WSC '89 Proceedings of the 21st conference on Winter simulation
Precise modeling and analysis of large-scale AS/RS
WSC '94 Proceedings of the 26th conference on Winter simulation
WSC '95 Proceedings of the 27th conference on Winter simulation
Flexible modeling and analysis of large-scale AS/RS-AGV systems
WSC '95 Proceedings of the 27th conference on Winter simulation
Efficient module-based modeling for a large-scale AS/RS-AGV system
WSC '96 Proceedings of the 28th conference on Winter simulation
Performance analysis of miniload systems
WSC '86 Proceedings of the 18th conference on Winter simulation
Simulation of distribution systems: simulation and analysis of non-automated distribution warehouses
Proceedings of the 32nd conference on Winter simulation
Distribution an dmaterial movement applications: efficiently modeling warehouse systems
Proceedings of the 33nd conference on Winter simulation
A simulation model and analysis: Integrating AGV's with non-automated material handling
WSC '84 Proceedings of the 16th conference on Winter simulation
Proceedings of the 34th conference on Winter simulation: exploring new frontiers
Modeling and analysis of a generic cross-docking facility
WSC '05 Proceedings of the 37th conference on Winter simulation
Conceptual simulation modeling of warehousing operations
WSC '05 Proceedings of the 37th conference on Winter simulation
A simulation based approach for supporting automated guided vehicles (AGVS) systems design
Proceedings of the 40th Conference on Winter Simulation
A greedy heuristic for locating crossovers in conveyor-based AMHS in wafer fabs
Winter Simulation Conference
Simulation for predictive control of a distribution center
Winter Simulation Conference
Simulation of yard operations and management in transshipment terminals
Proceedings of the Winter Simulation Conference
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To ensure just-in-time shipments from a general non-automated retail-cross-docking center, different items must be handled efficiently by different processes despite the many inbound shipments and frequent demand orders from retail stores. In this paper, a systematic and flexible procedure is proposed that efficiently provides critical decision-making support to logistics managers to help them understand and validate the material handling operation at a real retail-cross-docking center. The proposed procedure considers dynamic logistics operation information, such as inbound schedules of suppliers, demand data from retail-chain stores, and individual operator schedules. This detailed data is required for the performance of simulation. In addition, the procedure is applied to an actual non-automated retail-cross-docking center to confirm its effectiveness. Furthermore, the proposed method was found to be both practical and powerful in assisting logistics managers with their continuous decision-making efforts.