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Optimization problems arising in practice usually contain several random parameters. Hence, in order to obtain optimal solutions being robust with respect to random parameter variations, the mostly available statistical information about the random parameters should be considered already at the planning phase. The original problem with random parameters must be replaced by an appropriate deterministic substitute problem, and efficient numerical solution or approximation techniques have to be developed for those problems. This proceedings volume contains a selection of papers on modelling...

In order to obtain more reliable optimal solutions of concrete technical/economic problems, e.g. optimal design problems, the often known stochastic variations of many technical/economic parameters have to be taken into account already in the planning phase. Hence, ordinary mathematical programs have to be replaced by appropriate stochastic programs. New theoretical insight into several branches of reliability-oriented optimization of stochastic systems, new computational approaches and technical/economic applications of stochastic programming methods can be found in this volume.

The acknowledgement that a network of cooperating companies, e.g. a supply chain, could be more successful in achieving competitive advantage than individual businesses, constitutes one of the most significant paradigm shifts in modern business management as it leaves behind the notion of adversarial companies engaged in fierce competition with one another in order to gain a competitive advantage. The "Survival of the Fittest" in what has been called "The Era of Network Competition" depends on how well companies are able to structure, coordinate, and manage relationships with their business...