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Rescheduling Under Disruptions in Manufacturing Systems - Models and Algorithms (Hardcover, 1st ed. 2020)
Loot Price: R2,789
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Rescheduling Under Disruptions in Manufacturing Systems - Models and Algorithms (Hardcover, 1st ed. 2020)
Series: Uncertainty and Operations Research
Expected to ship within 10 - 15 working days
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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.
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