Fresh Food Distribution Center Storage Allocation Strategy Analysis Based on Optimized Entry-Item-Quantity-ABC

Zhu Jie; Liu Xiaoli; Li Juntao

doi:doi:10.11648/j.ijdst.20160203.11

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Fresh Food Distribution Center Storage Allocation Strategy Analysis Based on Optimized Entry-Item-Quantity-ABC

Zhu Jie, Liu Xiaoli, Li Juntao

Published in International Journal on Data Science and Technology (Volume 2, Issue 3)

Received: 30 March 2016 Accepted: 14 April 2016 Published: 17 May 2016

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Abstract

For labour-intensive field, appropriate storage location assignment is the best choice to increase order picking efficiency and reduce order cycle time, which satisfy customers and reduce cost at the same time. In this paper, we advance a storage location assignment for fresh food distribution center with a manual picker-to-parts picking system by using an optimized approach. To reflect the customer demand uncertainty, the orders received in a certain time range have been grouped and given the different coefficients according to the reference value of them. On that basis, the storage location can be designed optimally based on the Entry-Item-Quantity (EIQ) analysis, which can be used to resolve some orders picking issues, long-picking time and high inventory costs, caused by seasonal change of fresh food, unstable customer demand and repeat purchases. From the computational results, new storage allocation strategy achieves at most a 16% reduction in travel time.

Published in	International Journal on Data Science and Technology (Volume 2, Issue 3)
DOI	10.11648/j.ijdst.20160203.11
Page(s)	36-40
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

Orders Weighting Coefficient, EIQ-ABC, Storage Assignment

References

[1]	Report on Operation and Investment Strategy of China's Fresh Food E-commerce Industry. (http://www.researchandmarkets.com/research/r3q5s8/report_on)
[2]	Mengnan, W. (2011), Study on Logistics Center Location Optimization Based on Genetic Algorithm, DLMU, Dalian.
[3]	Yinghui, Z. (2015), Study on Optimization of J E-commerce Enterprise Logistics Center, BJTU, Beijing.
[4]	Bryan, J. (2015), “storage policy should not be too cumbersome,” China Logistics & Purchasing, Vol. 15, pp. 64-65.
[5]	Zizheng, D. (2015), “Influence of two kinds of display modes on the storage of freezer by numerical simulation technology,” Food and Machinery, Vol. 3, pp. 145-149.
[6]	Zaerpour, N., Y. Yu, and M. B. M. de Koster. 2011. “Optimal Configuration of a Live-cube Compact Storage System in Service Industries.” Working Paper. Rotterdam: Rotterdam School of Management, Erasmus University
[7]	Yu, Y., and M. B. M. de Koster. 2012. “Class-based Storage with Finite Number of Items.” Working Paper. Rotterdam: Rotterdam School of Management, Erasmus University.
[8]	Yu, Y., and M. B. M. de Koster. 2009. “Optimal Zone Boundaries for Two-class-based Compact Three-dimensional Automated Storage and Retrieval Systems.” IIE Transactions 41 (3): 194–208.
[9]	Bartholdi, J. J., and S. T. Hackman. 2011. Warehouse and Distribution Science: Release 0.95. http://www.warehouse-science.com. Accessed 21 December 2012.
[10]	Hausman, W. H., L. B. Schwarz, and S. C. Graves. 1976. “Optimal Storage Assignment in Automatic Warehousing Systems.” Management Science 22 (6): 629–638.

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APA Style

Zhu Jie, Liu Xiaoli, Li Juntao. (2016). Fresh Food Distribution Center Storage Allocation Strategy Analysis Based on Optimized Entry-Item-Quantity-ABC. International Journal on Data Science and Technology, 2(3), 36-40. https://doi.org/10.11648/j.ijdst.20160203.11

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ACS Style

Zhu Jie; Liu Xiaoli; Li Juntao. Fresh Food Distribution Center Storage Allocation Strategy Analysis Based on Optimized Entry-Item-Quantity-ABC. Int. J. Data Sci. Technol. 2016, 2(3), 36-40. doi: 10.11648/j.ijdst.20160203.11

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AMA Style

Zhu Jie, Liu Xiaoli, Li Juntao. Fresh Food Distribution Center Storage Allocation Strategy Analysis Based on Optimized Entry-Item-Quantity-ABC. Int J Data Sci Technol. 2016;2(3):36-40. doi: 10.11648/j.ijdst.20160203.11

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@article{10.11648/j.ijdst.20160203.11,
  author = {Zhu Jie and Liu Xiaoli and Li Juntao},
  title = {Fresh Food Distribution Center Storage Allocation Strategy Analysis Based on Optimized Entry-Item-Quantity-ABC},
  journal = {International Journal on Data Science and Technology},
  volume = {2},
  number = {3},
  pages = {36-40},
  doi = {10.11648/j.ijdst.20160203.11},
  url = {https://doi.org/10.11648/j.ijdst.20160203.11},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ijdst.20160203.11},
  abstract = {For labour-intensive field, appropriate storage location assignment is the best choice to increase order picking efficiency and reduce order cycle time, which satisfy customers and reduce cost at the same time. In this paper, we advance a storage location assignment for fresh food distribution center with a manual picker-to-parts picking system by using an optimized approach. To reflect the customer demand uncertainty, the orders received in a certain time range have been grouped and given the different coefficients according to the reference value of them. On that basis, the storage location can be designed optimally based on the Entry-Item-Quantity (EIQ) analysis, which can be used to resolve some orders picking issues, long-picking time and high inventory costs, caused by seasonal change of fresh food, unstable customer demand and repeat purchases. From the computational results, new storage allocation strategy achieves at most a 16% reduction in travel time.},
 year = {2016}
}

