Stochastic operation models for open inventory networks

Abstract

Open inventory networks have been modelled by dynamic fuzzy criterion models. This paper recasts the open inventory network models as some stochastic operation models based on chance constrained programming and dependent-chance programming according to the different purposes of management. Finally, some illustrative examples are discussed and solved by stochastic simulation based genetic algorithms.