Manufacturing Management System
Smart Factory connects shop-floor capture with plant-level planning so production orders, materials and machine state stay in step. Terminal screens record output and quality at the line, machine telemetry streams into a time-series store, and OEE is computed continuously rather than reconstructed after the shift. Planners see material coverage against the schedule, while supervisors track downtime reasons and shift performance. As a demo, it shows how manufacturing data becomes useful when capture is automatic and context is attached at the source.
Production data existed, but it arrived too late and too disconnected to steer the plant. Output was recorded on clipboards at shift end, downtime was explained from memory, and quality results lived in a separate system from the orders they belonged to. Planners discovered material shortages after a line had already stopped, and OEE was calculated monthly in a spreadsheet that nobody trusted. Every department kept its own version of the schedule, so a change on the floor took days to reach the office. The plant was measuring itself in retrospect while decisions had to be made in the moment.
At a glance
We placed capture at the point of work: terminals on the line record output, scrap and quality against the live production order, while machine telemetry streams into a time-series store. An OEE service computes availability, performance and quality continuously from those events, with downtime classified as it happens rather than reconstructed later. Material coverage is checked against the schedule so shortages surface before a line stops. Role-based dashboards give operators, supervisors and planners the same underlying facts at different levels of detail, and shift reports generate themselves from captured data.
At a glance
Schedule orders against capacity, materials and committed due dates.
Material coverage checks linked directly to the production schedule.
Live machine state, throughput and stop reasons by line.
Shift rosters, attendance and operator allocation by station.
Defect, scrap and inspection records tied to each production order.
Throughput, yield and utilisation trends across the plant.
Classified stop reasons with duration and responsible station.
Each tier can be scaled, replaced or taken offline independently. Data flows left to right; failure in a downstream tier never blocks the primary transaction path.
Shop-floor capture
01Data enters where the work happens, with minimal operator effort.
Plant services
02Manufacturing domain logic for orders, materials and quality.
Intelligence
03Continuous computation and alerting on top of captured events.
Data
04Transactional, cached and time-series storage for plant data.
Every dependency here has a long support horizon, an active community and a large hiring pool. That keeps total cost of ownership predictable long after launch.
Demo projectScreens are represented by illustrative interface mockups. Real client screens are shared under NDA during procurement.
OEE
82.4%
+6.1 pts
Lines live
14
Scrap
1.9%
Live line status, output and downtime across the plant.
OEE
82.4%
+6.1 pts
Lines live
14
Scrap
1.9%
Order release, progress and material coverage for planners.
Revenue
18.2M
+22%
Orders
41,208
AOV
442
Per-machine throughput, stops and OEE trend detail.
0%
Less material waste
0%
Higher line utilisation
Real-time
OEE visibility
0%
Lower energy per unit
Figures are illustrative demo data for this concept project. Verified client outcomes are published only with written consent.
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