The purpose of our systematic review is to examine the recently published literature on the
Internet of Manufacturing Things (IoMT), and integrate the insights it configures on deep …

Purpose The current industrial revolution is powered by data, which is also referred as
Industry 4.0. The Industry 4.0 has attracted significant attention from academia and the …

The realization of a higher business value in manufacturing requires optimized internal
logistics systems in terms of operational performance, uptime and sustainability. This paper …

Digital servitization (DS) enabled by the Industrial Internet of Things (IIoT) is essential for
securing long-term competitiveness in manufacturing. The literature identifies the need for …

Purpose The process of supply chain digitalization (SCD) through enterprise and inter-
enterprise information systems (EIIS) is a challenging task. Understanding and studying …

Recent publications underscore the critical implications of adapting to dynamic
environments for enhancing the performance of material and information flows. This study …

A data-driven approach in production logistics is adopted as a response to challenges such
as low visibility and system rigidity. One important step for such a transition is to identify the …

In the context of internationalization, the supply chain (SC) becomes complex with a
profusion of decisions to take. SC modeling and performances have been widely discussed …

ABSTRACT A key motivation to adopt data-driven solutions in facility-internal logistic
systems is to create more responsive, efficient, and sustainable systems through a seamless …

Manufacturing has moved from local towards global economy in the past decades enabling
new paradigms to come into practice, such as distributed manufacturing which aims at …