Book description
This book aims to help engineers, Masters students and young
researchers to understand and gain a general knowledge of logistic
systems optimization problems and techniques, such as system design,
layout, stock management, quality management, lot-sizing or
scheduling. It summarizes the evaluation and optimization methods used
to solve the most frequent problems. In particular, the authors also
emphasize some recent and interesting scientific developments, as well
as presenting some industrial applications and some solved instances
from real-life cases.
Performance evaluation tools (Petri nets,
the Markov process, discrete event simulation, etc.) and optimization
techniques (branch-and-bound, dynamic programming, genetic algorithms,
ant colony optimization, etc.) are presented first. Then, new
optimization methods are presented to solve systems design problems,
layout problems and buffer-sizing optimization. Forecasting methods,
inventory optimization, packing problems, lot-sizing quality
management and scheduling are presented with examples in the final chapters.