Process Monitoring

Process monitoring is often linked with process visibility, working with business activity monitoring to help business gain an insight into important information and data within the processes of an organisation. As part of process monitoring enables an organisation to measure and analyse process performance to identify critical process problems pro-actively, using data to make decisions that will improve the speed, quality and efficiency of business process.

We offer many process control monitoring solutions;

• IP-based communication utilising wired or wireless Ethernet.
• Simplified setup and configuration with parameters that can be quickly uploaded to your work centre
• Ability to monitor, analyse and communicate any other parameter the device can provide including pressures, temperatures, dimensions, weight, fill rate, and more
• Auto-population to charts and graphs
• Alert notifications include visual, text, email or audio notification
• Web-based data access that allows performance monitoring from any desktop or mobile device
• Data storage by part number, production order, manufacturing configuration and lot number with capability to view additional job details
• Powerful graphs, gages and reports provide accurate and instantaneous feedback
• Simple to install, low maintenance solution built specifically for the shop floor environment
• Expansion capabilities to support and communicate with an unlimited number of PLCs, machines, measuring devices, or other manufacturing equipment
• web based HMI’s and Customised web pages

Hands-off data capture and analysis Process Monitoring can be achieved on any device or machine with data communication capability such as a Programmable Logic Controller (PLC). You define the performance and measurement parameters to capture for each item, tool, and machine configuration. The system provides the flexibility to gather unique, job-specific statistics to identify poor functioning equipment.

Process monitoring delivers;

• Improved operational efficiency by automatically driving processes and activities
• Increased accuracy by reducing errors associated with human interaction
• Improved quality and reduce costs associated with defects, rejects, products returns, and rework
• Actionable intelligence delivered to control processes before they become costly problems
• Focus on finding process exceptions before parts deviate from control/spec limits
• More effective use of resources with predictive performances