Background: The COVID-19 was a determining factor in the disruption of supply chains in the automotive industry, exacerbating material shortages. This led to increased supplier order cancelations, longer lead times, and reduced safety inventory levels. Methods: This study analyzes and models...

The book begins with cellular automata and their role in improving the strategic alignment of business and IT. It also presents research and practical insights for database designers and developers looking to utilise AI, insights into the societal dynamics shaping the adoption of microchip...

Modern cargo vessel transport constitutes an important part of global economy; hence it is of paramount importance to develop novel, more efficient reliability methods for cargo ships, especially if onboard recorded data is available. Classic reliability methods, dealing with timeseries, do not...

We develop a novel analytical method for studying optimal paths in dynamic optimization problems under general monotonicity conditions. The method centers on a locator function--a simple object constructed directly from the model's primitives--whose roots identify interior steady states and...

This paper studies how Knightian uncertainty about the distribution of future trade policies affects current trade flows using a dynamic trade model with a sunk cost of exporting. Qualitatively, trade-policy ambiguity reduces export participation in a similar manner to standard trade-policy...

"The book begins with cellular automata and their role in improving the strategic alignment of business and IT. It also presents research and practical insights for database designers and developers looking to utilise AI, insights into the societal dynamics shaping the adoption of microchip...