Galvanizing

AI-Powered Surface finishing and how galvanizing monitoring with AI can exponentially improve productivity.

How it works

Powerful Advanced Features

Dynamically introduce galvanizing monitoring with AI and initiate market positioning total linkage with clicks-and-mortar technology progressively procrastinate compelling.

Problem Statement

There is several drawbacks in manual monitoring process such as:

  • Inaccurate data by manual records
  • Process and Cycle-time Violations
  • Unable to track OEE of Tanks or Beams
  • No traceability of Assets and People
  • No Real-time Shop Floor Visibility & control
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Solution Provided

How we used Advanced tech trends to propose the following solutions for galvanizing monitoring with AI and positively impacting the outcome.

  • Zink & other tanks Monitoring
  • Crane & Beam Monitoring
  • Zinc temperature for every dip
  • Acid concentration in pickling
  • Jigging station monitoring
  • Process SOP & cycle time compliance

Features

Galvanizing Monitoring with AI and tracking of rack across all tanks

  • Measuring dipping time for each rack at different tanks
  • Monitoring and tracking of rack across all tanks
  • Total Output of each tank
  • Total Status of tanks
  • Beam Arrival/Departure time for each tank
  • Total Dip time for each tank
  • Type defined on Variant and SKU sub type
  • Record Beam No. and tracking
  • Idle time/Wait time between each tank
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Return on Investment

Intrinsicly impact resource sucking initiatives with 24/7 relationships communicate integrated products via synergistic leadership skills. Conveniently pursue future-proof web services through empowered bandwidth.

  • Full Compliance hourly and daily targets

  • 100% real-time Poka yoke enabled

  • Maximum feasible Resource OEE achieved

  • Material unavailability delay avoided