Order Batching Optimization in Dual Zone Type Warehouse Based on Genetic Algorithms

Jie Zhu; Hong Zhang; Li Zhou; Jian Guo

doi:doi:10.11648/j.sjbm.20150303.13

| Peer-Reviewed

Order Batching Optimization in Dual Zone Type Warehouse Based on Genetic Algorithms

Jie Zhu, Hong Zhang, Li Zhou, Jian Guo

Published in Science Journal of Business and Management (Volume 3, Issue 3)

Received: 13 April 2015 Accepted: 24 April 2015 Published: 2 June 2015

Views: Downloads:

Download PDF

Share This Article

Twitter
Linked In
Facebook

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.

Published in	Science Journal of Business and Management (Volume 3, Issue 3)
DOI	10.11648/j.sjbm.20150303.13
Page(s)	77-81
Creative Commons	This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.
Copyright	Copyright © The Author(s), 2015. Published by Science Publishing Group

Keywords

Manual Order Picking System, Order Batching, Genetic Algorithm

References

[1]	Sebastian Henn,Algorithms for on-line order batching in an order picking warehouse [J]. Computer & Operations Research, 2012, 2549-2563.
[2]	Sebastian Henn, Soren Koch, Karl F. Doerner, ect. Metaheuristics for the Order Batching Problem in the Manual Order Picking System[J]. BuR-Business Research, 2010, Vol.3 (1), pp.82-105
[3]	Seval Ene,Nursel Ozturk, Storage location assignment and order picking optimization in the automotive industry[J]. Int J Adv Manuf Technol, 2011, pp.787-797
[4]	Osman Kulak,Yusuf Sahin, Mustafa Egemen Taner.Joint order batching and picker routing in single and multiple-cross-aisle warehouse using cluster-based tabu search algorithms[J].Flex Serv Manuf J,2012,(24):52-80
[5]	Amir Hossein Azadnia, Shahrooz Taheri, Pezhman Ghadimi, ect. Order Batching in Warehouse by Minimizing Total Tardiness: A Hybrid Approach of Weighted Association Rule Mining and Genetic Algorithms [J]. The Scientific World Journal, 2013, 1-13
[6]	Gibson D R,Sharp G.P. Orderbatching Proeedures [J]. EuroPean Journal of Operational Researeh, 2005, 58(l),57-67.
[7]	Le-Due, De Koste. Travel distance estimation and storage zone optimization in a 2-bloek class-based storage strategy warehouse [J]. Intemational Joumal of Production Researeh, 2004, 43(17), 3561-3581.
[8]	Tho Le-Duc. Design and Control of Efficient Order Picking Processes [M]. Rotterdam: Erasmus University Rotterdam, 2005.
[9]	Roodbergen , K.J. and DeKoster,R Routing order Pickers in awarehouse with a middle Aisle[J]. EuroPean Journal of Operational Researeh. 2001, 133, 32-43.
[10]	Pratik J Parikh, Russell D Meller. Selecting between batch and zone order picking trategies in a distribution center [J]. Transportation Research Part E, 2008, 44: 696-719.

Cite This Article

Plain Text BibTeX RIS

APA Style

Jie Zhu, Hong Zhang, Li Zhou, Jian Guo. (2015). Order Batching Optimization in Dual Zone Type Warehouse Based on Genetic Algorithms. Science Journal of Business and Management, 3(3), 77-81. https://doi.org/10.11648/j.sjbm.20150303.13

Copy | Download

ACS Style

Jie Zhu; Hong Zhang; Li Zhou; Jian Guo. Order Batching Optimization in Dual Zone Type Warehouse Based on Genetic Algorithms. Sci. J. Bus. Manag. 2015, 3(3), 77-81. doi: 10.11648/j.sjbm.20150303.13

Copy | Download

AMA Style

Jie Zhu, Hong Zhang, Li Zhou, Jian Guo. Order Batching Optimization in Dual Zone Type Warehouse Based on Genetic Algorithms. Sci J Bus Manag. 2015;3(3):77-81. doi: 10.11648/j.sjbm.20150303.13

