Changeovers
Every colour change burns purge material and line time. The sequence is usually set by habit, not by data. Why sequence matters →
DMIS · Digital Manufacturing Intelligence System
Production intelligence software for masterbatch & polymer compounding.
From paper logbooks to ranked, costed decisions. DMIS brings OEE, batch quality and colour changeover analytics together with AI recommendations. No sensors and no hardware needed. Live from day one.
OEE71.4%+6.2
First pass94.1%+2.8
Purge waste182 kg-11%
Downtime3.2 h+0.4
OEE trend, line M02 last 30 days
Off-spec risk next batches
B-2291 · Red 4R
B-2292 · Black PE
B-2293 · White TiO2
Lower die temperature 215.4 → 209.9 °C
Batch risk falls from 97% to 39%
Batch risk falls from 97% to 39%
RM 4,820
The problem
Masterbatch SMEs make decisions without data.
Losses show up at month-end, not in ringgit, and not while there's still time to act.
Off-spec batches
Scrap is discovered after the batch is made, when the material, energy and machine time are already spent.
Machine stops
Unplanned downtime keeps OEE stuck below 65%, and nobody can say which stops cost the most. Improving OEE →
350+Malaysian SMEs share the gap
50–65%Typical OEE without analytics
RM 200K+Cost of a generic MES
12–18 moTo deploy a generic MES
How it works
From plant data to a costed decision.
Data in
Phone, Excel, API
Upload batch records and logbooks, or connect machines, MES, WMS and ERP through one secure Data Hub API.
Engines
AI and 15 KPIs
Machine-learning risk models, SPC rules and a physics-informed simulator score every batch, line and changeover.
Decisions
Ranked, in RM
The Decision Center tells each owner what to change, how urgent it is and what it's worth in ringgit.
Example recommendation: lower die temperature on line M02 from 215.4 to 209.9 °C
Off-spec risk for the next batch falls from 97% to 39%.
Off-spec risk for the next batch falls from 97% to 39%.
Early proof
Measured results before your first pilot day.
DMIS is validated on a physics-informed simulator with 7+ factory profiles, then recalibrated to each pilot plant's own machine specifications. It addresses six SIRI pillars, from Operations and Supply Chain to Intelligence and Talent Readiness.
Figures from the simulated pilot-profile factory (F07). Real-plant accuracy is measured in the pilot.
0.73AUC predicting off-spec on unseen batches
34%of off-spec caught in the top 20% riskiest batches
RM 75KRecoverable losses identified per month
97→39%Batch risk after one recommended change
Explore DMIS
Everything you need to evaluate DMIS.
Features & modules
Eight modules, seven roles and how DMIS answers five national smart-manufacturing challenges.
View featuresPricing
SME subscription or white-label licence, quoted for your plant. No CapEx, payback typically under three months.
Request a quoteSecurity & technology
Two-factor sign-in, 36 server-enforced permissions, audit logs and nightly backups.
How we protect data
Pilot programme
Put your real plant data through DMIS.
We're onboarding Malaysian manufacturers for three-month pilots. Bring your batch records and we'll show you where the ringgit is going.
+10%OEE target
−10%Changeover waste
−15%Quality deviation