Picking Path Optimization in Dual Zone Type Warehouse Based on Genetic Algorithms

Jie Zhu; Hong Zhang; Jian Guo; Li Zhou

doi:doi:10.11648/j.ijebo.20150303.13

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Picking Path Optimization in Dual Zone Type Warehouse Based on Genetic Algorithms

Jie Zhu, Hong Zhang, Jian Guo, Li Zhou

Published in International Journal of Economic Behavior and Organization (Volume 3, Issue 3)

Received: 18 April 2015 Accepted: 11 May 2015 Published: 2 June 2015

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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. For picking route optimization problem, single or multiple picking equipment may be considered in the actual operation process in order to choose the shortest path as the objective function to establish the optimization model in this paper. And genetic algorithm is designed in detail to solve this model.

Published in	International Journal of Economic Behavior and Organization (Volume 3, Issue 3)
DOI	10.11648/j.ijebo.20150303.13
Page(s)	41-46
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.
[11]	Hong Zhang, Li Zhou. Order Batching Optimization in dual zone type warehouse based on Genetic Algorithms [J]. Science Journal of Business and Management, in press
[12]	Hong Zhang, Li Zhou. Study on order batching model design based on Hopfield Neural Network [J].Science Journal of Business and Management, in press
[13]	Hong Zhang, Li Zhou. Picking Path Optimization in dual zone type warehouse based on Neural Networks [J].Science Journal of Business and Management, in press.

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APA Style

Jie Zhu, Hong Zhang, Jian Guo, Li Zhou. (2015). Picking Path Optimization in Dual Zone Type Warehouse Based on Genetic Algorithms. International Journal of Economic Behavior and Organization, 3(3), 41-46. https://doi.org/10.11648/j.ijebo.20150303.13

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ACS Style

Jie Zhu; Hong Zhang; Jian Guo; Li Zhou. Picking Path Optimization in Dual Zone Type Warehouse Based on Genetic Algorithms. Int. J. Econ. Behav. Organ. 2015, 3(3), 41-46. doi: 10.11648/j.ijebo.20150303.13

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AMA Style

Jie Zhu, Hong Zhang, Jian Guo, Li Zhou. Picking Path Optimization in Dual Zone Type Warehouse Based on Genetic Algorithms. Int J Econ Behav Organ. 2015;3(3):41-46. doi: 10.11648/j.ijebo.20150303.13

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@article{10.11648/j.ijebo.20150303.13,
  author = {Jie Zhu and Hong Zhang and Jian Guo and Li Zhou},
  title = {Picking Path Optimization in Dual Zone Type Warehouse Based on Genetic Algorithms},
  journal = {International Journal of Economic Behavior and Organization},
  volume = {3},
  number = {3},
  pages = {41-46},
  doi = {10.11648/j.ijebo.20150303.13},
  url = {https://doi.org/10.11648/j.ijebo.20150303.13},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ijebo.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. For picking route optimization problem, single or multiple picking equipment may be considered in the actual operation process in order to choose the shortest path as the objective function to establish the optimization model in this paper. And genetic algorithm is designed in detail to solve this model.},
 year = {2015}
}

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TY  - JOUR
T1  - Picking Path Optimization in Dual Zone Type Warehouse Based on Genetic Algorithms
AU  - Jie Zhu
AU  - Hong Zhang
AU  - Jian Guo
AU  - Li Zhou
Y1  - 2015/06/02
PY  - 2015
N1  - https://doi.org/10.11648/j.ijebo.20150303.13
DO  - 10.11648/j.ijebo.20150303.13
T2  - International Journal of Economic Behavior and Organization
JF  - International Journal of Economic Behavior and Organization
JO  - International Journal of Economic Behavior and Organization
SP  - 41
EP  - 46
PB  - Science Publishing Group
SN  - 2328-7616
UR  - https://doi.org/10.11648/j.ijebo.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. For picking route optimization problem, single or multiple picking equipment may be considered in the actual operation process in order to choose the shortest path as the objective function to establish the optimization model in this paper. And genetic algorithm is designed in detail to solve this model.
VL  - 3
IS  - 3
ER  -

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Author Information

Jie Zhu

School of Information, Beijing Wuzi University, Beijing, China
Hong Zhang

School of Information, Beijing Wuzi University, Beijing, China
Jian Guo

School of Information, Beijing Wuzi University, Beijing, China
Li Zhou

School of Information, Beijing Wuzi University, Beijing, China

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Plain Text BibTeX RIS

APA Style

Jie Zhu, Hong Zhang, Jian Guo, Li Zhou. (2015). Picking Path Optimization in Dual Zone Type Warehouse Based on Genetic Algorithms. International Journal of Economic Behavior and Organization, 3(3), 41-46. https://doi.org/10.11648/j.ijebo.20150303.13

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ACS Style

Jie Zhu; Hong Zhang; Jian Guo; Li Zhou. Picking Path Optimization in Dual Zone Type Warehouse Based on Genetic Algorithms. Int. J. Econ. Behav. Organ. 2015, 3(3), 41-46. doi: 10.11648/j.ijebo.20150303.13

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AMA Style

Jie Zhu, Hong Zhang, Jian Guo, Li Zhou. Picking Path Optimization in Dual Zone Type Warehouse Based on Genetic Algorithms. Int J Econ Behav Organ. 2015;3(3):41-46. doi: 10.11648/j.ijebo.20150303.13

Copy | Download

@article{10.11648/j.ijebo.20150303.13,
  author = {Jie Zhu and Hong Zhang and Jian Guo and Li Zhou},
  title = {Picking Path Optimization in Dual Zone Type Warehouse Based on Genetic Algorithms},
  journal = {International Journal of Economic Behavior and Organization},
  volume = {3},
  number = {3},
  pages = {41-46},
  doi = {10.11648/j.ijebo.20150303.13},
  url = {https://doi.org/10.11648/j.ijebo.20150303.13},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ijebo.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. For picking route optimization problem, single or multiple picking equipment may be considered in the actual operation process in order to choose the shortest path as the objective function to establish the optimization model in this paper. And genetic algorithm is designed in detail to solve this model.},
 year = {2015}
}

Copy | Download

TY  - JOUR
T1  - Picking Path Optimization in Dual Zone Type Warehouse Based on Genetic Algorithms
AU  - Jie Zhu
AU  - Hong Zhang
AU  - Jian Guo
AU  - Li Zhou
Y1  - 2015/06/02
PY  - 2015
N1  - https://doi.org/10.11648/j.ijebo.20150303.13
DO  - 10.11648/j.ijebo.20150303.13
T2  - International Journal of Economic Behavior and Organization
JF  - International Journal of Economic Behavior and Organization
JO  - International Journal of Economic Behavior and Organization
SP  - 41
EP  - 46
PB  - Science Publishing Group
SN  - 2328-7616
UR  - https://doi.org/10.11648/j.ijebo.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. For picking route optimization problem, single or multiple picking equipment may be considered in the actual operation process in order to choose the shortest path as the objective function to establish the optimization model in this paper. And genetic algorithm is designed in detail to solve this model.
VL  - 3
IS  - 3
ER  -

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