Skip to main content

Research on the Management and Optimization of Warehouse Location in e-Commerce Enterprises

  • Conference paper
  • First Online:
Computational Intelligence and Intelligent Systems (ISICA 2017)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 874))

Included in the following conference series:

  • 824 Accesses

Abstract

In the e-commerce environment, the quantity of order in e-commerce enterprises is increasing, the number of single order is small, and there are many kinds of them, which puts forward higher requirements for picking operation. The distribution of the cargo location in the e-commerce warehouse is the key factor affecting the selection efficiency, which directly affects the response speed of the customer order. The most effective way to improve the efficiency of storage operation is to optimize the storage location of goods.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Subscribe and save

Springer+ Basic
$34.99 /Month
  • Get 10 units per month
  • Download Article/Chapter or eBook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Similar content being viewed by others

References

  1. Tian, G., Liu, C., Lin, J., et al.: Research and development on optimization and scheduling problems in an automated warehouse. J. Shandong Univ. Technol. 31(1), 12–17 (2001)

    Google Scholar 

  2. Yin, G., He, F., Sheng, D.: Research on the storage alignment optimization model for automated stereoscopic warehouse. J. Fujian Univ. Technol. 4(3), 347–350 (2006)

    Google Scholar 

  3. Frazele, E.A., Sharp, G.P.: Correlated assignment strategy can improve any order-picking operation. Ind. Eng. 21(4), 33–37 (1989)

    Google Scholar 

  4. Petersen II, C.G.: An evaluation of order picking routing policies. Int. J. Oper. Prod. Manag. 17(11), 1098–1111 (1997)

    Article  Google Scholar 

  5. Van den Berg, J.P., Zijm, W.H.M.: Models for warehouse management: classification and examples. Int. J. Prod. Econ. 59(1), 519–528 (1999)

    Article  Google Scholar 

  6. De Koster, R., Le-Duc, T., Roodbergen, K.J.: Design and control of warehouse order picking: a literature review. Eur. J. Oper. Res. 182(2), 481–501 (2007)

    Article  Google Scholar 

  7. Hausman, W.H., Schwarz, L.B., Graves, S.C.: Optimal storage assignment in automatic warehousing systems. Manag. Sci. 22(6), 629–638 (1976)

    Article  Google Scholar 

  8. Chan, F.T.S., Chan, H.K.: Improving the productivity of order picking of a manual-pick and multi-level rack distribution warehouse through the implementation of class-based storage. Expert Syst. Appl. 38(3), 2686–2700 (2011)

    Article  MathSciNet  Google Scholar 

  9. Yu, Y., De Koster, M.B.M.: Designing an optimal turnover-based storage rack for a 3D compact automated storage and retrieval system. Int. J. Prod. Res. 47(6), 1551–1571 (2009)

    Article  Google Scholar 

  10. Gagliardi, J.P., Renaud, J., Ruiz, A.: On storage assignment policies for unit-load automated storage and retrieval systems. Int. J. Prod. Res. 50(3), 879–892 (2012)

    Article  Google Scholar 

  11. Yu, Y., De Koster, M.B.M.: On the suboptimality of full turnover-based storage. Int. J. Prod. Res. 51(6), 1635–1647 (2013)

    Article  Google Scholar 

  12. Pohl, L.M., Meller, R.D., Gue, K.R.: Turnover-based storage in non-traditional unit-load warehouse designs. IIE Trans. 43(10), 703–720 (2011)

    Article  Google Scholar 

  13. Accorsi, R., Manzini, R., Bortolini, M.: A hierarchical procedure for storage allocation and assignment within an order-picking system. A case study. Int. J. Logist. Res. Appl. 15(6), 351–364 (2012)

    Article  Google Scholar 

  14. Ang, M., Lim, Y.F., Sim, M.: Robust storage assignment in unit-load warehouses. Manag. Sci. 58(11), 2114–2130 (2012)

    Article  Google Scholar 

Download references

Acknowledgement

The study is supported by College Students’ scientific training program of Information College of Beijing Wuzi University in 2017, and Beijing the Great Wall scholars program (No.CIT&TCD20170317).

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Huwei Liu .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2018 Springer Nature Singapore Pte Ltd.

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Liu, H., Li, Z. (2018). Research on the Management and Optimization of Warehouse Location in e-Commerce Enterprises. In: Li, K., Li, W., Chen, Z., Liu, Y. (eds) Computational Intelligence and Intelligent Systems. ISICA 2017. Communications in Computer and Information Science, vol 874. Springer, Singapore. https://doi.org/10.1007/978-981-13-1651-7_26

Download citation

  • DOI: https://doi.org/10.1007/978-981-13-1651-7_26

  • Published:

  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-13-1650-0

  • Online ISBN: 978-981-13-1651-7

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics