Study on emergency logistics location-route problem under uncertain demand

Abstract

Based on the uncertain characteristics of emergency material demand, this paper uses interval number to represent the uncertainty of emergency material demand and considers the two objectives of rescue cost and time to establish an optimization model of emergency logistics facility location and route. The interval constraint theory is used to transform the interval uncertainty into the definite number, and the multi-objective is transformed into a single objective by the non-dimensional linear weighting method. The genetic algorithm is designed to solve the model, and the effectiveness of the model and algorithm is demonstrated by a practical example.