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OpsMath™

Operations research, packaged. Optimal schedules, plans, and routes — solved in minutes, not in spreadsheets.

OpsMath turns planning problems that today take a team and a week of spreadsheet wrangling into solver runs that finish before the morning meeting. Production schedules, turnaround sequencing, maintenance backlog, logistics routing, and crew assignment — each modeled as a proper optimization problem with your real constraints, your real costs, and your real preferences.

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Who it is for

  • Production schedulers balancing throughput, changeovers, and delivery commitments
  • Turnaround managers sequencing thousands of jobs across critical-path windows
  • Maintenance planners deciding which of 4,000 backlog items to schedule next week
  • Logistics and dispatch teams routing trucks, rail cars, or service crews

The problem we are solving

Excel-based planners give you a plan that is feasible but rarely optimal — and rebuilding it when reality changes takes a day. Generic APS tools are heavy, expensive, and force your operation into their data model. Both leave 5–15% margin on the table every week.

How it works

Model your problem, not a template

Our operations research team formulates your specific planning problem — production line, turnaround, backlog, route — as a mixed-integer or constraint program. Your changeover matrix, crew skills, contractor availability, and physical constraints all enter the model.

Solve fast with commercial solvers

OpsMath runs on Gurobi, CPLEX, or OR-Tools depending on problem class. Most production-week schedules solve in under 4 minutes; turnaround sequencing of 8,000 jobs solves overnight. Planners get a configurable UI, not a black box.

Re-plan when reality changes

Late shipment, broken pump, sick crew — re-run with new constraints and get a revised plan in minutes, with a clear diff showing what changed and why.

Measurable benefits

Ranges below reflect the low and high end of outcomes observed across pilots and production deployments. Your numbers will depend on your starting baseline.

−85%
Schedule build time
vs Excel/manual planning cycle
+3–8%
Throughput uplift
from better sequencing alone
−5–12%
Turnaround duration
from critical-path optimization

Capabilities

  • Production scheduling with changeover, crew, and material constraints
  • Turnaround / shutdown sequencing with critical path and resource leveling
  • Maintenance backlog scheduling against window, craft, and parts availability
  • Vehicle and crew routing with time windows and capacity
  • Spare-parts inventory optimization with lead-time and criticality
  • Scenario comparison: 'what if we add a second crane?' answered in minutes

Integrates with

We connect to the systems you already run. No rip-and-replace.

SAP PP, APO, S/4HANAPrimavera P6, MS ProjectMaximo, SAP PM for backlogCustom CSV/API for niche planning tools

Proof point

A specialty chemicals producer replaced its weekly Excel scheduling cycle with OpsMath, lifting line throughput 6.2% in the first quarter and cutting planner time from 22 to 4 hours per week.

Frequently asked

The questions buyers in your seat actually ask before committing to OpsMath.

Our planners trust their Excel model. How do we avoid a 'black-box' reaction?
OpsMath shows the constraints it honored, the objective it optimized, and a side-by-side diff vs the planner's manual plan. Planners can lock decisions, relax constraints, and re-solve. The tool augments the planner — they stay in the driver's seat.
How is this different from an APS like SAP APO or Aspen Plant Scheduler?
Traditional APS forces your operation into its data model and takes 12–18 months to deploy. OpsMath formulates your specific problem against your real constraints, deploys in weeks, and uses commercial solvers (Gurobi, CPLEX, OR-Tools) under the hood. Lighter, faster, and fits the problem instead of the other way round.
What size of problem can it actually solve in time for our morning meeting?
A weekly production schedule for a multi-line plant typically solves in under 4 minutes. Turnaround sequencing of 8,000 jobs solves overnight. We benchmark on your problem before scoping so the runtime is known, not promised.
What happens when reality changes mid-week — a breakdown, a late shipment, a sick crew?
Re-run with the new constraints. OpsMath returns a revised plan in minutes with a clear diff highlighting what moved and why, so the planner can communicate changes confidently to operations.
Do we need an operations research PhD on staff to use it?
No. Our OR team owns the model. Your planners interact through a configurable UI built for their workflow. We hand over documentation and stay available to evolve the model as your operation changes.

Get the plan that leaves nothing on the table.

Send us one planning problem. We will return a working model and a benchmarked solution against your last 8 weeks of actuals within 30 days.

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