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The Research on Distance Optimization of Batch-Order Picking Based on GA

Jie Wan, Shaoqing Zhang

Open publisher page 1 citations

Abstract

In this paper we address the problem of batching orders in a parallel-aisle warehouse, with the objective to minimize the travel distance of picking all of the batches. This study develops an order batching approach based on genetic algorithms (GAs). Unlike to previous batching methods, in this paper it pays attention on the selection of seed orders. And it obviously reduce the distance of picking compared with other approach.

About this research paper

What this paper is about

In this paper we address the problem of batching orders in a parallel-aisle warehouse, with the objective to minimize the travel distance of picking all of the batches. This study develops an order batching approach based on genetic algorithms (GAs). Unlike to previous batching methods, in this paper it pays attention on the selection of seed orders. And it obviously reduce the distance of picking compared with other approach.

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OpenAlex reports 1 citations for this work. Citation counts describe recorded attention and do not establish research quality.

Key contribution

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Method / approach

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Available abstract

In this paper we address the problem of batching orders in a parallel-aisle warehouse, with the objective to minimize the travel distance of picking all of the batches. This study develops an order batching approach based on genetic algorithms (GAs). Unlike to previous batching methods, in this paper it pays attention on the selection of seed orders. And it obviously reduce the distance of picking compared with other approach.

Key concepts: Aisle, Order picking, Selection (genetic algorithm), Computer science, Genetic algorithm, Order (exchange), Mathematical optimization, Warehouse

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