This paper deals with models, relaxations and algorithms for an integrated approach to vehicle and crew scheduling. We discuss potential benefits of integration and provide an overview of the literature, which considers mainly partial integration. Our approach is new in the sense that we can...

This paper deals with a practical application of an integrated approach to vehicle and crew scheduling, that we have developed previously. Computational results have shown that our approach can be applied to problems of practical size. However, application of the approach to the actual problems...

The coordination of just-in-time production and transportation in a network of partially independent facilities to guarantee timely delivery to distributed customers is one of the most challenging aspects of supply chain management. From the theoretical perspective, the timely...

Advanced Business Process Management (BPM) tools enable the decomposition of previously integrated and often ill-defined processes into re-usable process modules. These process modules can subsequently be distributed on the Internet over a variety of many different actors, each with their own...

Mathematically oriented microeconomic research has contributed enormously to the understanding of economic behavior and the functioning of markets and institutions. However, theoretical as well as applied microeconomic studies may be driven too much by mathematical feasibility. An illustrative...

On last yearÌs conference in Barcelona the authors presented an innovative expectation formation hypothesis. The assumption of fully rational agents is rejected and replaced by a bounded rationality approach that is modelled by means of a fuzzy rule-base. These rules as well as their components...

A popular argument states that most of the diversification in a portfolio can be obtained with a rather small number of securities. In this paper we present three algorithms to approach the underlying NP-hard problem of portfolio optimization with a cardinality constraint. All three of these...

Nonlinear infinite horizon continuous time optimization problems are widely used in economics. However numerical solutions necessarily require reformulating the problem into a discrete finite approximation. The method proposed by Mercenier and Michel (1994) minimizes approximation error at...

This paper explores the question whether boundedly rational agents learn to behave optimally when asked to voluntarily contribute to a public good. The decision process of individuals is described by an Evolutionary Algorithm. We find that the contribution level converges towards the Nash...