This paper seeks to identify the contributions of artificial intelligence (AI) to supply chain
management (SCM) through a systematic review of the existing literature. To address the …

Background: The supply chain ecosystem is becoming fragile and difficult to manage due to
the complexities in its interlinked functions such as planning, procurement, production …

In job-shop manufacturing systems, an efficient production schedule acts to reduce
unnecessary costs and better manage resources. For the same purposes, modern …

This work addresses the path tracking problem of industrial guidance systems used by
automated guided vehicles (AGVs) in load transfer operations. We focus on the control law …

Automated guided vehicles (AGVs) are a common choice made by many companies for
material handling (MH) in manufacturing systems. AGV-based internal transport of raw …

Current studies on scheduling of machines and transporters assume that either a single
transporter or an infinite number of homogeneous transporters such as AGVs or mobile …

The automotive industry is on the brink of transitioning to autonomous vehicles (AVs). This
will require highly flexible assembly systems. This paper focuses on exploiting the …

In this paper, we propose a new wireless hybrid control algorithm for visual servoing of
mobile robots. In particular, the hybrid system is developed using the two autonomous …

In the European manufacturing industry, production batches are decreasing, resulting in an
increase in required changeovers. Companies are pushed to respond quickly and cost …

We study the problem of automatic configuration of the initial position, the so-called
waypoint, from which to initiate a robust and accurate docking maneuver using …