The adoption of machine learning (ML) and, more specifically, deep learning (DL)
applications into all major areas of our lives is underway. The development of trustworthy AI …

At the core of every high-performing warehouse is an efficient order picking (OP) system. To
attain such a system, policy choices should be carefully aligned with subjects responsible for …

Process mining techniques can be used to analyse business processes using the data
logged during their execution. These techniques are leveraged in a wide range of domains …

Healthcare organizations are confronted with challenges including the contention between
tightening budgets and increased care needs. In the light of these challenges, they are …

Emergency departments (EDs) are one of the main entry points of a hospital, offering non-
stop healthcare services to patients with various needs. ED crowding is considered a major …

Abstract Information systems such as Electronic Health Record (EHR) systems are
susceptible to data quality (DQ) issues. Given the growing importance of EHR data, there is …

The focus of this paper is on how data quality can affect business process discovery in real
complex environments, which is a major factor determining the success in any data-driven …

Healthcare managers are confronted with various Capacity Management decisions to
determine appropriate levels of resources such as equipment and staff. Given the significant …

Hospitals are becoming increasingly aware of the need to improve their processes and data-
driven approaches, such as process mining, are gaining attention. When applying process …

Emergency department overcrowding is a complex problem that persists globally. Data of
visits constitute an opportunity to understand its dynamics. However, the gap between the …