systems. There is now an astounding body of knowledge in this field. This book is the first monograph on rescheduling. It aims at introducing the author's research achievements in rescheduling. It is written for researchers and Ph.D. students working in scheduling theory and other members of scientific community who are interested in recent scheduling models. Our goal is to enable the reader to know about some new achievements on this topic.
