Rescheduling Under Disruptions in Manufacturing Systems Rescheduling Under Disruptions in Manufacturing Systems
Uncertainty and Operations Research

Rescheduling Under Disruptions in Manufacturing Systems

Models and Algorithms

Dujuan Wang and Others
    • $84.99
    • $84.99

Publisher Description

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.

GENRE
Business & Personal Finance
RELEASED
2020
March 11
LANGUAGE
EN
English
LENGTH
158
Pages
PUBLISHER
Springer Nature Singapore
SELLER
Springer Nature B.V.
SIZE
9.9
MB

More Books Like This

Just-in-Time Systems Just-in-Time Systems
2011
Multicriteria Scheduling Multicriteria Scheduling
2006
Multiagent Scheduling Multiagent Scheduling
2014
Supply Chain Scheduling Supply Chain Scheduling
2022
Operations Research Proceedings 2019 Operations Research Proceedings 2019
2020
Advances in Optimization and Decision Science for Society, Services and Enterprises Advances in Optimization and Decision Science for Society, Services and Enterprises
2020

More Books by Dujuan Wang, Yunqiang Yin & Yaochu Jin

Other Books in This Series

Social Network Large-Scale Decision-Making Social Network Large-Scale Decision-Making
2023
Proceedings of the Tenth International Forum of Decision Sciences Proceedings of the Tenth International Forum of Decision Sciences
2023
Large-Scale Group Decision-Making with Uncertain and Behavioral Considerations Large-Scale Group Decision-Making with Uncertain and Behavioral Considerations
2023
Capacity Allocation Mechanisms and Coordination in Supply Chain Under Demand Competition Capacity Allocation Mechanisms and Coordination in Supply Chain Under Demand Competition
2022
Reliability Optimization of Urban Logistics Systems Reliability Optimization of Urban Logistics Systems
2022
Techniques of Decision Making, Uncertain Reasoning and Regression Analysis Under the Hesitant Fuzzy Environment and Their Applications Techniques of Decision Making, Uncertain Reasoning and Regression Analysis Under the Hesitant Fuzzy Environment and Their Applications
2021