Integration Portofolio
01
Metallurgic Factory: OEE Optimization & Downtime Analytics
Faced with increasing downtime and production inefficiencies, this metallurgy operation required greater visibility into its manufacturing processes. We implemented an advanced OEE monitoring platform that continuously collects and analyses real-time data from critical production assets. The solution provided actionable insights into equipment performance, availability, and productivity, enabling data-driven decision-making and measurable improvements across the facility.
Improving industrial throughput and business profitability through advanced technical monitoring.
Our engineering assessment revealed that recurring micro-stoppages were having a substantial cumulative impact on production output, accounting for an estimated 15% reduction in available capacity. To mitigate these losses, we deployed a predictive maintenance system combining vibration monitoring and thermal analysis across critical assets. The solution provided early warning of developing mechanical and metallurgical stress conditions, allowing maintenance teams to intervene before failures occurred and ensuring greater process stability and asset performance.
- Reduced unplanned downtime by 22% through predictive alerts.
- Increased machine availability by implementing optimized maintenance schedules.
- Direct improvement in net business profits via higher shift throughput.
02
Food & Beverage: ROI via Waste Reduction & Line Balancing
Faced with increasing production costs and efficiency challenges, this food and beverage manufacturer sought to optimise the performance of its packaging operations. Our engineers performed a detailed line-balance audit to evaluate throughput, equipment utilisation, and process synchronisation across multiple production lines. By aligning conveyor speeds with upstream processing equipment and reducing periods of unnecessary idle operation, we delivered a more balanced and efficient production system, resulting in improved throughput, reduced energy consumption, and lower operating costs.
Maximizing operational ROI through faster changeovers and precise resource allocation.
As part of the optimisation programme, we redesigned key PLC control strategies to accelerate product changeovers and eliminate unnecessary delays between production runs. These improvements reduced lost production time and increased line responsiveness across multiple product formats. Additionally, advanced calibration of filling sensors and process instrumentation enhanced measurement accuracy, resulting in lower overfill rates, improved product consistency, and measurable reductions in material waste.
- 12% reduction in total operating costs within the first quarter.
- Faster changeover times enabled higher product SKU flexibility.
- Enhanced ROI through significant reduction in material loss and rework.
03
Automated Warehouse: Full-Scale PLC/SCADA Integration
To bridge the gap between industrial automation and high-level logistics planning, we engineered and deployed a centralised SCADA ecosystem integrated with local PLC networks across multiple material handling and sorting lines. This architecture enabled seamless data exchange between control layers, providing real-time operational insight, improved system synchronisation, and enhanced responsiveness across the entire logistics infrastructure.
Synchronizing floor-level machine data with executive-level dashboards for resource planning.
By aggregating live operational data into centralised visual dashboards, the system provides full transparency across all production and logistics flows within the facility. This real-time insight allows stakeholders to monitor throughput performance at every stage and identify inefficiencies as they develop. As a result, planning teams can anticipate bottlenecks before they impact downstream operations, enabling dynamic resource optimisation and more reliable adherence to shipping timelines.
- Seamless PLC/SCADA integration across 8 distinct automation lines.
- Significant increase in 'On-Time Shipment' metrics via data-led planning.
- Enhanced labor efficiency by aligning manpower with real-time machine speeds.