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Rescheduling Under Disruptions in Manufacturing Systems = Models and Algorithms /

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Rescheduling Under Disruptions in Manufacturing Systems/ by Dujuan Wang, Yunqiang Yin, Yaochu Jin.
其他題名:	Models and Algorithms /
作者:	Wang, Dujuan.
其他作者:	Jin, Yaochu.
面頁冊數:	XI, 147 p. 15 illus., 11 illus. in color.online resource. :
Contained By:	Springer Nature eBook
標題:	Methodology of the Social Sciences. -
電子資源:	https://doi.org/10.1007/978-981-15-3528-4
ISBN:	9789811535284

Rescheduling Under Disruptions in Manufacturing Systems = Models and Algorithms /
Wang, Dujuan.

Rescheduling Under Disruptions in Manufacturing SystemsModels and Algorithms /[electronic resource] :by Dujuan Wang, Yunqiang Yin, Yaochu Jin. - 1st ed. 2020. - XI, 147 p. 15 illus., 11 illus. in color.online resource. - Uncertainty and Operations Research,2195-996X. - Uncertainty and Operations Research,.

Chapter 1 Introduction -- Chapter 2 Rescheduling on identical parallel machines in the presence of machine breakdowns -- Chapter 3 Parallel-machine rescheduling with job rejection in the presence of job unavailability -- Chapter 4 Rescheduling with controllable processing times and job rejection in the presence of new arrival jobs and deterioration eect -- Chapter 5 Rescheduling with controllable processing times and preventive maintenance in the presence of new arrival jobs and deterioration eect -- Chapter 6 A knowledge-based evolutionary proactive scheduling approach in the presence of ma-chine breakdown and deterioration eect.

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.

ISBN: 9789811535284

Standard No.: 10.1007/978-981-15-3528-4doiSubjects--Topical Terms:

669263
Methodology of the Social Sciences.

LC Class. No.: HB1-846.8

Dewey Class. No.: 330.1

Rescheduling Under Disruptions in Manufacturing Systems = Models and Algorithms /
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