production-scheduling

Production scheduling protects bottleneck throughput by identifying the true constraint using OEE and utilization data, then applying buffer management to minimize downstream starvation. It sequences jobs using TOC/DBR logic to maximize throughput.

Changeover sequences are optimized using a setup matrix with nearest-neighbor and 2-opt algorithms. The skill evaluates campaign versus mixed-model strategies to provide explicit cost tradeoffs for finite-capacity planning across work centers.

Disruption re-sequencing unlocks affected jobs and applies a structured priority framework to re-plan. The skill integrates ERP/MES feedback to publish updated schedules within defined stabilization windows while considering operator labor.

Finite capacity planning supports ERP and MES integration through execution feedback loops across work centers. The skill dispatches jobs by priority rules like EDD or SPT while respecting finite capacity constraints and operator labor considerations.

Setup-aware production scheduling supports dispatching rules including EDD, SPT, and setup-aware variants. The skill sequences jobs based on these priorities while applying stabilization-window policies to balance changeover efficiency and due-date performance.

Bottleneck management prioritizes protecting the constraint using buffer logic, while mixed-model scheduling balances changeovers across work centers. The skill evaluates setup matrices and campaign strategies to choose the optimal approach based on cost tradeoffs.