In an effort to optimize operating expenditure related to manufacturing processes, companies are forced to increase the efficiency and effectiveness of their maintenance activities. Common challenges in the industry, including transparency over the health status of equipment, high service costs, and slow repair times, can drain both resources and profitability.
Join Fabio Urciuoli of Siemens Global Portfolio Development in this webinar, as he addresses these challenges and shows how leveraging data-driven digital technologies to optimize maintenance expenditure can achieve up to a 30% cost reduction.
Increase productivity in manufacturing
Streamlined access to all information required to perform maintenance is a key lever to increasing productivity in manufacturing. Companies can quickly realize value using an industrial IoT solution of visual collaboration for data-driven maintenance. This solution provides numerous capabilities including:
Remote monitoring of the health status of every asset
Proactive maintenance
Digital handling of anomalies and tasks
Interactive visual representation of the entire plant
Streamlined access to digital instructions
Enhanced knowledge sharing
Digital collaboration in manufacturing
Maintenance teams can benefit from digitalization by leveraging industrial IoT insights and digital collaboration in manufacturing to achieve high-efficiency gains. Companies that are open to adopting digital technologies can take advantage of:
Increased plant productivity ensuring equipment availability through highly effective maintenance
Increased labor productivity in maintenance teams by enhancing collaboration
Increased savings in maintenance expenditure by resolving issues quickly
In manufacturing facilities spread throughout different parts of the globe, it is crucial for maintenance teams to have streamlined access to all the different types of information they require to efficiently perform their tasks.
Machine health – Monitoring your assets
A dedicated solution that can be easily integrated/interconnected with already existing software systems can transform and streamline maintenance activities. Build on your unique understanding of your production systems and learn more about the overall machine health of your monitored assets with:
Remote condition monitoring: detecting and notifying anomalies automatically
Proactive maintenance: addressing issues before they impact process stability
Digital collaboration: sharing specific know-how, digital instructions, and enabling remote support
Register for this webinar to learn how you can create applications efficiently to boost the productivity of your maintenance operations.
Meet the speaker
Fabio Urciuoli
Global Portfolio Development, MindSphere