Abstract
Warehouse management system (WMS) today is viewed as a basis to reinforcing company logistics. Order picking is one of the routine operations in warehouses. Before picking a large amount of orders, effectively grouping orders into batches can speed up product movement within the warehouse. Several batching heuristics have been proposed in the literature for minimizing travel distance or travel time. This paper presents an order batching approach in a distribution center with a parallel-aisle layout. A heuristic order batching approach based on data mining is developed in this paper.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Tompkins JA, White JA, Bozer YA, Frazelle, E. H., Tanchoco, J. M. A. and Trevino, J. (1996) Facilities Planning. 2nd edn, John Wiley & Sons, New York.
Van den Berg JP (1999) A literature survey on planning and control of warehousing systems. IIE Transactions 31:751–762.
Brynzer H, Johansson MI (1996) Storage location assignment: using the product structure to reduce order picking times. International Journal of Production Economics 46–47:595–603.
Rosenwein MB (1996) A comparison of heuristics for the problem of batching orders for warehouse selection. International Journal of Production Research 34:657–664.
Elsayed EA (1981) Algorithms for optimal material handling in automatic warehousing systems. International Journal of Production Research 19:525–535.
Elsayed EA, Stern RG (1983) Computerized algorithm for ordering in automated warehousing systems. International Journal of Production Research 21:579–586.
Elsayed EA, Unal IO (1989) Order batching algorithms and travel time estimation for automated storage/retrieval systems. International Journal of Production Research 27:1097–1114.
Gibson DR, Sharp GP (1992) Order batching procedures. European Journal of Operational Research 58:57–67.
Hwang H, Baek W, Lee MK (1988) Clustering algorithms for order picking in an automated storage and retrieval system. International Journal of Production Research 26:189–201.
Hwang H, Lee MK (1988) Order batching algorithms for a man-on-board automated storage and retrieval system. Engineering Cost and Production Economics 13:285–294.
Agrawal R, Imielinski T, Swami A (1993) Mining association rules between sets of items in large databases. ACM SIGMOD Conference Washin gton DC, USA, pp. 254–259.
Srikant R, Agrawal R (1997) Mining generalized association rules. Future Generation Computer Systems 13:161–180.
Han J, Kamber M (2001) Data Mining: Concepts and Techniques. Morgan Kaufmann, San Francisco.
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2005 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Chen, MC., Huang, CL., Wu, HP., Hsu, MF., Hsu, FH. (2005). A Data Mining Technique to Grouping Customer Orders in Warehouse Management System. In: Abraham, A., Dote, Y., Furuhashi, T., Köppen, M., Ohuchi, A., Ohsawa, Y. (eds) Soft Computing as Transdisciplinary Science and Technology. Advances in Soft Computing, vol 29. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-32391-0_109
Download citation
DOI: https://doi.org/10.1007/3-540-32391-0_109
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-25055-5
Online ISBN: 978-3-540-32391-4
eBook Packages: EngineeringEngineering (R0)