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With Linecraft’s intelligence layer, all the productivity losses are captured automatically with high precision.
Accurate Time Logs
Get records of the exact start time and end time of each loss at hh:mm:ss level.
Automatic Categorization
Get automatic insights about the loss - is it an Availability, Performance, or Quality quality issue.
Identify Loss Trends with Interactive Visualizations
Gain analytical insight into the loss types and trends with auto-generated graphs. Linecraft curates all the data of the losses you have attributed and puts it together into informative visualizations.
Enable a fast-paced and high-impact process of resolving the loss causes with Linecaft's intelligence layer.
https://wipro-linecraft-ai-44739071.hubspotpagebuilder.com/lossmanagement
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About
We’re a manufacturing intelligence company within the Wipro group, leveraging 45+ years of manufacturing and automation expertise.
Our SaaS product serves as an analytics tool focused on increasing the output in a manufacturing plant. It auto-identifies improvement opportunities that stay hidden from the human eye, unlocking the real potential of the manufacturing line.
It works as a single source of truth for the maintenance, quality, and production teams, making all their decisions highly data-driven and insightful.
We have demonstrated unprecedented business value to manufacturing giants across 3 continents. Striving forward to build an AI-powered future for manufacturers worldwide.
https://wipro-linecraft-ai-44739071.hubspotpagebuilder.com/lossmanagement
https://www.linkedin.com/company/linecraft-ai/product/
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Increasing Productivity of a Machine - More output from the same machine.
Increase Availability.
Improve the Standard Work and Minimize Deviations form Standard Work.
Reduce defective output - rejections.
Picture source: https://lineview.com/en/future-factory/beyond-oee/
Reduce the cost of manufacturing with better insights.
The ultimate goal of the Factory of the Future is to reduce the cost of transforming raw materials to a saleable product. A lower cost of manufacturing creates new potential to re-invest.
Harnessing technologies including AI and Big Data; however, will allow manufacturers to go beyond OEE Systems.
Maximising OEE Reduces Manufacturing Costs
Major costs in manufacturing are: assets which depreciate over time, labour to run the facility, maintenance and upkeep, utilities, overhead and cost of goods. When you move to the future, working with traditional OEE metrics will continue to help optimise these costs while working in tandem with other, even more intelligent and digital processes.
OEE is centred around minimising losses. Identifying and limiting planned downtime or external unplanned events, reducing speed loss, avoiding breakdowns and minor stops, and minimising both production rejects and rejects on start-up are all part of the major OEE evaluation criteria.
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