Stabilise the Production Process – Reduce delays and losses by using Delay Accounting
20% to 30% gains in stable throughput is often possible just by identifying and removing the primary causes for delays and losses. Whether it be equipment failures, bottleneck congestion, unexpected feed variability or operator missteps, it all leads to production degradation and/or instability. Continuous improvement teams require tools to analyse the most common causes of these delays as well as the locations in the process they are likely to occur:
Automatically capture all delays (equipment downtime and slow running processes)
Identify the cause and the locations of the delays
Classify/categorise the delays
Powerful ad-hoc analysis environment for continuous improvement
Optimise the Production Process – Reduce variability and maximise throughput using Advanced Process Control
Connect directly to a wide variety of automation systems and use both real-time and historical data to analyse, identify and model the significant cause-and-effect relationships in a process. Using Model Predictive Control, operations can realise their full potential by moving the process closer to active constraints — resulting in reduced process variability and increased profits.
Reduce standard deviation, usually by a factor of two or greater
Operate to Maintain and Maintain to Operate – Synchronise your Operation
There is a fine balance to be struck between the production and maintenance teams. Too much scheduled maintenance and the production teams have less breathing room for meeting targets. In turn, this may cause the production teams to push the equipment harder resulting in more unscheduled breakdowns. Coming together to understand that fine balance requires a system that employs an effective Time Usage Model in reporting delays.
Drill-in analytics identifies bottlenecks and delivers data on stoppages and delays
Maximises efficiency of production time by calculating time around utilisation and availability
Maintenance can optimise reliability by focusing on highest impact breakdowns
Production can focus on projects that addresses the biggest process issues to be addressed
Optimising Maintenance to Reduce Cost and Maximise Production
Optimise maintenance performance and efficiency through investments in condition monitoring and predictive analytics. Use real-time information on the health and performance of critical assets, giving personnel the insight needed to make timely and informed operational and maintenance decisions.
Condition-based Maintenance (CBM) for common assets (pumps, fans, etc)·
CBM is rule-based logic where rules don’t change in during operations·
Predictive Maintenance (PdM) for critical assets (shovels, trucks, mills, etc)
PdM relies on continuous monitoring of assets for advanced problem warnings
Digitising Maintenance Activities – Automate, Designate and Collaborate
Connect your mobile workforce through digitisation and increase the profitability of your operations. Ensure consistent and efficient execution of best practices by your maintenance workforce through continuous improvement and providing the most relevant information they require at their fingertips, wherever they are and whenever it is needed.
Mining Professional Services for Value Realisation
Augment your internal project capability with proven subject matter experts and engineers who can help you unlock the value within your business and maximise your returns. AVEVA’s team of experts and our highly qualified partners globally can deliver insights into untapped improvement potential and then apply proven and sustainable technology solutions to these problems where the highest returns can be realised by the business in the shortest time possible.
The Schneider Electric industrial software business and AVEVA have merged to trade as AVEVA Group plc, a UK listed company. The Schneider Electric and Life Is On trademarks are owned by Schneider Electric and are being licensed to AVEVA by Schneider Electric.