  To maximize its value, the design, development and implementation of
Structural Health Monitoring (SHM) should focus on its role in facilitating
decision support. In this position paper, we offer perspectives on the synergy
between SHM and decision-making. We propose a classification of SHM use cases
aligning with various dimensions that are closely linked to the respective
decision contexts. The types of decisions that have to be supported by the SHM
system within these settings are discussed along with the corresponding
challenges. We provide an overview of different classes of models that are
required for integrating SHM in the decision-making process to support
management and operation and maintenance of structures and infrastructure
systems. Fundamental decision-theoretic principles and state-of-the-art methods
for optimizing maintenance and operational decision-making under uncertainty
are briefly discussed. Finally, we offer a viewpoint on the appropriate course
of action for quantifying, validating and maximizing the added value generated
by SHM. This work aspires to synthesize the different perspectives of the SHM,
Prognostic Health Management (PHM), and reliability communities, and deliver a
roadmap towards monitoring-based decision support.
