Fuzzy-chance constrained economic order quantity models

Abstract

In this thesis fuzzy economic order quantity models with constraints on chances was offered. Hybrid intelligent algorithm based on fuzzy simulation, neural network and compositional technique overcoming uncertainty to solve hybrid programming models was considered. The proposed models and method form the methodological basis for decision-making processes optimization in forecasting stocking effects and preventing losses.