Multiple People Picking Assignment and Routing Optimization Based on Genetic Algorithm

摘要

In order to improve the picking efficiency, reduce the picking time, this paper take artificial picking operation of a certain distribution center which has double-area warehouse as the studying object. Discuss the picking task allocation and routing problems. Establish the TSP model of order-picking system. Create a heuristic algorithm bases on the Genetic Algorithm (GA) which help to solve the task allocating problem and to get the associated order-picking routes. And achieve the simulation experiment with the Visual 6.0C++platform to prove the rationality of the model and the effectiveness of the arithmetic.