Author(s)

Zhichao Pan

Corresponding Author

Zhichao Pan

Abstract

At present, most of the researches on emergency supply management in fuzzy environment are focused on single-supply cases. This paper discusses a multi-demand point optimization in fuzzy environment with two decision variables amount and route. We present a feasible replenishment strategy and a hybrid model with fuzzy chance-constrained programming and genetic algorithm. In the proposed algorithm, firstly optimize replenishment amount in fixed route by fuzzy chance-constrained programming. Finally, take every route’s target value from previous step as genetic algorithm’s fitness to optimize second decision variables route. The result of example indicates the mixed model is effective and feasible.

Keywords

Fuzzy theory, Fuzzy chance-constrained programming, Genetic algorithm