integrated planning, Scheduling, & Execution
Every manufacturing plan succeeds or fails at the gaps between systems.
Most manufacturers run separate systems for planning, scheduling, and execution. At every boundary between them, data goes stale, constraints get lost, and plans diverge from reality. Eyelit’s integrated application suite, Eyelit SIOP, Eyelit APS, and Eyelit MES, eliminates those gaps. Achieving closed feedback loop from shop floor to boardroom, and schedules built on what your factory can actually achieve.
Request DemoThe requirements
Six requirements manufacturers miss when digitizing planning and scheduling
Effective planning and scheduling require more than a new system. Most manufacturers focus on the obvious capabilities and miss the ones that determine whether plans are believable, executable, and responsive. Eyelit’s integrated suite was designed around all six.
Accurate Demand Forecasting
Collating sales and forecast data across global supply chains is non-trivial. ML-weighted consensus models allocate demand to manufacturing facilities and align production with real market signals, so you never build a perfect schedule for products no one wants.
Realistic Process Duration Estimates
Plans built on ERP standard costing times, estimates set by engineers for financial purposes, are plans built on wishful thinking. Planners must differentiate between costed minutes and planned minutes, and update planned durations automatically from actual execution performance.
Up-to-Date Factory Knowledge
You cannot schedule what to do next without knowing what has already been completed, what inventory is available, and the current status of equipment and personnel. Real-time floor visibility is a prerequisite for any credible production schedule.
A Complete Capacity Model
A single static standard time per operation is not a constraint model. Effective plans require all real constraints: equipment availability, varying rates by product, labor qualifications, tooling requirements, setup constraints, and auxiliary resources including space, power, and subcontractors.
An Optimization Model
A feasible plan is not necessarily an optimal one. Manufacturers balance conflicting objectives, overtime cost vs. lateness, lead time vs. inventory, utilization vs. flexibility. An optimization engine makes the best decision at each trade-off, holistically, across all resources and objectives simultaneously.
Real Time Visibility & Replanning
An optimal plan that sits static on a planner’s desk while the floor changes is worthless. Real-time visibility provides a single source of truth, allows everyone to work from aligned priorities, and triggers automatic replanning when events, breakdowns, delays, demand changes, require it.
The critical insight: Every one of these requirements spans multiple layers of the manufacturing stack. A demand system that doesn’t receive actuals from execution, or a scheduler that can’t see real floor status, satisfies requirements in isolation but fails the manufacturer in practice. Only an integrated suite satisfies all six requirements simultaneously — and keeps them in sync as conditions change.
integration reality check
Connected point solutions vs. the Eyelit Integrated Application Suite
Process Time Accuracy & Continuous Improvement
Connected Point Solutions
✗ APS uses ERP standard times set for costing. MES actuals never make it back to the scheduler without a custom integration project — so standard times and capacity assumptions remain static for years, and every plan is built on what you wished would happen rather than what does.
Constraint Completeness
Connected Point Solutions
✗ Labour qualifications, tooling, and auxiliary resources modeled partially or not at all. Skills gaps discovered at execution, not managed at planning.
Plan-to-Execution Fidelity
Connected Point Solutions
✗ S&OP built at product family level. Shop floor works at work order level. Translation layer introduces delay, data loss, and constraint degradation at every handoff.
Demand-to-Delivery Promise
Connected Point Solutions
✗ ATP/CTP calculated from theoretical standard times, disconnected from actual capacity position. With no real-time visibility of WIP, machine status, or in-flight jobs, promises are made against a picture of the factory that may already be hours out of date.
Eyelit Integrated Application Suite
✓ MES actuals used to update APS planned durations. Every future schedule is built on real performance, not historical estimates, and the system keeps learning: which constraints bind in practice, where times over- or under-run, which products tend to slip.
Eyelit Integrated Application Suite
✓ All real constraints — qualifications, tooling, setup rules, auxiliary resources — modelled once and enforced at both APS scheduling and MES execution.
Eyelit Integrated Application Suite
✓ Approved plans flow directly from SIOP into APS finite schedules. What was committed at S&OP is executable on the floor — no translation loss, no synchronisation lag.
Eyelit Integrated Application Suite
✓ ATP and CTP calculated from the same live model used to build schedules — incorporating real-time shop-floor status: current WIP, machine availability, in-progress jobs, and labour on shift. Delivery commitments reflect what the factory can actually achieve at the moment the promise is made, not what it could achieve if nothing had changed since yesterday.
how it works
The closed loop — from demand signal to execution and back
Five steps. One continuous loop.
- SIOP – Align Demand with Supply
- Statistical forecasts, sales inputs, and inventory strategy aligned across the supply chain. The approved plan flows directly into APS — no translation layer, no data loss.
- APS – Build the Constrained Schedule
- Demand plan translated into an optimised, finite schedule using real labour qualifications, machine rates, tooling requirements, and actual process times from MES — not ERP costing standards.
- MES – Execute on the Floor
- Work orders released to MES with all constraints, skills requirements, materials, and work instructions already resolved. What the schedule commits is exactly what the floor can deliver.
