In the increasingly competitive world of manufacturing, manufacture’s strived to implement solutions to enhance overall production.
A solution that has evidently shown improvements in productivity across the manufacturing industries is the implementation of the OEE concept.
OEE is the premier metric for measuring production efficiency across industries. OEE is calculated as the product of availability, performance & quality rates.
The OEE can be calculated by,.
Availability equals to Total Run Time/Available Production Time
Performance equals to Standard Cycle Time X No Of Components Produced / Actual Run Time
Quality equals to No Of Non-Defective Component Produced / Total No Of Components Produced
Every manufacturer strives for 100% OEE. It may be possible in an ideal world, but in real-world conditions, there were numerous factors that can prevent manufacturers from achieving 100% OEE. With the main factor being machine availability, the manufacturers can ensure their overall machine availability by adapting predictive maintenance.
Predictive maintenance is the maintenance technique that utilizes condition monitoring tools to keep track of the health of equipment to detect faults & predict equipment failure.
Vibration Technology: Measuring vibration levels and frequencies of machinery and using that information to analyze the health of machines and their components.
Uses sound to identify potentially failing assets by detecting high-frequency sounds and
converting them into audio and digital data.
Electrical: Employed to examine the incoming power quality of assets using motor current readings from clamp-on ammeters to measure the current in a circuit.
Visual Inspection: Visual inspection was the first method used for predictive maintenance. Almost from the beginning of the Industrial Revolution, maintenance technicians performed daily “walk-downs” of critical production and manufacturing systems in an attempt to identify potential failures or maintenance-related problems that could impact reliability, product quality, and production costs.
Overall equipment effectiveness (OEE) is the benchmark used for world-class maintenance programs. The OEE benchmark is established by measuring equipment performance. Measuring equipment effectiveness must go beyond just the availability or machine uptime. These all factors of OEE availability of machine will be enhanced by using predictive maintenance tools. In PdM, machine failures can easily predict and resolve. Mostly in PdM, vibration analysis is the key factor to predict 60% of mechanical and electrical-related failures.
Plant efficiency improvements can be scarce and may only be achieved by streamlining maintenance processes.
Signals & Systems (India) Private Limited commonly known as SANDS is primarily a technology company manufacturing niche products using embedded technology for the Generation, Transmission & Distribution segments of the Power Industry. On the Services front, we specialize in Energy Management Solutions to manage energy consumption efficiently to avoid penalties. We also undertake testing of Energy meters at the site on behalf of the utilities as part of the regulatory guidelines.
Our core guiding principle has been ‘Make Global Standard Products in India” ever since the inception of the company. We’ve received several accolades and recognition for the innovative products that we’ve designed and manufactured in India. Most of our products have been the first of their kind in the country. We have over a decade, entered into the Industrial segment with solutions for IoT-based Predictive Maintenance such as Vibration Analysis, Current Signature Analysis, & Energy Management. To know more about us and other details, please visit www.sandsindia.com or write to email@example.com