Proactiveness and continuous improvement are the new mantras of any thriving business. To stand ahead in the competitive market, companies often seek early identification and rectification measures which save companies from substantial maintenance costs.
In this comprehensive compilation, we look into the SAP Predictive maintenance and its importance in an asset management scenario.
Insight into SAP Predictive Maintenance
Determining an asset lifecycle and foreseeing anomalies beforehand can help companies cut maintenance costs and optimise management of assets. Operational success is said to have been carried out when the team, equipment and assets involved in the process synchronise and function together.
In the competitive global market, it is always essential to stay ahead. Relying on historical inputs cannot serve companies their purpose. Through data-driven planning and asset controlled activities, companies can determine how events might unfold even before they have occurred.
Through a Predictive model adaptation by colluding with the Internet of Things, companies can now:
- Reduce maintenance cost
- Increase asset availability
- Increase service profitability
As the economy gets more inclined towards digitisation, tapping into a smart predictive maintenance tool can improve a company’s visibility in the competitive market.
How Does SAP Predictive Maintenance Work?
SAP Predictive maintenance plays a vital role in determining the failing assets. Through constant monitoring and data thus collected, the predictive model creates predictions on the root cause analysis and determination of failing assets. It thus helps companies to predict anomalies and plan maintenance in time continually.
Through SAP Predictive Maintenance:
- Alert notification can be created
- The maintenance schedule can be altered by determining the critical needs
- Determine the life cycle of an asset
- Maximise asset utility
- Continuously monitor the health of the asset
- Avoids unplanned maintenance, thus helping optimise costs for planned activities.
Importance of SAP Predictive Maintenance in Today’s Scenario
- Digitised control
In the shifting realities of today’s work environment, there is an impending necessity to digitise operations and reduce face-to-face interaction of the workforce. It has shifted the manual work culture, which included maintaining documents and spreadsheets to a more digitised and automated process. Modern asset solutions thus address the current demand.
Product suites such as Massetic from Maventic includes MOAST 4, which comes with certified SAP solutions and decisive end to end analytics. Such advanced yet easy-to-use products cater to both inspection and workforce management seamlessly.
- Streamlined and Synchronised
Through automated updates, alerts and constant monitoring; the overall working process of the company, which includes the technicians and assets are more controlled and planned. It helps companies to optimise service budgets to optimise planned activities.
- Manage Connected Devices
Through data collected from multiple systems, the SAP Predictive Maintenance helps monitor and manage all connected devices. This model provides seamless integration into systems like GPS, maps, permit management, thus boosting the overall efficiency.
- Better Inventory Management Through Real-Time Analysis
The end to end analysis provided through SAP Predictive Maintenance, helps companies maximise the lifetime of assets
Through the significant response from the predictive analysis, the SAP Predictive Maintenance also assist in:
- Maximising asset lifetime value
- Improve wrench time
- Boost asset reliability
Final Thoughts
Smart Asset solutions can help companies boost their asset uptime and increase ROI, thus optimising their performance in the business backdrop. Including a robust maintenance schedule backed up by predictive processes can help plant operations run smoothly.
Through SAP Predictive Maintenance companies can proactively optimise resources, plan maintenance and predict anomalies.