- MES – Capture Actuals in Real Time
- Actual labour times, machine utilisation, yield, and quality data captured at every operation. Every transition timestamped — no end-of-shift guesswork, no manual entry lag.
- Actual Flow Back to APS + SIOP
- Real performance data updates future schedules, triggers replanning on significant events, and continuously improves planning accuracy. The loop closes automatically — no manual intervention required.
layer 1 – plan
Demand · Inventory · Supply planning · S&OE · ATP / CTP · MEIO · ML Forecast
Approved Plan
layer 2 – schedule
Finite scheduling · Constraint modeling · What-if scenarios · Patented optimization
Work Orders
layer 3 – execute
Detailed process modeling · Paperless factory · Shop-floor data capture · Advanced performance analysis
integration-only capabilities
Capabilities only a single integrated suite can consistently deliver
actuals replace standard times
MES captures actual labour and machine times per operation. These flow directly into APS as the basis for future schedules, replacing static ERP costing standards with real performance data. Plans reflect what your factory actually achieves, not what it achieved three years ago.
real time replanning
The scheduler always has a live picture of WIP, completed operations, and machine status. Replanning triggers automatically on significant floor events, sub-minute response to machine breakdowns, late jobs, or operator absences. No manual update required.
unified constraint tool
All real constraints modeled once and enforced at every layer: equipment availability, labour qualifications, tooling requirements, setup constraints, auxiliary resources. A constraint respected in APS is also enforced in MES, eliminating the gap between what the schedule commits and what the floor delivers.
s&op & S&oe on one model
Long-range Sales & Operations Planning and day-to-day Sales & Operations Execution run on the same data model. The approved S&OP plan flows directly into S&OE without re-keying, transformation, or synchronization lag, one version of the truth across all planning horizons.
atp / ctp on real capacity
Customer delivery commitments calculated against actual current capacity and materials, not against theoretical standard times. Available-to-Promise and Capable-to-Promise use the same live model that builds the schedule. Promises made are promises kept.
demand-driven replan stability
Demand changes are evaluated against the full constraint model and re-optimized using re-sequencing with bias, maintaining schedule stability for JIT/JIS suppliers while absorbing market volatility. The floor is not disrupted by every new demand signal.
continuous learning
Every production run makes the next plan more accurate. The integrated system learns your factory: which constraints bind in practice, where standard times overestimate or underestimate, which products tend to slip. Planning accuracy compounds over time.
patented optimization of soft constraints
Hard constraints define what is possible. Soft constraints determine what is optimal. Eyelit’s patented optimization engine balances competing business objectives, overtime cost vs. OTIF, inventory vs. lead time, utilization vs. schedule stability, weighting trade-offs according to your priorities, not arbitrary defaults. The result is a schedule that is not just feasible but aligned with what your business actually values.
one implementation, no integration risk
A single vendor, a single contract, a single support relationship. No integration project risk at the seams between systems. No version mismatch between what planning thinks it knows and what execution actually does.
business value
Measurable outcomes from a fully integrated planning, scheduling & execution suite
The ROI from integrating all three layers compounds. Better actuals improve scheduling accuracy. More accurate schedules reduce inventory buffers and overtime. Reliable commitments drive revenue and customer satisfaction. Each improvement reinforces the others.
Inventory Reduction
Plans built on real actuals and live floor data eliminate the safety buffers carried to compensate for planning uncertainty. Less inventory, same or better service levels, capital freed from the balance sheet.
Capacity Improvement
Schedules that model all real constraints, not just machine availability, extract more output from existing assets. Bottlenecks identified in the plan, not discovered on the floor when it is too late to act.
Labor Cost Reduction
Labour schedules built on real qualifications and actual productivity data eliminate overtime caused by constraint gaps discovered too late to correct. Right operator, right job, right time — every shift.
Fewer Late Orders
Schedules built on real constraints and live floor status produce commitments the factory can honor. Fewer late orders, fewer expedited shipments, and a measurable improvement in customer-facing OTIF performance.
Revenue Growth
ATP and CTP based on real capacity means delivery promises that are kept. Fewer missed commitments, faster order-to-delivery, and the ability to accept more business with confidence, not hope.
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Resources
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Press Release
Eyelit Technologies Version 10.1 Innovates Manufacturing Operations Management (MOM) Through Agent EyeQ
Key advancements include Agentic AI, prescriptive inference, transparent forecasting, and end-user configurability Holmdel, NJ — July 2026 — Eyelit Technologies (Eyelit), a leader…
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ArticleSpotlight
Eyelit Technologies Version 10.1 Release Notes
Version 10.1 is the most significant release in Eyelit’s history bringing agentic AI, a reimagined demand planning platform, deeper execution…
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Article
Why General-Purpose LLMs Fall Short in Complex Manufacturing
There is a lot of discussion right now about the role of large language models (LLMs) in manufacturing. The excitement…
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Spotlight
Six Key Requirements for Effective Planning and Scheduling
Optimizing a modern-day manufacturing facility is a complex task. Manufacturers face an overwhelming array of conflicting demands, including reducing stock,…
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