Planning and scheduling for operations where time, resources and money move together. ProdPlan for manufacturing. Vantage for real estate development.
Factory managers already know the plan will change. The hard part is knowing which jobs must move, which jobs can stay, and what each recovery choice costs before the floor starts chasing the wrong answer.
The spreadsheet works because one planner knows the exceptions. When that person is out, plant knowledge becomes a bottleneck.
A job runs slow, a resource waits on QA, a material arrives late. The old plan may still be close, but nobody knows what can safely stay put.
Can you hit Friday without overtime? What is the cost of moving one customer up? Most teams decide by pressure, not by seeing the real operating tradeoff.
A rush order or machine-down event can ripple through the whole production flow. Without a repair strategy, too many jobs move.
A factory and a tower are the same mathematics wearing different clothes: finite resources, hard sequences, immovable dates and a cost for every choice. We build a product for each, because the physics differ even when the problem does not.
Manufacturing
Production scheduling for multi-stage batch manufacturers.
Mix tanks, totes, fill lines, shifts, changeovers, materials and due dates — modelled as the hard constraints they actually are. When a line goes down or a rush order lands, ProdPlan re-solves the plant and returns the trade-offs in money.
Real Estate Development
Programme scheduling for developers and major projects.
Activities, calendars, crews, equipment, procurement, permits and cash — with an exact cost ledger to the fils. When an approval moves or a facade shipment slips, Vantage compares feasible recovery options and prices each one before you commit.
Both products share one discipline: model the real constraints, search hard for alternatives, verify independently, express the trade-off in money, and leave the decision with the operator.
It builds runnable schedules from real constraints, keeps checking them against reality, and gives managers recovery choices instead of another spreadsheet panic.
Model equipment, work centers, labor, materials, changeovers, compatibility rules, due dates, and work already in progress in one planning system.
Compare fastest, lowest-labor, least-disruptive, and best-on-time plans so the cost of speed, overtime, and churn is visible.
When a job runs late, a machine goes down, or materials slip, Alacrity checks whether the plan still holds and repairs what needs to move.
AI agents keep reviewing the plan, trying alternatives, learning from prior attempts, and precomputing contingency responses where possible.
Respect completed and in-progress work when rebuilding the plan, so recovery does not casually rewrite what the operators already started.
Ask what happens if a key resource goes down, a job finishes two hours late, staffing changes, or a rush order jumps the queue.
Alacrity is not a one-time planning run. It is a plant-aware loop for building, checking, repairing, and approving schedules as the day changes.
Capture equipment, work centers, shifts, labor, materials, changeovers, compatibility rules, due dates, and active work.
Generate a schedule that meets due dates first, avoids unnecessary disruption second, then balances labor, speed, inventory, cost, and utilization.
Track execution drift, completed work, in-progress jobs, downtime, material changes, rush orders, and staffing constraints against the active plan.
Show the least-disruptive path, the fastest path, the lowest-labor path, and the delivery-risk impact before the manager commits.
Managers stay in control. Alacrity recommends and explains; your team chooses the policy, approves the move, and keeps the floor aligned.
The pilot focuses on operational questions that usually require a senior scheduler, a spreadsheet, and several tense meetings to answer.
Check whether the active plan still holds, then repair the right portion when it does not.
Respect completed and in-progress work so the recovery does not rewrite the past.
See delivery risk, overtime pressure, moved jobs, and throughput effect side by side.
Alacrity is built for high-changeover operations where equipment, labor, materials, due dates, and customer priorities interact. We are onboarding design partners who want to test the system against their actual schedule pressure.
Built for factories where constraints interact
The fastest path is not a heavy integration project. Start with a bounded plant model, prove the disruption workflows, then decide how deeply to connect live systems.
Prove the recovery loop with real data
Scoped pilot engagement
Operate the schedule day to day
Per-site pricing
Scale scheduling intelligence across sites
Tailored to your requirements
Alacrity sits at the intersection of factory operations, production scheduling, and AI systems that learn from real attempts.
Founder & CEO
Georgia Institute of Technology alumnus in Applied Mathematics and Industrial Engineering with a multi-decade career in production-control systems, including over a decade as a lead Boeing software engineer for automated assembly systems supporting 787, 777X, F-15, 737, and other factories with multi-billion-dollar aircraft production flow.
President, US Business Development & Operations
Over 30 years of hands-on manufacturing operations experience, including practical plant constraints, supplier pressure, staffing realities, and customer delivery expectations.
Factories do not fail because planners lack effort. They fail because the plan has to coordinate equipment, work centers, materials, crews, changeovers, due dates, and work already moving through the floor.
The real product is not a black-box answer. It is a reliable operating layer that helps a manager understand what changed, what can stay put, what must move, and what each option means for delivery, labor, throughput, and cost.
That is the wedge: high-changeover, constraint-heavy plants where spreadsheets carry too much operational risk and every disruption teaches the system what a better recovery looks like.
Fewer firefights, clearer recovery options, and less dependence on one heroic scheduler.
Throughput, delivery confidence, overtime pressure, and true operating tradeoffs in one place.
A factory-specific learning loop for a painful, defensible wedge in production scheduling.
Clear answers for teams evaluating whether Alacrity fits their plant before committing to a larger rollout.
Our team is here to help. Reach out and we'll get back to you within 24 hours.
Run a scheduling pilot around the questions your team already asks: can we take the order, hit Friday without overtime, recover from an equipment-down event, and move fewer jobs when reality changes?
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