Design Optimization of Amazon Robotics

Jun-tao Li; Hong-jian Liu

doi:doi:10.11648/j.acis.20160402.17

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Design Optimization of Amazon Robotics

Jun-tao Li, Hong-jian Liu

Published in Automation, Control and Intelligent Systems (Volume 4, Issue 2)

Received: 4 May 2016 Accepted: 14 May 2016 Published: 30 May 2016

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Abstract

In the era of e-commerce, the logistic distribution center is put in the center role of order picking for the sake of meeting the needs of different customer orders, hence, improving the automation and work capacity of distribution center becomes research priority in the fields of logistics and warehousing. The objective of this article is to solve the shortcomings of currently traditional distribution center picking system with high automation by introducing a new method of picking provided by Amazon’s Kiva system, that is, mobile racking with goods is broke out to sorting table by Kiva mobile robots named AGVs (automated guided vehicles), which could not only reduce the walk time and labor cost, but improve efficiency. This article starts with the constitutive requirements of the Amazon KIVA robotic systems, and then some key problems of Kiva picking system and design optimization about task allocation and path planning of multi-robots are demonstrated respectively in this article. Finally, the content is summarized and the application of robotic system in is simply demonstrated and prospected.

Published in	Automation, Control and Intelligent Systems (Volume 4, Issue 2)
DOI	10.11648/j.acis.20160402.17
Page(s)	48-52
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), 2016. Published by Science Publishing Group

Keywords

Amazon Kiva Robotics, Picking System, Design Optimization

References

[1]	News & Trends. “Amazon is equipped with robots to meet holiday season”. World vision, vol. 23, pp. 36-37, 2014.
[2]	Industry dynamics. “Amazon use robots handle orders”. Journal of Robot Technique and Application, vol 1, pp58-60, 2015.
[3]	X. M. Zhang. “The order picking optimization and algorithm research based on Kiva system,” Master Thesis, Beijing: Beijing University of Posts and Telecommunications, 2015.
[4]	D’Andrea R, Wuman P. Future challenges of coordinating hundreds of autonomous vehicles in distribution facilities//Techonologies for Practical Robot Applications, 2008. TePRA2008. IEEE International Conference on. IEEE, pp 80-83, 2008.
[5]	J. P. Wu. “Analysis and prospect of Amazon kiva robot application,” Journal of Logistics & Material Handling, vol. 10, pp 159-162, 2015.
[6]	M. Zamirian, A. V. Kamyad, M. H. Farahi. “A novel algorithm for solving optimal path planning problems based on parametrization method and fuzzy aggregation,” Journal of Physics Letters A. 2009 (38).
[7]	P. Klaus. Logistics research: a 50 years’ march of ideas. Logistics Research. 2009.
[8]	J. Enright, P. R. Wurman. “Optimization and Coordinated Autonomy in Mobile Fulfillment Systems. Automated Action Planning for Autonomous Mobile Robots,” 2011.
[9]	S. Qi. “Study on path planning of AGV system,” Master Thesis, Zhejiang: Zhejiang University, 2012.
[10]	R. Peter. Wurman, Raffaello D’Andrea, and Mick Mountz. “Coordinating hundreds of cooperative, autonomous vehicles in warehouses,” Journal of AI Magazine, vol 29, no. 1, 2008.
[11]	Ruey-Jer "Bryan" Jean, R. R Sinkovics, D. Kim. “The impact of technological, organizational and environmental characteristivs on electronic collaboration and relationship performance in international customer-supplier relationships,” Journal of Information and Management, 2014.
[12]	T. Frank, C. Q. Zhang. “To the robot era of apple, amazon and Google,” Journal of World Science, vol 3, pp 53-54, 2014.

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APA Style

Jun-tao Li, Hong-jian Liu. (2016). Design Optimization of Amazon Robotics. Automation, Control and Intelligent Systems, 4(2), 48-52. https://doi.org/10.11648/j.acis.20160402.17

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ACS Style

Jun-tao Li; Hong-jian Liu. Design Optimization of Amazon Robotics. Autom. Control Intell. Syst. 2016, 4(2), 48-52. doi: 10.11648/j.acis.20160402.17

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AMA Style

Jun-tao Li, Hong-jian Liu. Design Optimization of Amazon Robotics. Autom Control Intell Syst. 2016;4(2):48-52. doi: 10.11648/j.acis.20160402.17

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@article{10.11648/j.acis.20160402.17,
  author = {Jun-tao Li and Hong-jian Liu},
  title = {Design Optimization of Amazon Robotics},
  journal = {Automation, Control and Intelligent Systems},
  volume = {4},
  number = {2},
  pages = {48-52},
  doi = {10.11648/j.acis.20160402.17},
  url = {https://doi.org/10.11648/j.acis.20160402.17},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.acis.20160402.17},
  abstract = {In the era of e-commerce, the logistic distribution center is put in the center role of order picking for the sake of meeting the needs of different customer orders, hence, improving the automation and work capacity of distribution center becomes research priority in the fields of logistics and warehousing. The objective of this article is to solve the shortcomings of currently traditional distribution center picking system with high automation by introducing a new method of picking provided by Amazon’s Kiva system, that is, mobile racking with goods is broke out to sorting table by Kiva mobile robots named AGVs (automated guided vehicles), which could not only reduce the walk time and labor cost, but improve efficiency. This article starts with the constitutive requirements of the Amazon KIVA robotic systems, and then some key problems of Kiva picking system and design optimization about task allocation and path planning of multi-robots are demonstrated respectively in this article. Finally, the content is summarized and the application of robotic system in is simply demonstrated and prospected.},
 year = {2016}
}

