Manufacturing managers reviewing capacity schedule

IRUVY FLOW

From production disruption
to optimal recovery decisions

Analyzing machine constraints, task sequences, and material bottlenecks to recommend actionable recovery options for plant managers.

Capacity Audit
WHEN THE PLAN BREAKS

When equipment stops,
what decision comes next?

Tracking how a single operational event propagates through orders, bottlenecks, and delivery commitments.

Machine Outages

Comparing impact of alternate machine assignments and sequence changes.

Rush Orders

Identifying conflict points between new order priority and committed delivery dates.

Material & Subcontract Delays

Re-sequencing viable work orders and predicting downstream bottlenecks.

Labor Shift Changes

Leaving feasible schedule options matching worker skill levels and safety constraints.

Real-time Operational State

Orders. Tasks. Machines.
Materials. Outsourcing. Time.

Optimized Options

At-risk order alert.
Bottleneck shift.
Optimal recovery plan.

Comparing delivery compliance, overtime cost, outsourcing fees, and execution feasibility.

Proving performance with minimal integration
and zero operational risk

Read-only Focus

Connecting only necessary data from CSV, Excel, ERP, or MES.

Manager Sign-off

System recommends options; human supervisors review and approve.

Single Constraint Bottleneck

Starting with 1-2 critical bottleneck processes per manufacturing line.

No Direct Automation Control

System does not issue direct PLC or machine control commands at this stage.

Current external product boundary: Level 0 Observe to Level 1 Recommend.

Targeted at discrete manufacturing
with high operational variability

Starting with recurring disruptions in make-to-order and high-mix low-volume environments.

Best Fit

Data & Decision Makers Present

Frequent exceptions, weekly re-planning needs, and accessible ERP/MES/Excel records

Not A Fit

Seeking Immediate Lights-out Automation

Demanding total system overhaul, worker surveillance, or free custom software builds

Diagnose capacity bottlenecks starting
from one recent delivery delay event

Capacity Audit