Smart Manufacturing

With the unpredictable nature of the global economy, manufacturing enterprises are forced to constantly improve operational efficiency in order to remain competitive and profitable. While it may be counterintuitive, plant floor operations are the key for manufacturers to improve customer satisfaction through improved order fulfillment.

Advances in technology have not only transformed consumer products. They have also transformed manufacturing. The data harnessed from IoT can change your decision making from reactive, as is the case with traditional manufacturing plant operations, to predictive, as is the case with smart factories.

To go from a factory of the past to a smart factory that thrives in a competitive economy, manufacturers are integrating key technology solutions, such as:

NEORIS proudly introduces Predictive Maintenance, a robust API that uses machine learning and predictive algorithms to leverage data that empower asset operators and service providers to reduce maintenance costs and improve service profitability. Start taking a proactive, instead of reactive, approach to maintenance, and increase quality while lowering costs TODAY.

Factory 360

Harnessing technology solutions, you can now get a 360º view of your factory.

This gives you a real-time snapshot of your operations and connects data sources like: ERP, MES, Shop floor systems, IoT data and more.

Factory 360 speeds up decision-making and allows management to drill down KPI’s to deepen qualitative analysis. Key business outcomes include:

• Faster decision-making
• Increased production efficiency
• Efficiencies in energy consumption and material use
• Reduced error rates and cost
• Flexible manufacturing
• Maximized logistical efficiencies
• Enhanced communication
• Traceability, monitoring and controlling operations

Connected Worker

Connected Worker offers workers accurate information that enable right decisions making on the plant floor, real-time.

This solution includes a set of tools that guide operations through intuitively-designed work instructions for defined tasks via augmented reality wearables, smartglasses and other multimodal user interfaces. Key business outcomes include:

• Improve user experience on the factory floor through guided workflows to complete tasks without errors.
• Drive decisions with data by presenting workers with information in real time.
• Improve operational efficiency and get rid of outdated processes.
• Reduce assembly and maintenance time and reduce errors.

Predictive Maintenance

Keeping factories moving, increasing efficiencies, and preventing downtime is key to profitability. This is why companies are moving from a reactive to a proactive maintenance approach. Predictive Maintenance (PdMS) uses machine learning and predictive algorithms, leveraging data from IoT or traditional sensors attached to equipment, to determine when an asset needs maintenance. Key business outcomes include:

• Increase asset availability
• Empower asset operators and service providers with data science to help them predict failures and implement corrective actions.
• Reduce maintenance costs
• Plan maintenance schedules dynamically to improve resource utilization and reduce asset downtime.
• Improve Service Profitability
• By increasing field asset visibility, OEM and third party service providers are enabled to offer high margin services with lower associated risks.