Predictive maintenance
Sensor models watch vibration, temperature, load, and service history. Teams receive failure signals with up to 14 days to plan the repair.
Operations intelligence for Singapore
AI that predicts failures, schedules production, and forecasts timelines for factories, construction teams, printing plants, and facilities across Jurong, Tuas, and Singapore.
Tan & Co. connects sensor data, production plans, project activity, and workforce demand. The result is a clearer operating day, with earlier warnings and decisions your team can act on.
Industrial-grade AI tools
Each model fits the way your site already works. Start with one bottleneck, then connect the next useful data source.
Sensor models watch vibration, temperature, load, and service history. Teams receive failure signals with up to 14 days to plan the repair.
Sequence jobs around machine capacity, changeovers, due dates, and material availability. See the effect before the plan reaches the floor.
Project models flag activities that threaten completion dates. Site leaders can focus attention where delay risk is rising.
Build rosters around skills, certifications, fatigue rules, and predicted workload. Keep coverage aligned with the shift that is actually needed.
Camera-based inspection spots chips, cracks, and misalignment on the line. Your defect library keeps detection specific to your products.
Bring key signals into one operating view. Managers see downtime, output, utilisation, and risk without waiting for a weekly report.
Tuas precision engineering plant
A medium-sized plant running 24/6 connected predictive maintenance to five CNC machines and compressors. After four months, maintenance spend was down 22% and unplanned stoppages were easier to schedule around.
"We now replace parts when the model says, not when they break."
Production planning
A Jurong printing firm improved OEE by 12% after six weeks. The schedule reduced avoidable changeovers and made machine utilisation visible before work began.
Workforce scheduling Singapore
Cleaning and facilities teams often have demand peaks that do not fit a fixed roster. The model reads workload, skills, certification requirements, and fatigue rules before it assigns a shift.
One cleaning provider reduced labour costs by 15% while meeting every service level agreement.
Quality vision AI
Train the inspection model on your own defect library. It flags chips, cracks, and misalignments as products pass the camera, giving operators a clear reason to hold or release a batch.
A Jurong packaging firm cut customer returns by 40% after adding camera inspection to its finishing line.
Plan your next operating improvement
Let's run an AI diagnostic on your production line, site plan, or workforce schedule. Tan & Co. will identify the first practical model to put into use.
Request an industrial AI consultation