Adoption of digital twins in smart factories, that model real statuses of manufacturing systems
through simulation with real time actualization, are manifested in the form of increased …

At the current worrisome rate of global consumption, the linear economy model of producing
goods, using them, and then disposing of them with no thought of the environmental, social …

Recent developments across all phases of the knowledge discovery process in the machine
tool data analytics process call for a paradigm shift regarding how to combine the different …

The research proposes a metric referred to as Smart Manufacturing Performance Measures
(SMPMs), which are mapped with manufacturing decisions (structural and infrastructural) …

Following a major disaster, hospitals must promptly rearrange their organization and
treatment procedures to deal with the sudden arrival of a high number of injured people to …

Complete and accurate data is an important enabler of effective supply chain decision
making. Despite the increasing efforts to fully automate data collection processes using …

Abstract Supply Chains (SCs) are dynamic and complex networks that are exposed to
disruption, which have consequences hard to quantify. Thus, simulation may be used, as it …

Abstract Sustainable Supply Chain Network Design (SCND) poses a complex challenge, as
it often requires trade-offs in decision-making. The problem becomes even more challenging …

Prioritising maintenance activities in throughput bottlenecks increases the throughput from
the production system. To facilitate the planning and execution of maintenance activities …

This book was published because the power of Virtual Product Creation (VPC) and its
solution elements still are significantly underestimated and hence underutilized within …