DEV Community: Rawcubes | Data Management

Real- time machine monitoring software

Rawcubes | Data Management — Tue, 29 Aug 2023 13:23:37 +0000

Real-Time Insights on Emissions for Sustainable Manufacturing! ♻🌟
Track, analyze, and prevent ESG risks effortlessly with our advanced machine monitoring software, iDataOps. Learn more
https://www.rawcubes.com/industrial-dataops/machine-monitoring.html

Predictive machine maintenance

Rawcubes | Data Management — Tue, 29 Aug 2023 12:47:27 +0000

Embrace Innovation, Embrace iDataOps: Your Path to Predictive Machine Maintenance! 🚀📊

⭕ Bid farewell to unexpected breakdowns that disrupt your operations.
⭕ Proactively identify and automate maintenance needs before they escalate.
⭕ Maximize uptime and productivity with digital records of service history

Learn more about iDataOps here - https://www.rawcubes.com/industrial-dataops/machine-monitoring.html

industry 4.0 smart manufacturing

Rawcubes | Data Management — Fri, 25 Aug 2023 14:03:31 +0000

The Global DataOps Platform Market is booming! Don't miss out on the chance to optimize your data strategies and boost business growth! 📊

industrialdata #dataops #manufacturingindustry #distribution

Machine monitoring

Rawcubes | Data Management — Thu, 03 Aug 2023 16:48:27 +0000

Manufacturing industry is dynamic with materials, vendors, line capacity, and quality processes varying for each order.

Witness the remarkable transformation of #Radiaant as they implemented Rawcubes' iDataOps, revolutionizing processes, teams, and systems across their factories and warehouses.

Know more about Radiaant's journey to transformation here
https://www.rawcubes.com/industrial-dataops/machine-monitoring.html

Transform your machine maintenance strategy from REACTIVE to PROACTIVE

Rawcubes | Data Management — Tue, 25 Jul 2023 14:59:23 +0000

Experience the seamless integration of workflows, predictive maintenance, ensure smooth machine operations with iDataOps, our advanced machine monitoring software.

Stay ahead of the competition with Rawcubes.

Learn more about iDataOps here - [https://www.rawcubes.com/industrial-dataops/machine-monitoring.html]

Proactive Maintenance with Advanced Machine Monitoring Software

Rawcubes | Data Management — Mon, 24 Jul 2023 11:38:14 +0000

Proactive Machine Maintenance for Industry 4.0 with Machine Monitoring So iDataOps
Rawcubes' cutting-edge industrial machine monitoring platform automatically monitors and manages all connected devices. Utilizing advanced analytics and machine learning algorithms, iDataOps a machine monitoring system analyzes data generated by production-level equipment, such as temperature, vibration, and power consumption. By monitoring equipment behavior and performance metrics, the machine monitoring system can detect patterns that may indicate potential failures or issues.

The platform is built on top of DataBlaze, Rawcubes' industrial data management software, and is specifically designed to "listen" to all onboarded production equipment. It continuously monitors equipment behavior, utilization, power consumption, and data generated at the equipment level.

The need for a machine monitoring system stems from its ability to significantly reduce production downtime and ensure a smooth production flow. Unscheduled maintenance or repairs can lead to substantial financial losses for companies. iDataOps plays a crucial role in preventing unexpected downtime by predicting equipment failures and maintenance needs in advance. This allows maintenance teams to plan and schedule activities proactively, leading to increased productivity and reduced costs.

Several examples illustrate the machine monitoring system's effectiveness. iDataOps can identify wear and tear on industrial equipment, allowing proactive replacement before breakdowns occur. It can also monitor lubrication levels to prevent equipment failure due to insufficient lubrication. Additionally, the platform can detect excessive vibrations that may lead to premature equipment failure.

The key components of the iDataOps platform include the Organization Workbench, Customer Workbench, and Machine Onboarding Workbench. These sections facilitate the onboarding of organizations and customers and provide a comprehensive overview of production-level data, enabling the tracking of different versions of products and identifying emerging patterns or trends.

The iDataOps platform's real-time insights at the machine level are a major advantage. By "listening" to equipment in real-time, the machine monitoring system displays OEE metrics, allowing users to monitor each machine individually and gain valuable insights into their performance. The platform also allows users to raise tickets and assign priority levels for immediate issue resolution, supported by service management history for diagnostics.

To ensure comprehensive coverage, the platform fetches data directly from connected devices and utilizes proprietary data models and ML-based predictive maintenance models to provide real-time insights for end-to-end operations at the machine level.

Users do not require extensive technical skills to use this machine monitoring system effectively. The platform is designed to be user-friendly and intuitive, requiring only basic skills. This accessibility empowers operations personnel to easily onboard devices and utilize the machine monitoring system’s capability for real-time insights for improved decision-making.

For a deeper understanding of iDataOps our machine monitoring software, additional blogs on Rawcubes' website offer valuable insights into how the platform empowers companies to optimize their machine monitoring and maintenance strategies. With Rawcubes' intelligent data management and machine monitoring solution, businesses can digitize their manufacturing processes and prepare for the challenges and opportunities of Industry 4.0. Schedule a demo with us today and unlock the full potential of iDataOps!

