Automotive

Overview

The industry comprises enterprises and activities involved in the manufacturing of motor vehicles, including components, such as engines and bodies, but doesn’t include parts such as tires and batteries. The automotive sector has to chase more production for less and seeks to unlock the potential of their machines for maximizing their potential. The industry has moved to mass production, a process combining precision, standardization, interchangeability, synchronization, and continuity.

However, the pace at which industries change, makes it difficult for automotive sector to keep up. The industry is not able to adopt the fast-paced developments and hence, considers changing technology as one of the top challenges for the industry. This results into a hindrance in capitalizing on the benefits of IoT, AI and ML.

Information
Problem

Increase throughput

It’s time the automotive industry makes the most out of the shop floor using machine data. With Wimera, it’s possible to track and improve operator productivity with production analytics. Real-time machine monitoring capabilities through Wimera solutions also enhance the overall process effectiveness.

  • Cut down production costs
  • Predict and avoid downtime
  • Augment operators for exceeding productivity

Reveal machine capacity

It’s easy to keep a track of machine performance and identify underperforming machines immediately with Wimera’s solutions. You get empowered to address issues in real-time, calculate machine’s actual utilization, and make an informed forecast of your potential capacity.

  • Detect and rectify defects promptly
  • Address production bottlenecks & expedite time to market
  • Increase production margins
Solution

Numbers Speaks

Performance optimization through real-time visibility, analysis of downtime and machine history enable process engineers to keep machine running and avoid failures.

Numbers Speaks
20% INCREASE IN EFFICIENCY
30% INCREASE IN MACHINE UTILIZATION
51% INCREASE IN EQUIPMENT UPTIME

Case Studies

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