S&OP: Sales and Operations Planning
Bridge the gap between strategic demand and factory floor capacity. Turn long-term goals into achievable production plans.
See S&OP in Action
Machine Loading Dashboard
Visualizing finite capacity distribution across the factory floor.
Mathematical Optimization ()
Algorithmic scheduling minimizing setups and respecting constraints.
Capacity vs. Demand Analysis
Crossing data to generate an achievable production consensus.
Mathematical Resource Optimization
Seed APS uses powerful mathematical algorithms (MILP and heuristics) to load resources with maximum efficiency. We consider setup matrices, tooling, labor constraints, and priorities simultaneously to find the absolute best production plan.
Detailed Machine Loading
Stop guessing your long-term capacity. Get finite-capacity visibility into the exact load on every single machine, work center, or production line. Easily identify bottlenecks, underutilized assets, and plan future shift requirements before they become critical issues.
Achievable & Adjusted Demand
We cross your sales forecast and ideal demand with your harsh factory floor reality. By analyzing finite capacity and material constraints over time, Seed APS filters the raw demand to generate an 'Adjusted Demand' — a realistic, achievable plan that aligns sales expectations with actual production capabilities.