Copy | Download

@article{10.11648/j.sjbm.20150303.13,
  author = {Jie Zhu and Hong Zhang and Li Zhou and Jian Guo},
  title = {Order Batching Optimization in Dual Zone Type Warehouse Based on Genetic Algorithms},
  journal = {Science Journal of Business and Management},
  volume = {3},
  number = {3},
  pages = {77-81},
  doi = {10.11648/j.sjbm.20150303.13},
  url = {https://doi.org/10.11648/j.sjbm.20150303.13},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.sjbm.20150303.13},
  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.},
 year = {2015}
}

Copy | Download

TY  - JOUR
T1  - Order Batching Optimization in Dual Zone Type Warehouse Based on Genetic Algorithms
AU  - Jie Zhu
AU  - Hong Zhang
AU  - Li Zhou
AU  - Jian Guo
Y1  - 2015/06/02
PY  - 2015
N1  - https://doi.org/10.11648/j.sjbm.20150303.13
DO  - 10.11648/j.sjbm.20150303.13
T2  - Science Journal of Business and Management
JF  - Science Journal of Business and Management
JO  - Science Journal of Business and Management
SP  - 77
EP  - 81
PB  - Science Publishing Group
SN  - 2331-0634
UR  - https://doi.org/10.11648/j.sjbm.20150303.13
AB  - 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.
VL  - 3
IS  - 3
ER  -

Copy | Download

Author Information

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

Download PDF

Sections

Plain Text BibTeX RIS

APA Style

Jie Zhu, Hong Zhang, Li Zhou, Jian Guo. (2015). Order Batching Optimization in Dual Zone Type Warehouse Based on Genetic Algorithms. Science Journal of Business and Management, 3(3), 77-81. https://doi.org/10.11648/j.sjbm.20150303.13

Copy | Download

ACS Style

Jie Zhu; Hong Zhang; Li Zhou; Jian Guo. Order Batching Optimization in Dual Zone Type Warehouse Based on Genetic Algorithms. Sci. J. Bus. Manag. 2015, 3(3), 77-81. doi: 10.11648/j.sjbm.20150303.13

Copy | Download

AMA Style

Jie Zhu, Hong Zhang, Li Zhou, Jian Guo. Order Batching Optimization in Dual Zone Type Warehouse Based on Genetic Algorithms. Sci J Bus Manag. 2015;3(3):77-81. doi: 10.11648/j.sjbm.20150303.13

Copy | Download

@article{10.11648/j.sjbm.20150303.13,
  author = {Jie Zhu and Hong Zhang and Li Zhou and Jian Guo},
  title = {Order Batching Optimization in Dual Zone Type Warehouse Based on Genetic Algorithms},
  journal = {Science Journal of Business and Management},
  volume = {3},
  number = {3},
  pages = {77-81},
  doi = {10.11648/j.sjbm.20150303.13},
  url = {https://doi.org/10.11648/j.sjbm.20150303.13},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.sjbm.20150303.13},
  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.},
 year = {2015}
}

Copy | Download

TY  - JOUR
T1  - Order Batching Optimization in Dual Zone Type Warehouse Based on Genetic Algorithms
AU  - Jie Zhu
AU  - Hong Zhang
AU  - Li Zhou
AU  - Jian Guo
Y1  - 2015/06/02
PY  - 2015
N1  - https://doi.org/10.11648/j.sjbm.20150303.13
DO  - 10.11648/j.sjbm.20150303.13
T2  - Science Journal of Business and Management
JF  - Science Journal of Business and Management
JO  - Science Journal of Business and Management
SP  - 77
EP  - 81
PB  - Science Publishing Group
SN  - 2331-0634
UR  - https://doi.org/10.11648/j.sjbm.20150303.13
AB  - 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.
VL  - 3
IS  - 3
ER  -

Copy | Download