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Case studies

Proof, measured in six dimensions.

Our flagship pilot, plus illustrative scenarios drawn from our research into Ghana's engineering landscape. Every engagement we complete becomes a measured before-and-after.

A 6Cubits digital transformation workshop with the production team Featured pilot  Manufacturing · Bordar-HKC

Bordar-HKC: from paper-driven assembly to a digital production line

The starting point. A TV assembly warehouse running on paper travellers, spreadsheet stock counts and tribal knowledge. Production data arrived days late; layout changes were guesswork; downtime went unexplained.

The engagement. A maturity scan placed the operation at Level 1 (Reactive). We modelled the warehouse and line in BIM, applied lean analysis to the digital model to redesign material flow, and introduced digital work instructions and real-time production capture at each station.

The shift. Within the pilot period the operation moved from Reactive to Opportunistic-Integrated — with the model now used to simulate every layout change before anyone moves a bench.

Pilot engagement; metrics measured over the pilot period and rounded.

0
cost reduction (BIM + lean)
0
faster layout decisions
L1→L3
maturity level movement
0
digital work instructions
  • Week 1–2 · Scan & workshop

    Baseline maturity scan; diagnostic workshop with production, stores and management.

  • Week 3–6 · Model & lean redesign

    BIM model of warehouse and line; lean flow analysis on the digital model.

  • Week 7–10 · Digitise the floor

    Digital work instructions, station-level capture, daily dashboard.

  • Ongoing · Managed support

    Monthly analytics review and continuous improvement cycle.

Illustrative scenarios

What the journey looks like in your sector

Anonymised composites built from our research and pilot work — shown to illustrate the approach until published client studies replace them.

Scenario · AEC consultancyCAD model on screen

From CAD silos to a common data environment

Drawings lived on individual PCs; coordination happened by email. A scan scored Technology 2.1 and Process & Data 1.8. The roadmap prioritised a cloud common data environment and BIM execution plans on two live projects — before any new software licences. Six months in: rework on coordinated packages down by a third, and tender responses cite BIM capability as a differentiator.

  • CDE rollout + ISO 19650-aligned naming
  • BIM coordination on two pilot projects
  • 20-seat training programme
Scenario · F&B manufacturerLive production analytics dashboard

Downtime you can see coming

One production line, recurring unexplained stoppages, and an hour of downtime costing serious money — industry research puts it as high as $300k/hour for large plants. IoT sensors on critical motors fed a simple dashboard; three months of data revealed the failure pattern, and a predictive maintenance window cut unplanned stops sharply. The same data now drives energy optimisation.

  • IoT retrofit on critical equipment
  • Live downtime & energy dashboard
  • Predictive maintenance pilot
Scenario · Gold mining operationHeavy industrial equipment at work

From radio calls to a connected pit

Haul cycles were tracked by radio and whiteboard; plant availability lived in a weekly spreadsheet. A maturity scan scored Process & Data 1.9. The roadmap started small: fleet telemetry feeding a dispatch dashboard, condition monitoring on crushers and mills, and digital shift and safety reporting. Within two quarters, truck utilisation was visible per shift, maintenance moved from breakdown to planned, and safety statistics compiled themselves.

  • Fleet telemetry & dispatch dashboard
  • Condition monitoring on critical plant
  • Digital shift & safety reporting
Scenario · Power utilityElectronic control systems

Assets you can see, losses you can find

Paper asset registers, outage reports arriving days late, and losses nobody could locate. The engagement digitised the network into a GIS asset register, piloted smart-meter data analytics on one feeder, and stood up outage and maintenance dashboards. Fault isolation got faster because crews finally knew what was where; loss hotspots showed up in the meter data; and maintenance spend shifted to the assets the data said were failing next.

  • GIS asset register & network model
  • Smart-meter analytics pilot
  • Outage & maintenance dashboards

Your before-and-after starts here

Every case study begins with a baseline.

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