Evaluating the effects of different factors on the order picking efficiency in the single-block warehouse

Authors

  • Makusee Masae Statistics and Applications Research Unit, Division of Computational Science, Faculty of Science, Prince of Songkla University
  • Wasin Padungwech Department of Mathematics, Faculty of Science, Mahidol University
  • Panupong Vichitkunakorn Applied Analysis Research Unit, Division of Computational Science, Faculty of Science, Prince of Songkla University

Keywords:

picking route, storage assignment, order picking, warehousing

Abstract

Warehouse operations are labor-intensive activities, and they account for the highest share of the total logistics cost. Among the various operations in warehouses, order picking, which is the process of retrieving a set of requested items from specified storage locations in a warehouse, is one of the most critical ones. The picking travel distance required by the order pickers has profound effects on the warehouse throughput. Hence, reducing this unproductive traveling of the order pickers is a significant lever for increasing the total warehouse throughput. The focus of the paper at hand is to evaluate the effects of four main factors, including pick-list sizes, depot location, order picker routing policies, and storage assignment policies on the picking travel distance in a single block warehouse. We simulate all possible combinations of several levels and evaluate the main and interaction effects using the analysis of variance (ANOVA). According to ANOVA analysis, all main single effects and two-way interactions have a statistically significant effect on the picking travel distance at a level of significance  of 0.05. On the other hand, most of the three-way interactions are not statistically significant at an  of 0.05, except the three-way interactions between pick-list sizes, depot location, and storage assignment policies. In terms of four-way interactions, they are not statistically significant at an  of 0.05.

References

C. H. Glock and E. H. Grosse, "Storage policies and order picking strategies in U-shaped order-picking systems with a movable base," in International Journal of Production Research, vol. 50, no. 16, pp. 4344-4357, 2012.

S. Henn, S. Koch, H. Gerking and G. Wäscher, "A U-shaped layout for manual order-picking systems," in Logistics Research, vol. 6, no. 4, pp. 245-261, 2013.

T. Van Gils, K. Ramaekers, A. Caris and R. B. de Koster, "Designing Efficient Order Picking Systems by Combining Planning Problems: State-of-the-art Classification and Review," in European Journal of Operational Research, vol. 267, no. 1, pp. 1-15, 2018.

L. Pansart, N. Catusse and H. Cambazard, "Exact algorithms for the order picking problem," in Computers & Operations Research, vol. 100, pp. 117-127, 2018.

T. Franzke, E. H. Grosse, C. H. Glock and R. Elbert, "An investigation of the effects of storage assignment and picker routing on the occurrence of picker blocking in manual picker-to-parts warehouses," in The International Journal of Logistics Management, vol. 28, no. 3, pp. 841-863, 2017.

F. Chen, G. Xu and Y. Wei, " Heuristic routing methods in multiple-block warehouses with ultra-narrow aisles and access restriction," in International Journal of Production Research, vol. 57, no. 1, pp. 228-249, 2019.

I. Žulj, C. H. Glock, E. H. Grosse and M. Schneider, "Picker routing and storage-assignment strategies for precedence-constrained order picking," in Computers & Industrial Engineering, vol. 123, pp. 338-347, 2018.

R. De Koster, T. Le-Duc and K. J. Roodbergen, "Design and control of warehouse order picking: A literature review," in European Journal of Operational Research, vol. 182, no. 2, pp. 481-501, 2007.

M. Çelik and H. Süral, " Order picking under random and turnover-based storage policies in fishbone aisle warehouses," in IIE Transactions, vol. 46, no. 3, pp. 283-300, 2014.

M. Masae, C. H. Glock and E. H. Grosse, "Order picker routing in warehouses: A systematic literature review," in International Journal of Production Economics, vol. 224, pp. 1-22, 2020.

C. G. Petersen and R. W. Schmenner, "An evaluation of routing and volume based storage policies in an order picking operation," in Decision Sciences, vol. 30, no. 2, pp. 481-501, 1999.

C. G. Petersen, G. R. Aase, and D. R. Heiser, "Improving order-picking performance through the implementation of class-based storage," in International Journal of Physical Distribution & Logistics Management, vol. 34, no. 7, pp. 534-544, 2004.

H. D. Ratliff and A. S. Rosenthal, "Order-picking in a rectangular warehouse: a solvable case of the traveling salesman problem," in Operations Research, vol. 31, no. 3, pp. 507-521, 1983.

P. Shaw, "Using constraint programming and local search methods to solve vehicle routing problems," Proceeding of International conference on principles and practice of constraint programming, 1998, pp. 417-431.

S. Ropke and D. Pisinger, "An adaptive large neighborhood search heuristic for the pickup and delivery problem with time windows," in Transportation science, vol. 40, no. 4, pp. 455-472, 2006.

L. M. Pohl, R. D. Meller and K. R. Gue, "Turnover-based storage in non-traditional unit-load warehouse designs," in IIE Transactions, vol. 43, no. 10, pp. 703-720, 2011.

P. S. Bender, "Mathematical modeling of the 20/80 rule: theory and practice," in Journal of Business Logistics, vol. 2, no. 2, pp. 139-157, 1981.

S. Mirjalili, “Genetic Algorithm,” in Evolutionary Algorithms and Neural Networks. Studies in Computational Intelligence, vol. 780, pp. 43-55, 2019.

Downloads

Published

2022-06-18