APS 3 feature areas

Advanced Planning & Scheduling.

Constraint-aware finite scheduling across plants, lines, and resources.

01

Optimization Engine

Forward, backward, finite-capacity algorithms.

  • Makespan minimization
  • Throughput maximization
  • Load balancing
  • Multi-objective solving
  • Heuristic and exact methods
02

Interactive Gantt

See it, drag it, commit it.

  • Resource swimlanes
  • Drag-and-drop reschedule
  • Critical path overlay
  • Conflict highlighting
  • What-if branches
03

Scenario Comparison

Test before you commit.

  • Side-by-side KPI delta
  • Save and share scenarios
  • Scenario-to-plan promotion
  • Audit history

APS FAQ

Advanced Planning & Scheduling — questions buyers actually ask.

Does NexliOne APS use finite-capacity scheduling?
Yes. The optimization engine supports forward and backward finite-capacity algorithms with calendar awareness, skill and tool constraints, and predecessor enforcement. Schedules respect what your plant can actually produce, not what the MRP run hoped for.
Can NexliOne APS optimize for makespan, throughput, or load balancing?
Yes — multi-objective solving lets you pick the weight on makespan minimization, throughput maximization, or load balancing per scenario. Heuristic and exact methods are both available depending on problem size.
How does the interactive Gantt work in NexliOne APS?
The Gantt shows resource swimlanes with drag-and-drop reschedule, critical-path overlay, conflict highlighting, and what-if branches. Operations can be moved by hand and the system re-checks constraints in place — no commit-then-fix loop.
Can I compare APS scenarios side-by-side before committing?
Yes. Scenarios save independently, render side-by-side with KPI deltas (makespan, on-time delivery, utilization), and promote to plan when accepted. An audit history records who chose which scenario and why.
Does APS schedule across multiple plants and lines?
Yes. NexliOne APS schedules across plants, lines, and resources with alternative routing suggestions when a primary route is constrained. The same scheduling engine drives both single-line and network-level problems.

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