We have just moved into Phase 2 of our large-scale automation program and are ready to push our production line well beyond its current throughput. The scope here is sharply focused on production line optimization with one clear goal: substantially increase output speed by refining the performance of our robotic arms. Current environment • Multiple six-axis industrial robots (FANUC and ABB) coordinated through a Siemens PLC and a central SCADA layer. • On-prem edge servers running ROS2, real-time EtherCAT, and a custom Python/C++ scheduling service. What I need in this phase 1. Motion-planning logic that minimizes dwell time and overlap conflicts between adjacent robots. 2. A software integration layer—ROS2 or comparable middleware—that feeds live telemetry into the PLC for adaptive cycle-time tuning. 3. Simulation or digital-twin validation (TwinCAT, Process Simulate, or similar) to prove the new timings before we touch the physical line. Acceptance criteria • Cycle time per unit reduced by at least 15 % without compromising positional accuracy (±0.05 mm). • New control code fully documented and deployable from our GitLab CI pipeline. • Successful stress test: 72-hour continuous run hitting the new target rate with zero fault-induced stops. While the main emphasis is on the robotic arms, any insights that indirectly affect conveyors or assembly stations are welcome if they further accelerate the line. Let’s turn raw robot speed into measurable throughput gains—cleanly, safely, and fast.