Decentralized Bilevel Optimization for Supplier Selection Problem with Multiple Items under Fuzzy Random Environment

The aim of this paper is to consider the supplier selection problem under a hierarchical decision system. With consideration of the inherent uncertainty, An decentralized bilevel optimization model under fuzzy random environment is developed for tracking a supplier selection problem with multiple items. For solving the bi-level programming model, an interactive fuzzy programming technique and an improved particle swarm optimization based on fuzzy random simulation (IPSO based FRS) are designed as a combined solution method. Finally, the results and comparisons analysis of a case study are presented to demonstrate the practicality and efficiency of the optimization method.