What Is Smart Machine Maintenance?

*Suggestions for titles:
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1. Smart Machine Maintenance: The Future of Predictive Maintenance
2. Machine Monitoring: The Key to Smart Machine Maintenance
3. How to Use Machine Monitoring to Improve Your Maintenance Program
4. The Benefits of Smart Machine Maintenance
5. How to Get Started with Smart Machine Maintenance

Outline:

• Introduction
• Challenges With Present-Day Solutions
• Downtime
• Maintenance cost
• Asset Lifespan
• Quality of Products
• The Solution - iDataOps, The Features, And The Future
• On-board and Connect Machine Data
• Preventive maintenance challenges
• Machine Performance Analytics
• Predictive Machine Performance

What Makes iDataOps the Go-to Software Solution?
(https://www.rawcubes.com/blog/2023/apr/the-role-of-idataops-in-smart-machine-maintenance.html)
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**
Introduction:**
As per recent estimates, manufacturers lose an average of $260,000 per hour. The numbers may go North based on the product and hence $260,000 per hour marks itself as just the tip of the iceberg. In another poll, 82% of manufacturers claimed to have experienced unplanned downtime in the past year alone, bulldogging millions in revenue from the businesses due to the absence of machine monitoring systems. This thus, raises the question, do manufacturers have a way out of it? Or will they suffer silently until something exciting comes up? Luckily, the answer to this is affirmative.
**
Enter Smart Monitoring Software**.

While the concept of smart machine maintenance has been around for a decade now, the principal idea or theme of it has been largely influenced and adopted as digital transformation. Digital transformation is widely known for its predictive maintenance capabilities (a critical component of smart machine maintenance) which makes it difficult to be overlooked.

So what exactly is smart machine maintenance and how can companies leverage it?

Before diving into details, here are certain challenges that you should know and how smart machine maintenance solves these hiccups.

Challenges With Present-Day Solutions

When it comes to acknowledging challenges, there are numerous factors that come into play. For instance, machines are often seen to face unexpected breakdowns due to constant wear and tear or get antiqued in due course of time. Here are some major key challenges often faced by the manufacturers:

Downtime: As mentioned, equipment failure can result in significant downtime, which leads to costly and unaccountable disruptions in daily operations. Predictive maintenance here reduces downtime by identifying and addressing potential issues before they cause a breakdown.

**Maintenance cost: **Reactive maintenance has proven to be costly, as repairs may be more extensive and require more time and resources than preventive maintenance. Predictive maintenance, here too, can help reduce maintenance costs by allowing targeted maintenance interventions that are more efficient and cost-effective.

**Asset lifespan: **Equipment failure can lead to premature asset replacement, which can prove to be costly. Predictive maintenance can help extend asset lifespan by identifying and addressing potential issues before they cause irreversible damage.

**Quality of Products: **More than often, it is observed that equipment failure can result in defects and quality issues in the products or services that an organization delivers. Predictive maintenance can help maintain product quality by ensuring that equipment is operating optimally and preventing issues that could impact quality.

*The Solution *- iDataOps, The Features, And The Future
Now that we have a clear picture of what challenges manufacturers face in the absence of smart machine maintenance or predictive maintenance, here is a machine downtime tracking solution that caters to the daily requirements of manufacturers all through a single dashboard.

*Introducing iDataOps. *

iDataOps helps manufacturers with software solutions that optimize costly downtime with the help of predictive machine maintenance, advanced OEE, and real-time data integrations.

The software is commercially built and sold by RawCubes - an Industrial Data Operations platform that can automatically monitor and manage all devices connected to the software. Surprisingly, the platform leverages advanced analytics and machine learning algorithms to analyze data generated by production-level equipment.
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Here are a few other features of iDataOps:**
a) On board and seamlessly share data across all machine/ assets
Powered by sensors, the iDataOps leverages data acquisition, integration, connectivity, and export capabilities from all equipment. The software also aids in monitoring the performance of the monitoring data quality machines and identifies problems or anomalies to make predictive decisions. Here is the complete breakdown:

Connect production equipment across the shop floor for real-time visibility of key metrics.
Support data transfer using any known protocols (i.e., PLC, ethernet, serial, MQTT, Zigbee, Modbus).
Onboard products, specifications, and their parts into a product catalogue.
Align machine catalogue, service providers, and machine data with our asset maintenance management, predictive maintenance, and predictive OEE.

b) Preventive Maintenance Management
Proactively create maintenance schedules based on machine specifications to prevent future breakdowns or emergency maintenance issues. With this heightened equipment uptime, you can reduce overall maintenance costs, optimize spare part inventory and minimize downtime.
Alert production support & technician staff with scheduled physical check-ups.
Easily identify local service technicians and share service history for more streamlined troubleshooting.
Digitally maintain service history records aligning with the QR code to verify when the service was started, completed, and signed off for complete governance.

c) Machine Performance Analytics
Utilize a fully-integrated OEE control centre to unveil each machine’s availability, performance, and quality metrics. Now, your team can discover the factors that matter most, from power levels to climate conditions, environmental impact with emission level monitoring and much more.

Integrated OEE dashboard & control centre.
Machine and Condition Monitoring, and Power Usage Effectiveness.
Performance and yield throughput monitoring.
ESG monitoring with real-time emission monitoring.

d) Predictive Machine Performance
View real-time pattern recognition, asset monitoring, and machine recommendation models with iDataOps that offer advanced insight into the operability of connected machines. Access unparalleled insights to monitor your machine performance at every stage of your production process.

Predictive Remaining useful life (RUL) & Mean time to failure (MTTF).
Relationships monitoring between the order and target asset (throughput, yield, etc.).
Production process optimization based on asset availability.
Production quality monitoring at each asset level.
Dedicated Data Scientist To Uncover Custom Opportunities.
What Makes iDataOps the Go-to Software Solution?
iDataOps has proven itself to be instrumental in cost reduction that not only demystifies the complexities of manufacturing equipment over prolonged periods but also in real-time. To dive into this, the machine monitoring software prevents production-level downtime, by “listening” to the equipment in real-time at an individual level, thus, helping companies at the very ground level. These capabilities of iDataOps help it to create a more profound impression than others.

To learn more about iDataOps, please browse through our extensive collection of blogs on our website. At RawCubes, we assist companies digitize their manufacturing process through our intelligent data management and machine monitoring solutions. To get in touch or schedule a demo, please visit our contact page now!