The traditional methods and techniques employed in operational management seem unable to provide solutions that can be actually practiced. This insufficiency is caused by the uncertainties and delays which are faced in practice. The potential causes of these uncertainties are usually internal...

Der Begriff Risiko ist heutzutage durch politische Bewegungen wie KonTraG und Basel II sowie spektakuläre Unternehmenszusammenbrüche in aller Munde. Dabei wird immer wieder darauf hingewiesen, dass die Unternehmen ganzheitliche integrierte Risikomanagement- und controllingsysteme installieren...

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...

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...

Shot-noise processes generalize compound Poisson processes in the following way: a jump (the shot) is followed by a decline (noise). This constitutes a useful model for insurance claims in many circumstances; claims due to natural disasters or self-exciting processes exhibit similar features. We...

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

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...

The notion of statistical arbitrage introduced in Bondarenko (2003) is generalized to statistical G-arbitrage corresponding to trading strategies which yield positive gains on average in a class of scenarios described by a σ-algebra G. This notion contains classical arbitrage as a special case....

We propose a reduced form model for default that allows us to derive closed-form solutions to all the key ingredients in credit risk modeling: risk-free bond prices, defaultable bond prices (with and without stochastic recovery) and probabilities of survival. We show that all these quantities...