Business problem
Manual planning and local optimization create bottlenecks, speed losses, and avoidable conflicts between production, maintenance, and quality work.
Back to solutions
Performance
Production Optimization
PrismaWerk builds constraint-aware models that show where production flow is actually limited. Operations teams use them to compare scenarios, pick better schedules, and claw back capacity without buying new equipment.
Talk through your bottleneck
Expected outcomes
- +Higher throughput from existing assets
- +Faster planning cycles
- +Better visibility into bottlenecks and constraint tradeoffs
Methods
Mixed-integer programmingConstraint optimizationBottleneck analysisScenario simulation
Workflow
From operating question to usable system.
- Step 1
Map operational constraints, resources, timing windows, and production targets.
- Step 2
Build optimization models that evaluate feasible schedules and tradeoffs.
- Step 3
Deliver decision-ready planning outputs and scenario comparisons.
Related proof
Case studies connected to production optimization.
AvailabilityManufacturing
Prioritized Maintenance Platform: $2.4M Annual Value
A maintenance prioritization system that used simulation to rank interventions by workshop-level capacity impact and quantify annual value.
- Annual Value
- $2.4M
- Payback Period
- 30-60d
- Recovered/72h
- 5.3h
PerformanceSupply Chain
Integrated Operations Planning & Optimization
A constraint optimization framework for production and resource planning, designed to resolve conflicts across maintenance, production, and quality activities.
- Solve Time
- <1 sec
- Activities Planned
- 400+
- Dynamic Opt.
- Level 4
Next step
Ready to explore production optimization?
Bring a current process, line, or data challenge. PrismaWerk will help identify the strongest first move.