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MFGOPS · Manufacturing Operations Platform

Real‑time visibility from WIP to dispatch.

MFGOPS gives operations teams practical, line‑level control—WIP tracking, serialization, machine data capture, and in‑line quality control—without the overhead of a traditional MES.

OEE uplift
+15–20 pts
Defect reduction
↓ rework & escapes
Traceability
Component → product
Dashboard-style shopfloor view

An example of how MFGOPS can present real‑time information for one assembly area. Data and layout are illustrative only.

Line OEE (today)Shift A
74%
+6 pts vs last week
Live WIP
Station 3 – Torque fastening12 units in progress
Station 5 – Final inspection3 units waiting
Last events (serialization, QC, machine)
  • 18:12:44 · SN‑A3F9‑1182 · Final torque OK
  • 18:10:03 · SN‑A3F9‑1181 · Vision QC OK
  • 18:07:19 · Station 2 · Cycle start
Capabilities

What MFGOPS adds to your operations

A practical MES‑lite layer that captures the right data at each step—without forcing you into a rigid, heavyweight system.

Real‑time shopfloor visibility
Current state of stations, WIP, and blockers in one place.
WIP tracking & serialization
Unit and batch‑level tracking from incoming material to final pack.
Machine & IoT data capture
Key parameters, cycle counts, and alarms aligned to serialized units.
Quality control integration
In‑process and end‑of‑line checks tied to genealogy and history.
Infographic

Shopfloor flow with data capture at each stage

A simplified look at how MFGOPS captures identifiers and signals across the flow from raw material to packing.

Flow: Raw Material → Assembly → Machine Processing → Quality Check → Packing
Raw Material
Assembly
Machine Processing
Quality Check
Packing
Data capture points
  • At Raw Material: lot/batch IDs, supplier, basic checks.
  • At Assembly: WIP IDs, component genealogy, operator/shift.
  • At Machine Processing: IIoT parameters, cycle counts, alarms.
  • At Quality Check: results and evidence linked to the same ID.
  • At Packing: labels/serialization that carry history forward.
Example

Assembly line tracking with MFGOPS

How a typical assembly line benefits when WIP, machine signals, and quality are stitched together.

Flow
  • Each unit receives a unique ID at the first station (barcode/RFID).
  • At each key station, MFGOPS logs operations, parameters, and operator/shift context.
  • Quality checks (manual or automated) are stored against the same ID.
  • By the time the unit reaches final inspection, a full history is available.
Result: supervisors and engineers see where work is building up, where defects start, and which stations or shifts need support.
Metrics you can act on
Quality
Defects per stage

See which stations cause most rework and why.

Throughput
OEE by shift

Understand when and where output drops—beyond averages.

Infographic

Real‑time dashboard view for MFGOPS

A conceptual dashboard showing the kinds of signals operations and engineering teams can see in one place.

Live dashboard mock
OEE gauge
78%
+4 pts vs last week
Production count
1,240 units
Shift A · Target 1,200
Machine status
  • Line 1 – RUN
  • Line 2 – IDLE (changeover)
  • Cell 3 – DOWN (alarm)
Defect rate (last 24h)

Trend line and pareto of top defect types help quality and engineering focus effort where it matters.

Before vs After (operations view)
BEFORE
  • Manual tracking in spreadsheets and notebooks.
  • Delays before problems are visible to leaders.
  • Hard to answer “what happened on that shift?”.
AFTER
  • Real‑time tracking across lines and stations.
  • Alerts and dashboards that highlight issues quickly.
  • Shared view of production and quality history.
+40% productivity

When bottlenecks and delays are easier to see and address.

-60% defects

With earlier detection and clearer root cause signals.

Real‑time visibility

Less time spent chasing numbers after the fact.

Impact

What teams typically see with MFGOPS

Exact numbers vary by plant, but these are the kinds of improvements operations leaders look for.

OEE improvement
+40% productivity

By making downtime, speed loss, and quality losses visible in real time.

Defect reduction
-60% defects

In‑line checks and genealogy make it easier to catch and prevent issues.

Traceability coverage
Real‑time visibility

Serialization and WIP tracking provide audit‑ready history for each unit or batch.

Why MFGOPS

Why traditional MES fails and how MFGOPS is different

Many MES deployments never deliver what plants actually need. MFGOPS is intentionally scoped and delivered for operations teams.

TRADITIONAL MES
  • Lengthy implementations and heavy configuration upfront.
  • Rigid workflows that don’t match how lines actually run.
  • Complex UIs that operators struggle to adopt.
  • IT‑heavy changes for even small improvements.
MFGOPS
  • Focused on WIP, serialization, and key quality checks first.
  • Templates and patterns tuned for real assembly and cell lines.
  • Operator‑friendly screens and guidance at each station.
  • Incremental rollout—line by line, area by area.
Practical, operations‑first approach
  • Start with one line and expand only after proving value.
  • Use existing devices (scanners, PLCs, terminals) wherever possible.
  • Keep IT, engineering, and operations aligned on one source of truth.