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TY  - JOUR
T1  - Fresh Food Distribution Center Storage Allocation Strategy Analysis Based on Optimized Entry-Item-Quantity-ABC
AU  - Zhu Jie
AU  - Liu Xiaoli
AU  - Li Juntao
Y1  - 2016/05/17
PY  - 2016
N1  - https://doi.org/10.11648/j.ijdst.20160203.11
DO  - 10.11648/j.ijdst.20160203.11
T2  - International Journal on Data Science and Technology
JF  - International Journal on Data Science and Technology
JO  - International Journal on Data Science and Technology
SP  - 36
EP  - 40
PB  - Science Publishing Group
SN  - 2472-2235
UR  - https://doi.org/10.11648/j.ijdst.20160203.11
AB  - For labour-intensive field, appropriate storage location assignment is the best choice to increase order picking efficiency and reduce order cycle time, which satisfy customers and reduce cost at the same time. In this paper, we advance a storage location assignment for fresh food distribution center with a manual picker-to-parts picking system by using an optimized approach. To reflect the customer demand uncertainty, the orders received in a certain time range have been grouped and given the different coefficients according to the reference value of them. On that basis, the storage location can be designed optimally based on the Entry-Item-Quantity (EIQ) analysis, which can be used to resolve some orders picking issues, long-picking time and high inventory costs, caused by seasonal change of fresh food, unstable customer demand and repeat purchases. From the computational results, new storage allocation strategy achieves at most a 16% reduction in travel time.
VL  - 2
IS  - 3
ER  -

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Author Information

Zhu Jie

School of Information, Beijing Wuzi University, Beijing, China
Liu Xiaoli

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

School of Information, Beijing Wuzi University, Beijing, China

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Plain Text BibTeX RIS

APA Style

Zhu Jie, Liu Xiaoli, Li Juntao. (2016). Fresh Food Distribution Center Storage Allocation Strategy Analysis Based on Optimized Entry-Item-Quantity-ABC. International Journal on Data Science and Technology, 2(3), 36-40. https://doi.org/10.11648/j.ijdst.20160203.11

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ACS Style

Zhu Jie; Liu Xiaoli; Li Juntao. Fresh Food Distribution Center Storage Allocation Strategy Analysis Based on Optimized Entry-Item-Quantity-ABC. Int. J. Data Sci. Technol. 2016, 2(3), 36-40. doi: 10.11648/j.ijdst.20160203.11

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AMA Style

Zhu Jie, Liu Xiaoli, Li Juntao. Fresh Food Distribution Center Storage Allocation Strategy Analysis Based on Optimized Entry-Item-Quantity-ABC. Int J Data Sci Technol. 2016;2(3):36-40. doi: 10.11648/j.ijdst.20160203.11

Copy | Download

@article{10.11648/j.ijdst.20160203.11,
  author = {Zhu Jie and Liu Xiaoli and Li Juntao},
  title = {Fresh Food Distribution Center Storage Allocation Strategy Analysis Based on Optimized Entry-Item-Quantity-ABC},
  journal = {International Journal on Data Science and Technology},
  volume = {2},
  number = {3},
  pages = {36-40},
  doi = {10.11648/j.ijdst.20160203.11},
  url = {https://doi.org/10.11648/j.ijdst.20160203.11},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ijdst.20160203.11},
  abstract = {For labour-intensive field, appropriate storage location assignment is the best choice to increase order picking efficiency and reduce order cycle time, which satisfy customers and reduce cost at the same time. In this paper, we advance a storage location assignment for fresh food distribution center with a manual picker-to-parts picking system by using an optimized approach. To reflect the customer demand uncertainty, the orders received in a certain time range have been grouped and given the different coefficients according to the reference value of them. On that basis, the storage location can be designed optimally based on the Entry-Item-Quantity (EIQ) analysis, which can be used to resolve some orders picking issues, long-picking time and high inventory costs, caused by seasonal change of fresh food, unstable customer demand and repeat purchases. From the computational results, new storage allocation strategy achieves at most a 16% reduction in travel time.},
 year = {2016}
}

Copy | Download

TY  - JOUR
T1  - Fresh Food Distribution Center Storage Allocation Strategy Analysis Based on Optimized Entry-Item-Quantity-ABC
AU  - Zhu Jie
AU  - Liu Xiaoli
AU  - Li Juntao
Y1  - 2016/05/17
PY  - 2016
N1  - https://doi.org/10.11648/j.ijdst.20160203.11
DO  - 10.11648/j.ijdst.20160203.11
T2  - International Journal on Data Science and Technology
JF  - International Journal on Data Science and Technology
JO  - International Journal on Data Science and Technology
SP  - 36
EP  - 40
PB  - Science Publishing Group
SN  - 2472-2235
UR  - https://doi.org/10.11648/j.ijdst.20160203.11
AB  - For labour-intensive field, appropriate storage location assignment is the best choice to increase order picking efficiency and reduce order cycle time, which satisfy customers and reduce cost at the same time. In this paper, we advance a storage location assignment for fresh food distribution center with a manual picker-to-parts picking system by using an optimized approach. To reflect the customer demand uncertainty, the orders received in a certain time range have been grouped and given the different coefficients according to the reference value of them. On that basis, the storage location can be designed optimally based on the Entry-Item-Quantity (EIQ) analysis, which can be used to resolve some orders picking issues, long-picking time and high inventory costs, caused by seasonal change of fresh food, unstable customer demand and repeat purchases. From the computational results, new storage allocation strategy achieves at most a 16% reduction in travel time.
VL  - 2
IS  - 3
ER  -

Copy | Download