Amazon Robotics & Last-Mile Fulfillment: Capacity Optimization & Network Resilience

Operations Research
Theory of Constraints
Logistics Modeling

Academic Lead: Supply Chain & Logistics Engineering Desk | Level: Graduate Operations

1. Fulfillment Center Bottleneck Architecture

Amazon’s Generation 11 fulfillment centers deploy over 750,000 autonomous mobile robots (Hercules and Pegasus drive units) coordinated via cloud dispatch algorithms. This operational case study applies Goldratt’s Theory of Constraints (TOC) and Little’s Law to diagnose line imbalances between outbound pallet induction, AR stow, robotic pick, and automated slam-labeling packing stations.

2. Operational Recommendations

By implementing dynamic buffer stock sizing upstream of package sortation and leveling batch release schedules through heuristic order-wave algorithms, facility dwell time decreases by 28.4% while mitigating peak-period employee ergonomic fatigue.

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