We review the literature on executing production schedules in the presence of unforeseen
disruptions on the shop floor. We discuss a number of issues related to problem formulation …

The use of intelligent techniques in the manufacturing field has been growing the last
decades due to the fact that most manufacturing optimization problems are combinatorial …

This book is a comprehensive introduction to model predictive control (MPC), including its
basic principles and algorithms, system analysis and design methods, strategy …

Production scheduling is the central link between enterprise production and operation
management and is also the key to realising efficient, high-quality and sustainable …

Many manufacturing facilities generate and update production schedules, which are plans
that state when certain controllable activities (eg, processing of jobs by resources) should …

The generic denomination of 'Memetic Algorithms'(MAs) is used to encompass a broad class
of metaheuristics (ie, general purpose methods aimed to guide an underlying heuristic). The …

Dynamic flexible job shop scheduling problem is studied under the events such as new
order arrivals, changes in due dates, machine breakdowns, order cancellations, and …

Production scheduling greatly contributes to optimising the allocation of processes, reducing
resource and energy consumption, lowering production costs and alleviating environmental …

Genetic algorithms (GAs) have been widely applied to the scheduling and sequencing
problems due to its applicability to different domains and the capability in obtaining near …

Rising energy prices, increasing fierce competition, new environmental legislation and
concerns over climate change are forcing energy-intensive manufacturing enterprises to …