Turnover-based storage in non-traditional unit-load warehouse designs

Abstract

This article investigates the effect of assigning the most-active items to the best locations in unit-load warehouses with non-traditional aisles. Specifically, the performance of flying-V and fishbone designs are investigated when products exhibit different velocity profiles. Both single-and dual-command operations are considered for a warehouse where receiving and shipping are located at the midpoint of one side of the warehouse. For dual-command operations, a fishbone design shows similar reductions in travel distances for both random and turnover-based storage policies. The fishbone designs that provide the best performance have a diagonal cross aisle that extends to the upper corners of the picking space and are approximately half as tall as they are wide. In general, warehouse design parameters that perform best under random storage also perform well under turnover-based storage.Keywords: Warehouses, turnover-based storage, dual-command operations, fishbone aisles, flying-V cross aisle optimal facility layout. AIIE Transactions, 4(2), 144-147. Malmborg, C.J. and Krishnakumar, B. (1987) On the optimality of the cube per order index for conventional warehouses with dual command cycles. Material Flow, 4, 169-175. Malmborg, C.J. and Krishnakumar, B. (1990) A revised proof of optimality for the cube-per-order index rule for stored item location.

Unit-load storage assignment strategy for warehouses in seismic areas

“…Assignment strategies for UL warehouses face the ULAP seeking the minimum average travelled time and distance for the S/R activities. The aim is to minimise the total material handling cost defining the optimal storage location for each product type (Ang, 2012;Carlo & Giraldo, 2012;Gagliardi, Renaud, & Ruiz, 2012;Gu, Goetschalckx, & McGinnis, 2007;Ho & Sarma, 2008;Lee & Schaefer, 1996;Pohl, Meller, & Gue, 2011;Pohl et al, 2009;Rao & Adil, 2014;Van Den Berg, Sharp, Gademann, & Pochet, 1998).…”

Analytical Optimization for the Warehouse Sizing Problem Under Class-Based Storage Policy

“…Finally, the C-products are located in the region farthest away from the P&D point. A-products region and Bproducts region have "triangular" shapes, because we are using a rectilinear distance [15].…”

“…In this paper we use an ABC product classification and a distance-based slotting strategy [15], locating the products with highest turnovers nearest to the P&D point ( Figure 1). This section is devoted to find the best location for the P&D point and the optimal geometry for such a warehouse in order to minimize the Expected Value of the travel distance.…”

“…In the literature, there are some papers closely related with ours in the sense that they consider the warehouse layout problem jointly with storage assignment policies [15], [20], [21], [22]. These studies approach the integrated problem using heuristics and simulation techniques and concluded that in general the best warehouse design under random storage policies also has a good performance for other storage assignments.…”

“…It consists in locating the most important location in the most preferable position. Pohl et al [15] label it as distance-based slotting strategy. In this way, class-based storage policies have a lower expected travel time to pick and retrieve loads when compared to randomize policies.…”