Most plant managers are pretty happy with their existing plant capacity based on traditional ‘derived data‘. However, there is tremendous scope to uncover hidden capacity and gain sustainable throughput. The root cause of the current inefficiencies are (1) Derived Data (Lack of Real-time data) (2) Erroneous Manual Efforts and (3) Lack of ‘Single source of truth’ at all levels.
With insights from the Solution Delivery team, our senior experts have identified the key field challenges. In this webinar, the team discusses how IoT helps manufacturing companies bring hidden capacity to surface thereby enabling them to take informed decisions and gain sustainable improvements in throughput.
Outlining the core benefits and key drivers, will help CXOs link their IoT initiatives with business and financial performance.This is the ‘why’ step in the IoT planning process.
‘The Internet of Things : Your First Step to Industry 4.0’ maps the four core benefits for organizations to determine their strategic rationale for:
1. Improving Operations: Productivity and Efficiency (OEE), Condition Monitoring, Predictive Analytics etc.
2. Optimizing Assets: Asset Utilization, Asset Health Diagnostics & Repair etc.
3. Enhancing Services: Machine Learning, Better Customer Experience etc. and
4. Generating Revenues: New Pricing models based on Usage, Real Time Dynamic Pricing etc.
Download this whitepaper to identify your business objectives and integrate it with the technical architecture required for the much sought after competitive advantage and operational effectiveness – Your first step to Industry 4.0 !
Altizon together with Kepwarepresented an IoT Webinar on ‘Building a hyper scalable system for the Industrial Internet of Things’ for :
As CIOs drive the charge of the enterprises toward Digital Transformationthey are rapidly evolving to becoming theChief Learning Officers. Tasked with building a digital footprint that captures not just the erstwhile IT systems and processes but extending them to better understand the physical world and context they operate in.
– And learn how the leading CIOs are now rapidly embracing technologies that help them know their customers better and drive proprietary learning towards new disruptive business models and products.
Author : Vinay Nathan, CEO at Altizon Systems | Excerpts fromCIO Review
Today, CXOs are unable to monitor progress of productivity initiatives and processes. The complexity increases when there are diverse machines with mix of new and legacy technologies that are critical for any IT enablement on the machines.
– By connecting the machines to capture data inreal time and generate reports on critical parameters like Hourly Parts Count, Machine Down Time, Total Predictive Maintenance (TPM)parameters like – OEE, Machine Availability, Performance Efficiency, Quality Rate, and Maintenance Reports like – Downtime, Mean Time Between Failures (MTBF), Mean Time to Repair (MTTR), etc.
For many organizations globally,Compressors are the heart of their manufacturingprocesses. But when the compressors fails, it brings a business to a halt.
The compressor failure cannot be diagnosed and rectified immediately. So the implementation ofsensor based intelligent systemsfor field data collection has become a critical need for early prediction of failure.
Download this article to learn howcompressor manufacturers can implement IoT (Internet of Things) enabledsmart systems for predictive maintenance over real time data collected from field sensors
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