The computerized simulations of physical and socio-economic systems have proliferated in
the past decade, at the same time, the capability to develop high-fidelity system predictive …

The ability to understand and explain the outcomes of data analysis methods, with regard to
aiding decision-making, has become a critical requirement for many applications. For …

We are performing the digital transition of industry, living the 4th industrial revolution,
building a new World in which the digital, physical and human dimensions are interrelated in …

Sensitivity analysis (SA) is en route to becoming an integral part of mathematical modeling.
The tremendous potential benefits of SA are, however, yet to be fully realized, both for …

Resilience enables supply chains to reduce their proneness to disruptions and recover
faster. Many existing strategies to strengthen the resilience of supply chains are facilitated by …

Addressing the impacts and risks associated with observed and projected climate change
(Chapter 16) is fundamentally and intricately tied to the decision-making options available to …

Risk assessment and management was established as a scientific field some 30–40 years
ago. Principles and methods were developed for how to conceptualise, assess and manage …

This paper proposes a joint-optimization framework for UAV-routing and UAV-route
scheduling problems associated with the UAV-assisted delivery system. The mixed-integer …

Metamodeling is becoming a rather popular means to approximate the expensive
simulations in today's complex engineering design problems since accurate metamodels …

Sensitivity Analysis (SA) investigates how the variation in the output of a numerical model
can be attributed to variations of its input factors. SA is increasingly being used in …