Back to All Case Studies

Back to All Case Studies

Back to All Case Studies

Case study 2: Boosting Packing Line Performance: +32 Tons/Day Across 7 Lines

Case study 2: Boosting Packing Line Performance: +32 Tons/Day Across 7 Lines

Case study 2: Boosting Packing Line Performance: +32 Tons/Day Across 7 Lines

Through IoT-driven insights, corrective training, and smarter machine settings, EroNkan helped a leading food manufacturer achieve sustained performance improvements across 7 lines.

Through IoT-driven insights, corrective training, and smarter machine settings, EroNkan helped a leading food manufacturer achieve sustained performance improvements across 7 lines.

Important definitions

Important definitions

  • Performance = Avg Speed/Std Speed. This KPI gives us an idea of how

    efficiently the machine is running when it is in running condition.

  • Extra Pouches Produced = (New Avg Speed - Old Avg Speed) * Run time.

    This gives the no. of extra pouches produced due to the speed

    improvement.

  • No Combination Counts = No. of cycles wasted by the weigher. In this case

    weigher waits for the product to drop into the remaining hoppers and then

    checks for the combination again. This significantly reduces the weigher

    speed.

  • Performance = Avg Speed/Std Speed. This KPI gives us an idea of how

    efficiently the machine is running when it is in running condition.

  • Extra Pouches Produced = (New Avg Speed - Old Avg Speed) * Run time.

    This gives the no. of extra pouches produced due to the speed

    improvement.

  • No Combination Counts = No. of cycles wasted by the weigher. In this case

    weigher waits for the product to drop into the remaining hoppers and then

    checks for the combination again. This significantly reduces the weigher

    speed.

Observations

Observations

  • Data analyzed for one week.

  • Most lines showed performance <85%, some even <70%.

  • Machine-level analysis showed high no combination counts due to:

    • 1–3 hoppers disabled by operators.

    • Tight target weight range for higher-value products.

    • Uneven product distribution caused by low product drop and improper

      feeder vibration settings.

  • Improvement potential: >32 tons/day packing capacity across 7 lines.

Corrective measures

Corrective measures

  • Disabled hoppers cleaned and re-enabled:

    80 hoppers listed for repair/maintenance; ~50 already resolved by client’s

    engineering team.

  • Training conducted by Eronkan:

    • 3 sessions for operators.

    • 1 session for supervisors & managers on issues and correct procedures.

    • Supervisors & managers retrained on interpreting IoT platform data.

    • One supervisor assigned to continuously monitor improvements and

      ensure adherence to corrective measures.

Results

Results

Performance Data:

Performance Data:

Performance Gains

Performance Gains

  • 6 of 7 lines saw significant performance jumps within days of intervention.

  • Biggest leap: Line 6 rose from

  • Highest performer: Line 1 climbed from

  • All lines achieved stable, sustained improvements beyond baseline.

Extra Output

Extra Output

  • Added 32+ tons/day potential capacity across 7 lines.

  • Notable gains

  • Even low-baseline lines delivered substantial extra output.

Sustainability

Sustainability

  • Performance improvements held steady post-training and maintenance.

  • Data shows long-term potential, not temporary spikes.

Want The Entire Breakdown?

Want The Entire Breakdown?

Want The Entire Breakdown?

Enter your email to unlock the case study, including metrics, implementation steps, and ROI proof.

Enter your email to unlock the case study, including metrics, implementation steps, and ROI proof.

Enter your email to unlock the case study, including metrics, implementation steps, and ROI proof.