A Study for Storage Allocation in Synchronized Zones Based on the Association Analysis of Goods

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In this paper, the optimization methods for storage allocation in synchronized zones are discussed. We used customer orders to dig correlation between goods, and proposed an index to measure the similarity between goods, then used a heuristics way to solve the p-median clustering problem. The goods appeared in the same orders frequently are most likely to be allocated in different zones, in order to balance the labor intensity of different zones, thus the total order picking time is reduced and the resource utilization of each zone is improved.

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4658-4665

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November 2014

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© 2014 Trans Tech Publications Ltd. All Rights Reserved

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[1] Tho Le-Duc and René de Koster,2005, Determining Number of Zones in a Pick-and-pack Orderpicking System, ERASMUS RESEARCH INSTITUTE OF MANAGEMENT.

Google Scholar

[2] Caron, F., Marchet, G. and Perego, A., 1998, Routing policies and COI-based storage policies in picker-to-part systems, International Journal of Production Research 36(3), 713-732.

DOI: 10.1080/002075498193651

Google Scholar

[3] Jane, C.C. and Laih, Y.W., (2005), A clustering algorithm for item assignment in a synchronized zone order picking system, European Journal of Operational Research (to appear).

DOI: 10.1016/j.ejor.2004.01.042

Google Scholar

[4] David Ming-Huang Chianga, Chia-Ping Lina and Mu-Chen Chenb, The adaptive approach for storage assignment by mining data of warehouse management system for distribution centres, Enterprise Information Systems Vol. 5, No. 2, May 2011, 219–234.

DOI: 10.1080/17517575.2010.537784

Google Scholar

[5] Tompkins, J.A., White, J.A., Bozer, Y.A., Frazelle, E.H. and Tanchoco, J.M.A., 2003, Facilities Planning, 3rd edition (John Wiley & Sons, NJ).

Google Scholar

[6] Le-Duc, T. and De Koster, R., 2003a, An approximation for determining the optimal picking batch size for order picker in single aisle warehouses, in: M. Meller et al., eds., Progress in Material Handling Research: 2002 (The Material Handling Institute of America, Charlotte, North Carolina) 267-286.

Google Scholar

[7] Roodbergen, K.J. and De Koster, R., 2001a, Routing methods for warehouses with multiple cross aisles, International Journal of Production Research 39(9), 1865-1883.

DOI: 10.1080/00207540110028128

Google Scholar

[8] Koster, R.D., Le-Duc, T., and Roodbergen, K.J., 2007. Design and control of warehouse order picking: A literature review. European Journal of Operational Research, 182 (2), 481–501.

DOI: 10.1016/j.ejor.2006.07.009

Google Scholar

[9] Heskett, J.L., 1963. Cube-per-order index – a key to warehouse stock location. Transport and Distribution Management, 3, 27–31.

Google Scholar

[10] Heskett, J.L., 1964. Putting the cube-per-order index to work in warehouse layout. Transport and Distribution Management, 4, 23–30.

Google Scholar

[11] van Oudheusden, D.L. and Zhu, W., 1992. Storage layout of AS/RS racks based on recurrent orders. European Journal of Operation.

DOI: 10.1016/0377-2217(92)90234-z

Google Scholar