Lean Management – Lean Meeting
EcoStruxure Plant Lean Management is a comprehensive IIoT solution that digitises and optimises the lean manufacturing SIM meetings cycles across one to several hundred of sites. With its user-friendly collaborative interface providing visibility to major supply chain KPIs, the digital solution empowers all workers from the shop floor to the top floor and enables much faster decision-making and issue resolution. It allows more than 1000 workers in multiple sites worldwide to connect simultaneously.

The solution improves overall plant productivity by up to 5%, including in mature sites, and helps significantly increase workers' safety. It is suited to meet multiple needs in discrete manufacturing, automotive and transportation, food and beverage, pharmaceutical industries, and semi-conductors as a few examples.

Process Intelligence
An innovative AI-based digital solution dedicated to the mining and cement industries offering predictive modelling on a large scale across the most critical operations such as Ball Mills. Its learning engine impacts upstream and downstream operations by:
• Providing a higher degree of predictive operational data
• Enabling continuous learning with AI models and improving prediction accuracy
• Supporting and guiding operator's decisions via the Remote Expert Service helping to run the process at optimum conditions and diagnose any anomalies or issues

The solution helps increase production efficiency and productivity and decrease energy and raw material consumptions while accelerating time-to-market of products.

Predictive Energy 
Based on IIoT, Automation, and Energy Efficiency expertise, the solutions monitor energy consumption and provide advanced data analytics to detect consumption anomalies across targeted assets (chilling assets for example), thus generating significant energy savings. They leverage IT and OT data from multiple sources including legacy equipment and provide real-time KPI’s at enterprise level, across multiple sites worldwide.

They provide increased sustainability and better carbon footprint through energy consumption reduction by up to 10% and carbon emissions reduction by up to 40%, and are well suited for a wide range of energy-intensive industries such as semiconductors, manufacturing, food and beverage, pharmaceutical, and water industries for example.

Equipment Efficiency
Scalable, cyber-secure solutions to leverage manufacturing performance which can be installed on any existing hardware and data source, accessible remotely or on-site via web applications. They help assess the current OEE of machines, the overall reliability of equipment and provide real-time visibility of OEE issues as well as corrective actions follow-up until full resolution.

They help optimise production line efficiency on 3 dimensions: quality, performance, and availability, thus resulting in a 5 to 10% machine uptime increase and more sustainable operations thanks to significant energy and water consumption reductions. Use cases are in many different industries such as discrete manufacturing and food and beverage.

Predictive Maintenance
Easy and fast to deploy solutions for early detection of known or unknown machine issues to prevent failures and impact on final product quality. They combine high sampling frequency, edge computing, and algorithms to detect the possible defaults or discrepancies in production and provide root cause analysis as well as overall predictability to anticipate failures, line stoppages, and product losses.

Use cases of the solution report 3 times fewer production failures and an ROI of less than 1 year. Many industries such as mining and cement, water and wastewater, food and beverage, and discrete manufacturing can benefit from those solutions, which are fast to deploy.