Manufacturing

Automation has long been a part of the manufacturing industry, driving massive productivity gains, slashing costs, and boosting quality.

The next step in the evolution of manufacturing automation - artificial intelligence (AI) through automated machine learning - is poised to fundamentally transform the way manufacturers do business.

AI and Manufacturing

Arcanum is helping innovative manufacturers meet the challenges of intensified global competition and complex governance of factories, suppliers, and distribution networks, by speeding the PDCA cycle through automated machine learning.

Even the most modern manufacturing facilities require humans to undertake an average of 70% of the tasks. In a world where machine sensors are generating more data than ever before, there are still huge parts of the process manually monitored. For the vast majority of traditional manufacturing companies, exploiting the potential of technology is perceived as either too expensive or too hard to realize benefits from.

Arcanum believes in deploying simple yet powerful solutions that can generate rapid return on investment. Utilising readily available camera and sensor hardware, intelligent automation and highly visual interfaces, Arcanum can support the defense against (lower-cost) competitors.

ARCANUM can help you with

Profitable BOM

Aggregate petabyte-scale data from fleet-deployed sensors, devices, enterprise systems, and operational systems to generate accurate predictions of vehicle and asset failure. Arcanum Predictive Maintenance provides planners and operators with a comprehensive insight into asset risk, enabling them to maintain higher levels of asset availability, deliver high-quality services, and reduce maintenance costs.

Multi-Echelon Inventory Optimization

Leverage real-time AI/machine learning to drive operational excellence and improve profitability across sales, marketing, and customer service. Arcanum CRM delivers AI-generated forecasts and scores in real-time using insights from internal and external data sets.

Price Optimization

Reduce energy costs and improve warehouse and building operations through real-time tracking, analytics, and optimization. Arcanum Energy Management uses machine learning techniques to enable accurate forecasting, benchmarking, demand response, and anomaly detection to lower costs, improve operations, and meet energy-efficiency goals.

Supply Network Optimization

Reduce inventory holding costs and improve cash flow and supply chain visibility. Arcanum Inventory Optimisation applies advanced machine learning to analyze variability in demand, supplier delivery times, and quality issues to build real-time recommendations and monitoring, so users can set optimization by confidence level and receive real-time notifications and root-cause analysis.

Yield Optimization

Improve throughput and product quality by quickly detecting and mitigating emergent process issues. Apply advanced machine learning techniques to predict downstream product yield issues and pinpoint problematic process steps. Price Optimization

Warranty Optimization

Identify componentry at risk and proactively alert customers to potential issues to increase service satisfaction levels and reduce downtime. Maintain visibility of individual components at factory, distribution, or customer locations.