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How does IIoT leverage printing & packaging factories?
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HOW DOES IIOT LEVERAGE PRINTING AND PACKAGING FACTORIES? : Case-Study - SenzMate | IoT Intelligence Solutions In the data-driven industrial era, precisely tracking the input and output of machines and putting the data into a shared database for analysis is a must for a company to achieve real progress. By lowering human engagement and boosting electronic inputs, this can be accomplished. Stronger demand for...

"Predictive Maintenance aims to revolutionize the manufacturing industry by leveraging key manufacturing process data to make proactive decisions rather than reactive decisions related to key processes."

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Defects impact time, money, resources and customer satisfaction. Within a manufacturing environment include lack of proper documentation or standards, large variances in inventory, poor design and related design documentation changes and an overall lack of proper quality control throughout the process workflow.

Specific Defect causes include:
- Poor quality control at the production level
- Poor machine repair
- Lack of proper documentation
- Lack of process standards
- Inaccurate inventory levels

Manufacturing factories need to track and monitor maintenance service technicians activities, such as No. of maintenance issues resolved by the individual field service technicians, Total time taken to resolve the maintenance issue and Validation done by the inspection team.

When they have such data in hand, they get a clear picture of efficiency levels of every maintenance professionals in the team.

Machine health monitoring is a central part of calculating OEE. The days of periodic manual checks are now fading. When problem occurs such as high temperature, vibration, noise, and even variables like motor lubrication, technicians would go to pause operations to check some of these data points. It will affect OEE in manufacturing.

Traditionally, most manufacturing operations either perform preventive maintenance according to a schedule or reactive maintenance, where they run machines to failure. While these maintenance strategies also prevent breakdowns, they may lead to unnecessary downtime and expenses due to unneeded repairs. This cases downtime costs manufacturers $50 billion each year.

Internet of Things (IoT) is the most exciting segment in the tech world and only one segment which can integrate with ERP and take ERP to the next level.

As of 2019, there were 97.7 million connected devices in use in the manufacturing industry. Experts predict that figure will surpass 150 million connections by 2025. Web-enabled devices and sensors enhance the ability of ERP systems to generate real-time reports on various location and status related issues.

Machine health monitoring is a central part of calculating Overall Equipment Effectiveness (OEE). The days of periodic manual checks are now fading. The internet of things (IoT), Industry 4.0’s foundational technology, enables continuous remote monitoring.

IoT and AI will play a key role in evolving the industry’s approach to solving supply chain issues from reactive to proactive, setting them up for future success!

RAIN RFID, IoT and AI are key to a proactive supply chain | Technology | Supply Chain Digital RAIN RFID, IoT and AI are key to shifting supply chain’s technology adoption from reactive to proactive in the post-pandemic era

The next big launch from the IoT pioneers of Sri Lanka SenzMate IoT Intelligence!

Happy to introduce Factoryspy Industrial IoT platform provides real time data driven insights to optimize and improve the manufacturing operations by eliminating the process inefficiencies.

Digitalize your manufacturing floor today!
Call us for free IoT 4.0 consultation.
Contact us now for more details : 011 424 8299 or [email protected]

Factoryspy Industrial IoT Platform provides data driven insights that help companies make quality improvements, reduce waste and gain more insight into the manufacturing process through the automated data collection with sensors and IoT gateways!