Decision-making in supply chains is challenged by high complexity, a combination of
continuous and discrete processes, integrated and interdependent operations, dynamics …

Industry 4.0 is the new industrial revolution. By connecting every machine and activity
through network sensors to the Internet, a huge amount of data is generated. Machine …

There is no doubt that big data are now rapidly expanding in all science and engineering
domains. While the potential of these massive data is undoubtedly significant, fully making …

Decision-making for engineering systems management can be efficiently formulated using
Markov Decision Processes (MDPs) or Partially Observable MDPs (POMDPs). Typical …

This monograph presents a new framework for learning-based control synthesis of
continuous-time dynamical systems with unknown dynamics. The new design paradigm …

Firms increasingly deploy algorithmic pricing approaches to determine what to charge for
their goods and services. Algorithmic pricing can discriminate prices both dynamically over …

Reinforcement learning is bedeviled by the curse of dimensionality: the number of
parameters to be learned grows exponentially with the size of any compact encoding of a …

Preventive maintenance and production scheduling are two important and interactive
activities in production systems. In this work, the integrated optimization problem of …

Reinforcement learning (RL) is one of the most remarkable branches of machine learning
and attracts the attention of researchers from numerous fields. Especially in recent years, the …

This book is written for students and researchers in the field of industrial engineering,
computer science, operations research, management science, electrical engineering, and …