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TY  - JOUR
T1  - Design Optimization of Amazon Robotics
AU  - Jun-tao Li
AU  - Hong-jian Liu
Y1  - 2016/05/30
PY  - 2016
N1  - https://doi.org/10.11648/j.acis.20160402.17
DO  - 10.11648/j.acis.20160402.17
T2  - Automation, Control and Intelligent Systems
JF  - Automation, Control and Intelligent Systems
JO  - Automation, Control and Intelligent Systems
SP  - 48
EP  - 52
PB  - Science Publishing Group
SN  - 2328-5591
UR  - https://doi.org/10.11648/j.acis.20160402.17
AB  - In the era of e-commerce, the logistic distribution center is put in the center role of order picking for the sake of meeting the needs of different customer orders, hence, improving the automation and work capacity of distribution center becomes research priority in the fields of logistics and warehousing. The objective of this article is to solve the shortcomings of currently traditional distribution center picking system with high automation by introducing a new method of picking provided by Amazon’s Kiva system, that is, mobile racking with goods is broke out to sorting table by Kiva mobile robots named AGVs (automated guided vehicles), which could not only reduce the walk time and labor cost, but improve efficiency. This article starts with the constitutive requirements of the Amazon KIVA robotic systems, and then some key problems of Kiva picking system and design optimization about task allocation and path planning of multi-robots are demonstrated respectively in this article. Finally, the content is summarized and the application of robotic system in is simply demonstrated and prospected.
VL  - 4
IS  - 2
ER  -

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Author Information

Jun-tao Li

School of Information, Beijing Wuzi University, Beijing, China
Hong-jian Liu

Graduate Department, Beijing Wuzi University, Beijing, China

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APA Style

Jun-tao Li, Hong-jian Liu. (2016). Design Optimization of Amazon Robotics. Automation, Control and Intelligent Systems, 4(2), 48-52. https://doi.org/10.11648/j.acis.20160402.17

Copy | Download

ACS Style

Jun-tao Li; Hong-jian Liu. Design Optimization of Amazon Robotics. Autom. Control Intell. Syst. 2016, 4(2), 48-52. doi: 10.11648/j.acis.20160402.17

Copy | Download

AMA Style

Jun-tao Li, Hong-jian Liu. Design Optimization of Amazon Robotics. Autom Control Intell Syst. 2016;4(2):48-52. doi: 10.11648/j.acis.20160402.17

Copy | Download

@article{10.11648/j.acis.20160402.17,
  author = {Jun-tao Li and Hong-jian Liu},
  title = {Design Optimization of Amazon Robotics},
  journal = {Automation, Control and Intelligent Systems},
  volume = {4},
  number = {2},
  pages = {48-52},
  doi = {10.11648/j.acis.20160402.17},
  url = {https://doi.org/10.11648/j.acis.20160402.17},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.acis.20160402.17},
  abstract = {In the era of e-commerce, the logistic distribution center is put in the center role of order picking for the sake of meeting the needs of different customer orders, hence, improving the automation and work capacity of distribution center becomes research priority in the fields of logistics and warehousing. The objective of this article is to solve the shortcomings of currently traditional distribution center picking system with high automation by introducing a new method of picking provided by Amazon’s Kiva system, that is, mobile racking with goods is broke out to sorting table by Kiva mobile robots named AGVs (automated guided vehicles), which could not only reduce the walk time and labor cost, but improve efficiency. This article starts with the constitutive requirements of the Amazon KIVA robotic systems, and then some key problems of Kiva picking system and design optimization about task allocation and path planning of multi-robots are demonstrated respectively in this article. Finally, the content is summarized and the application of robotic system in is simply demonstrated and prospected.},
 year = {2016}
}

Copy | Download

TY  - JOUR
T1  - Design Optimization of Amazon Robotics
AU  - Jun-tao Li
AU  - Hong-jian Liu
Y1  - 2016/05/30
PY  - 2016
N1  - https://doi.org/10.11648/j.acis.20160402.17
DO  - 10.11648/j.acis.20160402.17
T2  - Automation, Control and Intelligent Systems
JF  - Automation, Control and Intelligent Systems
JO  - Automation, Control and Intelligent Systems
SP  - 48
EP  - 52
PB  - Science Publishing Group
SN  - 2328-5591
UR  - https://doi.org/10.11648/j.acis.20160402.17
AB  - In the era of e-commerce, the logistic distribution center is put in the center role of order picking for the sake of meeting the needs of different customer orders, hence, improving the automation and work capacity of distribution center becomes research priority in the fields of logistics and warehousing. The objective of this article is to solve the shortcomings of currently traditional distribution center picking system with high automation by introducing a new method of picking provided by Amazon’s Kiva system, that is, mobile racking with goods is broke out to sorting table by Kiva mobile robots named AGVs (automated guided vehicles), which could not only reduce the walk time and labor cost, but improve efficiency. This article starts with the constitutive requirements of the Amazon KIVA robotic systems, and then some key problems of Kiva picking system and design optimization about task allocation and path planning of multi-robots are demonstrated respectively in this article. Finally, the content is summarized and the application of robotic system in is simply demonstrated and prospected.
VL  - 4
IS  - 2
ER  -

Copy | Download