Correlated assignment strategy can improve any order-picking operation
Industrial Engineering
Shared storage policies based on the duration stay of unit loads
Management Science
Software for dynamic reconfigurable order picking systems
ICC&IE-94 Selected papers from the 16th annual conference on Computers and industrial engineering
Selected topics on assignment problems
Discrete Applied Mathematics
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This study presents slotting methodologies for a zone-based carton picking distribution system (DC). The study involves a slotting problem: assigning SKUs to slots in the zone-based carton picking DC in which we have predetermined the assignment of items into cartons (cartonization). First we present a mathematical formulation for solving the slotting problem. Due to the difficulty in solving large problems, we develop four two-phase heuristics for the slotting problem. One of the heuristics presented solves the slotting problem using a simulated annealing improvement heuristic based on correlated interchange (SA-C). Since the performance of the SA-C heuristic depends on the correlation of items in the same carton, we also develop a correlated carton list generation methodology with SKUs correlation. Promising computational results are shown using the data representative of a large DC.