With the application of in-house logistics automated guided vehicle (AGV) systems for transportation three different control problems arise: task assignment, empty vehicle balancing and routing. With an increasing fleet size and especially when considering requirements like flexibility and...

The paper at hand presents a definition of autonomous intralogistics systems and a classification of intralogistics systems with regard to their degree of autonomy. Intralogistics − a complex interplay of different logistics functions − covers the organization, control, execution and...

Calibration is a highly challenging task, in particular in multiple yield curve markets. This paper is a first attempt to study the chances and challenges of the application of machine learning techniques for this. We employ Gaussian process regression, a machine learning methodology having many...

Decentral production control plays a crucial role within the paradigm of Industry 4.0. Due to the fast and flexible decisions on allocation and sequencing required by this type of control, there is no baseline production schedule in advance. This creates a dilemma for efficient staff deployment...

This paper investigates a scheduling approach for Automated Guided Vehicle Systems, enabling transport load transfers between vehicles during transport execution. The vehicles can use predefined transfer stations to buffer transport loads until the transport continues by a following vehicle. The...

This paper discusses ambiguity in the context of single-name credit risk. We focus on uncertainty on the default intensity but also discuss uncertainty on the recovery in a fractional recovery of the market value. This approach is a first step towards integrating uncertainty in credit risky term...