Abstract
We investigate the impact of zoning decisions in a collaborative order-picking system where autonomous mobile robots (AMRs) transport batches of orders and human pickers retrieve and load items onto the robots. The key decisions include batching orders for AMRs, assigning pickers to zones, and routing both robots and pickers. We study three coordination strategies: no zoning, static zoning, and dynamic zoning, and develop MIP models and solution heuristics for each. Computational results indicate that dynamic zoning provides an acceptable balance between performance and practical simplicity.
| Original language | English |
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| Publication status | Acceptance date - 12 Mar 2026 |
| Event | 24th Conference of the International Federation of Operational Research Societies - University of Vienna, Vienna, Austria Duration: 12 Jul 2026 → 17 Jul 2026 https://ifors2026.at/home/ |
Conference
| Conference | 24th Conference of the International Federation of Operational Research Societies |
|---|---|
| Abbreviated title | IFORS 2026 |
| Country/Territory | Austria |
| City | Vienna |
| Period | 12/07/26 → 17/07/26 |
| Internet address |
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