This book provides a comprehensive set of optimization and prediction
techniques for an enterprise information system. Readers with a
background in operations research, system engineering, statistics, or
data analytics can use this book as a reference to derive insight from
data and use this knowledge as guidance for production management. The
authors identify the key challenges in enterprise information management
and present results that have emerged from leading-edge research in this
domain. Coverage includes topics ranging from task scheduling and
resource allocation, to workflow optimization, process time and status
prediction, order admission policies optimization, and enterprise
service-level performance analysis and prediction. With its emphasis on
the above topics, this book provides an in-depth look at enterprise
information management solutions that are needed for greater automation
and reconfigurabilty-based fault tolerance, as well as to obtain
data-driven recommendations for effective decision-making.