Advanced Planning and Scheduling (APS)

Finite capacity planning driven by real OEE data, dimensional quality and QIF (ISO 23952) integration

IVR APS generates production schedules based on actual equipment performance, availability and quality losses calculated from dimensional results automatically collected from IMTE — Inspection Measuring and Test Equipment. Planning parameters are aligned with QIF-structured characteristics and SPC behavior, ensuring that schedules reflect real process capability rather than theoretical assumptions.

Planning based on measurable capacity

  • Finite capacity scheduling using real OEE indicators
  • Quality impact derived from IMTE dimensional results
  • QIF-structured characteristics influencing process capability
  • SPC-based stability constraints in planning logic
  • Integrated CAD + QIF + DMIS digital thread

Finite capacity aligned with real performance

IVR APS replaces theoretical capacity assumptions with real performance data derived from OEE, including availability, performance and quality factors.

By integrating execution data from MES and dimensional validation from IMTE — Inspection Measuring and Test Equipment, planning reflects actual machine behavior and process stability.

Schedules are generated from measurable production reality.

Quality-driven planning parameters

Dimensional characteristics defined in CAD and structured in QIF (ISO 23952) influence planning decisions through real quality performance indicators.

Scrap rates, rework probability and statistical capability (Cp, Cpk) become quantitative inputs for scheduling priorities and lot sizing.

  • Capability-based production sequencing
  • Quality-adjusted lead time calculation
  • Batch sizing considering dimensional stability

Integration with MES and changeover logic

APS integrates with MES to synchronize planned orders with real execution constraints, including setup duration validated by SMED and equipment availability tracked by OEE.

Changeover times, first-piece approval data and statistical stabilization periods are considered within scheduling algorithms.

Planning logic incorporates validated execution constraints.

Continuous digital thread in planning decisions

Engineering definitions from CAD flow into QIF-structured data and DMIS execution programs, whose dimensional outputs influence OEE and MES results.

IVR APS closes the loop by incorporating this data chain — CAD → QIF → DMIS → IMTE → MES → OEE → APS — into scheduling decisions.

  • Design-to-schedule traceability
  • Alignment between engineering intent and capacity planning
  • Documented and auditable planning rationale

Audit-ready planning records

All planning scenarios, capacity assumptions and quality-based adjustments are stored as structured, retrievable records.

By connecting advanced planning to real dimensional evidence, IVR APS ensures that schedules are technically defensible and operationally feasible.

Planning becomes a data-driven and traceable engineering activity.