A performance evaluation model for order picking warehouse design
Computers and Industrial Engineering - Special issue: Logistics and supply chain management
A dynamic logistics process knowledge-based system - An RFID multi-agent approach
Knowledge-Based Systems
Evaluation of the throughput of a multiple-picker order picking system with congestion consideration
Computers and Industrial Engineering
Design of a RFID case-based resource management system for warehouse operations
Expert Systems with Applications: An International Journal
A software model to prototype ant colony optimization algorithms
Expert Systems with Applications: An International Journal
Computers and Operations Research
Computers and Industrial Engineering
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This paper develops a routing method to control the picker congestion that challenges the traditional assumption regarding the narrow-aisle order picking system. We proposes a new routing algorithm based on Ant Colony Optimization (ACO) for two order pickers (A-TOP) with congestion consideration. Using two extended dedicated heuristics with congestion consideration as reference group, a comprehensive simulation study is conducted to evaluate the effectiveness of A-TOP. The simulation proves that A-TOP achieves the shortest total picking time in most instances and performs well in dealing with the congestion. The impacts of warehouse layout, order size, and pick:walk-time ratio on A-TOP and system performance are analyzed as well. A-TOP can adapt to different warehouse configurations, meanwhile, it can be easily extended to the situation with more than two order pickers.