What Is Smart Machine Maintenance?

Rawcubes | Data Management — Sat, 22 Jul 2023 17:58:22 +0000

*Suggestions for titles:
*

Smart Machine Maintenance: The Future of Predictive Maintenance
Machine Monitoring: The Key to Smart Machine Maintenance
How to Use Machine Monitoring to Improve Your Maintenance Program
The Benefits of Smart Machine Maintenance
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)
CTA
**
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.
**
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!

Quality defects? Not on our watch!

Rawcubes | Data Management — Tue, 06 Jun 2023 13:01:07 +0000

Quality defects? Not on our watch!
We're committed to providing accurate insights, leading to ZERO DEFECTS with qDataOps, our Total Quality 4.0 Software.
Learn more - https://lnkd.in/e9Hxj4Vy

5 Reasons Why Predictive Machine Maintenance is a Critical Pillar of Success for Modern Manufacturers

Rawcubes | Data Management — Wed, 10 May 2023 17:40:58 +0000

In the contemporary manufacturing industry, a multitude of processes necessitate swift, top-notch performance and productivity, which poses a formidable challenge for factory workers. Hence, machinery is one of the most essential foundations of the manufacturing sector, and its consistent and efficient operation plays a pivotal role in achieving success. However, even the slightest malfunction, breakdown, or minor issue can result in significant ramifications for the entire production process, ultimately affecting the company's profitability.
Predictive maintenance utilizes IoT-based resources to monitor equipment health and ensure production stays on track. It is an approach that leverages machine data and advanced analytics to predict and prevent potential equipment failures before they occur. This proactive maintenance approach can increase machine uptime, reduce maintenance costs, and optimize the use of maintenance resources.

By shifting from reactive maintenance to proactive maintenance, companies can achieve significant cost savings and improved equipment reliability. Predictive maintenance is becoming increasingly popular in the manufacturing industry, and with the growth of IoT, AI, ML, and other advanced technologies, it is likely to become even more widespread.

The following reasons emphasize the pivotal role of predictive machine maintenance in achieving success in the manufacturing industry:
● Minimized Downtime
● Maximized Efficiency
● Ensured Quality
● Increased Employee Safety
● Reduced Cost
Examples of Major Disruptions in Manufacturing Due to Machine Failure:
Production delays: Any malfunctioning machine can lead to significant production delays, causing missed deadlines and resulting in lost revenue.
Downtime costs: Replacing faulty equipment can be time-consuming and may require additional costs such as overtime pay for workers or renting temporary machinery to continue production.
Quality issues: A machine breakdown can result in defective products that fail to meet quality standards, leading to customer complaints or reduced sales.
Safety concerns: Certain equipment failures can pose safety risks to employees or the environment, resulting in costly accidents or legal liabilities.
When unpredictable events such as machine failures halt manufacturing production, it leads to downtime, and the challenge for the industry is maintaining all types of equipment while keeping costs low. Predictive machine maintenance is a solution that addresses this issue.
Two Use Cases on Why Predictive Machine Maintenance is a Critical Pillar of Success for Modern Manufacturers
Predictive machine maintenance is a crucial factor for success in modern manufacturing, as highlighted by various studies. According to McKinsey, PdM software can reduce production equipment downtime by 30% to 50%, and extend machine life by 20% to 40%. The U.S. Department of Energy also estimates that preventive maintenance can result in significant benefits, such as up to a 30% reduction in energy and maintenance costs, 35% to 45% fewer breakdowns on machinery, and up to 75% reduction in downtime.
Rawcubes iDataOps provides manufacturers with two use cases that demonstrate how predictive maintenance can be beneficial.
Machine Data Integration for Early Detection of Potential Failure: iDataOps enables you to connect and integrate data from all machines with predictive maintenance techniques, allowing you to monitor equipment performance in real time, identify issues, and make predictive decisions. With this tool, you can connect production across the shop floor for real-time visibility of key machine metrics, transfer data using different protocols, and align machine data and service providers with predictive asset maintenance.

Preventive Maintenance Management for Reduced Downtime: iDataOps enables you to create proactive maintenance schedules as per each machine's specifications, helping to prevent future breakdowns or emergency maintenance issues. Predictive maintenance tools can minimize overall maintenance costs, optimize spare part inventory, and reduce downtime. This tool can notify production support and technician staff of scheduled physical check-ups, easily recognize local service technicians for more streamlined troubleshooting, and digitally maintain previous records aligned with the QR code to verify all details of services.
The Final Thought!
Accurate data is critical to the success of predictive maintenance in modern manufacturing. It improves the accuracy of forecasts, enhances decision-making, reduces errors, and boosts efficiency.
Rawcubes' iDataOps offers machine monitoring software that enables manufacturers to harness accurate data from their machines for predictive analysis. The platform provides turn-key predictive equipment analytics services, eliminating the need for large data integrations.
With iDataOps, technicians, leaders, workers, and CEOs can leverage the predictive machine maintenance platform to increase efficiency and reduce operational downtime.
Empower your maintenance team with Rawcubes iDataOps by reserving a complimentary demo today!