OEE loss
Availability, performance and quality losses hide between shift reports.
How it is closed: A single OEE read from the floor, split into its three losses, per line and shift.
78.4% OEEtarget 85% — the gap visible per line
Explore the platform
See ManufactINS working, then explore it on your own plants.
Every screen below is drawn in the product’s own interface — the Overview that opens on the one decision worth making today, machines and OEE read from the floor, and maintenance and quality predicted before they cost you. Request a guided demo and the Epsilon team walks you through it, then arranges individual, time-limited access to explore it on one of your own plants’ production data.
Request a guided demo
ISO 27001:2022 · Egypt-hosted, on-prem or hybrid — residency set per deployment
Platform preview
See ManufactINS in action
Real product screens on sample data — no sign-in needed. Click any image to enlarge.
Module 1
Plant command center
OEE, downtime, yield and output across every line, live — one screen the plant manager runs the whole shift from.
Module 2
OEE intelligence
Availability, performance and quality broken down to the exact loss and its root cause — so improvement effort goes where the biggest minutes are.
Module 3
Predictive maintenance
The next likely failure and its remaining-life window, per asset — schedule the fix before the breakdown and the unplanned stop it causes.
Module 4
Shop floor
Live production across every line — output against target, scrap and downtime as they happen, read straight from the controllers.
Module 5
Quality & traceability
Defects, first-pass yield and full genealogy per batch — find the root cause and every affected unit in seconds, not days.
Module 6
Inventory
Stock, work-in-progress and raw materials across the plant, with reorder signals — keep the lines fed without tying up cash.
Where the value leaks
Where manufacturing margin leaks — and how each leak is closed.
Margin is lost to availability, machine downtime, defects and cost drift — not to bad product. ManufactINS is built around the five places the value actually goes.
Sample scenario — illustrative figures from the demonstration plants, not customer results.
ManufactINS · Overview — OEE & downtime
OEE
78.4 %
target 85
Availability
88.0 %
Unplanned
18.6 h
this week
Line 1 — Extrusion82%
Line 2 — Assembly61%
Line 3 — Packaging47%
CNC-04 likely to fail within 11 days — schedule the swap in planned downtime.
ManufactINS · Cost & quality
Standard
1.24 B EGP
Actual
1.31 B EGP
EGP 70M over
First-pass yield
96.8 %
Steel coil+7.2%
Aluminium ingot+3.1%
ABS resin+1.4%
Actual vs standard per material, with the buy-window timed to the market.
Unplanned downtime
A machine stops with no warning and takes production hours with it.
How it is closed: Equipment health predicts the failure before it happens and schedules it into planned downtime.
CNC-04 · 11 daysto likely failure — before it stops the line
Quality drift & scrap
Defects are found at the end, not at the cause.
How it is closed: First-pass yield and a defect Pareto, traced to batch, line and material.
96.8%first-pass yield
Material cost & FX
Standard costs drift from actual as rates move.
How it is closed: Actual vs standard per material, with the buy-window timed to the market.
EGP 70Mover standard cost
Schedule & capacity
Orders slip against the real capacity of the lines.
How it is closed: Orders at risk ranked against real line capacity, before they are late.
12 ordersat risk right now
The return
What the platform surfaces on the demonstration plants.
A sample scenario with illustrative figures — not a customer result. These are the open decisions and recoverable losses the platform surfaces across the demonstration plants, the same numbers you see on the Overview, Cost and Quality screens.
+4 pts
OEE improvement
across the demo plants
18.6 h
Unplanned downtime avoided
from one predicted fix
96.8%
First-pass yield
traced to line and batch
EGP 70M
Standard-vs-actual gap
surfaced to act on
Every figure is derived from your own plant data once loaded — never typed into a slide.
Request a guided demoEpsilon-managed access
How you get access to the platform
Access to the working platform is not self-serve. The Epsilon team arranges it after a guided walkthrough; accounts are individual and limited to an agreed evaluation period. Submitting the form does not create an account.
- 01
Explore the platform
Look through this public page — the screens and the use cases.
- 02
Request a guided demo
Send the form with your company and your need.
- 03
Epsilon contacts you
We schedule a walkthrough tailored to your business.
- 04
Walkthrough on sample data
We demonstrate the relevant workflows — usually on sample data; preparing your own data or integrating it is agreed separately.
- 05
Time-limited evaluation access
We issue individual sign-in credentials for an agreed evaluation period.
- 06
Follow-up on results
We review feedback, fit and requirements with you.
- 07
Implementation
Discovery → Pilot → Production — cloud, on-premises or hybrid.
Request a guided demo
Tell us about your company and the Epsilon team will contact you to schedule a walkthrough, then arrange individual, time-limited access to explore the platform on your own plants. Sign-ins are issued by us — there is no self-serve sign-up, and submitting this form does not create an account.