Modular Production Intelligence

Factory OEE Is 61%.
Your Site Needs 4 Modules Per Day.
You Are Making 2.7.

Station 3 has been the bottleneck for 9 days. 14 modules sit in the staging yard waiting for rework. Your site crane is idle 4 hours a day because set-ready modules are not arriving on schedule. POD tracks every station, every module, every QC checkpoint -- daily.

0%
Factory OEE
0.0
Modules/Day (Actual)
0.0
Modules/Day (Required)
0
Modules in Rework

Your Factory Floor and Your Job Site Are Two Different Worlds

Modules ship. Modules arrive. What happens in between is a black box.

Factory QC data disconnected from site delivery schedule

Production reports live in the factory ERP. Site progress lives in your PM tool. Nobody sees the gap between what the factory is shipping and what the site actually needs this week. The staging yard fills up with modules that cannot be set yet.

Station bottlenecks invisible until modules queue up physically

You find out Station 3 is behind when 6 modules are physically stacked in front of it. By then you have lost a full shift. The bottleneck moved from Electrical last month to Plumbing this week, and nobody tracked the transition.

Module defects at site traced back to factory -- but no data trail

A connection point is 3mm off on Module 42B. The site crew knows it happened at Station 2, but there is no QC record linking that module to the station, the shift, or the inspector. Rework costs 3x on site vs factory.

OEE calculated monthly from production reports -- bottleneck already moved

Your plant manager calculates OEE from end-of-month production summaries. By the time you see 61%, the constraint has shifted from availability to quality to performance and back. Monthly OEE is archaeology, not management.

How POD Tracks Your Production Line

1

Speak Station Results

Station leads give a 60-second voice report each shift: modules completed, QC holds, downtime minutes, rework count, material delays. No clipboard, no laptop, no data entry.

2

AI Tracks Module Flow

POD maps voice input to per-station throughput, calculates OEE components (A x P x Q), identifies the constraining station, and links QC records to each module ID automatically.

3

Dashboard Shows Production vs Site Demand

One view: factory output rate vs site installation schedule. When the gap grows, alerts fire before modules run out on site -- or pile up in staging.

The POD Advantage for Modular Factories

Factory-to-site visibility from a 60-second voice report per station.

Real-Time Station OEE Dashboard

OEE calculated per station, per shift, from daily voice reports. Availability, performance, and quality broken out individually. When Station 3 drops to 72% performance while Station 5 holds 94%, you see it within hours -- not weeks.

Per-station OEE

Bottleneck Detection Before Queue-Up

POD monitors throughput rate at every station. When one station falls below line rate for 2 consecutive shifts, it flags the constraint with root-cause suggestions: downtime reason, rework count, material wait time.

Predictive bottleneck alerts

Module QC-to-Site Digital Thread

Every module carries a digital QC passport from framing through final QC. When the site crew reports a defect during integration, POD traces it to the originating station, shift, inspector, and QC checkpoint photo.

Full traceability

Rework Loop Tracker with Cost Impact

Modules sent back to rework are tracked: which station, what defect type, how long in rework, cost delta vs first-pass completion. Rework velocity trends show whether quality is improving or degrading week over week.

Rework cost visibility

See Your Production Line in Real Time

Every station, every QC checkpoint, every bottleneck -- visualized from daily voice reports.

MODULE PRODUCTION LINEBOTTLENECKFRMFraming1PASSELECElectrical2PASSPLMBPlumbing3FAILFINFinishing4PASSQCQC Final5M-01M-02M-03M-04M-05M-06R-07REWORKOUTPUT0/dayTARGET: 4/dayQC PassQC FailBottleneck ZoneModuleRework Module

Factory OEE Is 61% -- Your Site Needs 4 Modules/Day -- You're Making 2.7

Real POD KPI components rendering with sample modular factory data. Every metric animates, updates in real time, and links to your daily station reports.

OEE -- Factory Production Effectiveness

Overall Equipment Effectiveness

Needs Attention
Avail.×Perf.×Quality=0.0%OEE
OEE Formula78% × 84% × 93%
-24.1vs target
OEE
0.0%
Target
85%
Bottleneck
Availability
Gap
-24.1pp
OEE: 60.9% of 85%
Bottleneck: Availability
Gap: -24.1pp

Module Output Rate vs Site Demand

Productivity Index

Critical
0.700.951.001.30
0.70index
vs Target (1.00): 0.0%
Output GapBehind plan by 0.0%
0modules/day
Actual vs Planned0of4 modules/day
Planned 4
Actual 0
Actual
0modules/day
Planned
0modules/day
Variance
0.0%from target
Gap
0modules/day diff
Index: 0.68
Output: 2.7 modules/day
Below target: 32.5%

Built for Modular Production Teams

Station Bottleneck Detector

Identifies the constraining station before modules queue up. Shows throughput deviation, downtime cause, and recommended rebalancing actions.

Module QC-to-Site Linker

Digital thread from factory framing to site integration. Every defect traceable to station, shift, and inspector with timestamped evidence.

Production vs Demand Dashboard

Factory output rate plotted against site installation schedule. Gap analysis triggers alerts 3 days before site runs out of set-ready modules.

Rework Loop Tracker

Tracks every module rework: defect type, originating station, rework duration, cost delta. Weekly velocity trend shows quality trajectory.

“We were running at 61% OEE and blaming the trades. POD showed us Station 3 was the constraint -- a material staging problem, not a labor problem. We fixed the staging layout in 2 days. OEE hit 79% within a week. We are now ahead of site demand for the first time this project.”

— Plant Manager, Modular Housing Manufacturer

Frequently Asked Questions

Stop Guessing Where Your Modules Are

Your factory data and your site data belong in one dashboard. POD connects them with a voice report.

Last updated: March 2026