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.
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References
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)
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)
Frazele, E.A., Sharp, G.P.: Correlated assignment strategy can improve any order-picking operation. Ind. Eng. 21(4), 33–37 (1989)
Petersen II, C.G.: An evaluation of order picking routing policies. Int. J. Oper. Prod. Manag. 17(11), 1098–1111 (1997)
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)
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)
Hausman, W.H., Schwarz, L.B., Graves, S.C.: Optimal storage assignment in automatic warehousing systems. Manag. Sci. 22(6), 629–638 (1976)
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)
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)
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)
Yu, Y., De Koster, M.B.M.: On the suboptimality of full turnover-based storage. Int. J. Prod. Res. 51(6), 1635–1647 (2013)
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)
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)
Ang, M., Lim, Y.F., Sim, M.: Robust storage assignment in unit-load warehouses. Manag. Sci. 58(11), 2114–2130 (2012)
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).
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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
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DOI: https://doi.org/10.1007/978-981-13-1651-7_26
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