Order Batching Optimization in Dual Zone Type Warehouse Based on Genetic Algorithms
Science Journal of Business and Management
Volume 3, Issue 3, June 2015, Pages: 77-81
Received: Apr. 13, 2015; Accepted: Apr. 24, 2015; Published: Jun. 2, 2015
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Authors
Jie Zhu, School of Information, Beijing Wuzi University, Beijing, China
Hong Zhang, School of Information, Beijing Wuzi University, Beijing, China
Li Zhou, School of Information, Beijing Wuzi University, Beijing, China
Jian Guo, School of Information, Beijing Wuzi University, Beijing, China
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Abstract
With the rapid development of e-commerce and the global economy, order picking mode of multiple batches and small quantities becoming more and more, which makes artificial picking system occupy a larger proportion in a variety of ways. The optimization study of the artificial person picking system has a crucial role to enhance the efficiency of batch picking, then increasing customer satisfaction. In this paper, according to the characteristics of the problem, Genetic algorithm was selected as the model's algorithm. The detailed design of coding, crossover method, genetic algorithm in solving process variation method, is used to realize the optimization of the model.
Keywords
Manual Order Picking System, Order Batching, Genetic Algorithm
To cite this article
Jie Zhu, Hong Zhang, Li Zhou, Jian Guo, Order Batching Optimization in Dual Zone Type Warehouse Based on Genetic Algorithms, Science Journal of Business and Management. Vol. 3, No. 3, 2015, pp. 77-81. doi: 10.11648/j.sjbm.20150303.13
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