Physical Internet (PI) is an open global logistics system of which components are
hyperconnected for increased efficiency and sustainability. Digital twin (DT), referring to the …

In recent years, the semiconductor supply chain has experienced dramatic changes, due to
geopolitical tensions and public health events, which have provided insights into supply …

To improve the predictive capability of ecosystem biogeochemical models (EBMs), we
discuss the feasibility of formulating biogeochemical processes using physical rules that …

As the application fields for digital twins have expanded, various studies have been
conducted with the objective of optimizing the costs. Among these studies, research on low …

In complex manufacturing systems, such as a semiconductor wafer fabrication facility (wafer
fab), it is important to accurately predict cycle times and work-in-progress (WIP) levels …

A digital twin is a widely used method that uses digitized simulations of the real-world
characteristics because it is effective in predicting results at a low cost. In digital twin …

This chapter is about the layers of abstraction required to design and run digital twins (DTs)
as part of cyber-physical systems (CPS). Accurate modeling of CPS is a multi-faceted task …

Among various applications of digital twins, measuring particulate matter in the context of air
pollution has become increasingly important due to growing interest in atmospheric …

Smart manufacturing utilizes digital twins that are virtual forms of their production plants for
analyzing and optimizing decisions. Digital twins have been mainly developed as discrete …

Setting WIP levels at the workstations of a production is an important task: WIP levels affect
throughput times as well as utilisation rates. Consequently, they also impact the delivery …