DISCOVER OUR CUSTOMER’S JOURNEYS

Real stories,
superior productivity

This is how our customers excel in manufacturing with Qlector LEAP, making everyone’s life on the shop floor easier.

Discrete Manufacturing | Railway Industry

Elimination of 11 Excel Sheets and 10% Optimization of Total Production Time

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Challenges

  • Manual search for available production capacities
  • Manual planning of production lines in the ERP system
  • Manual data entry into 11 Excel files
  • Manual scheduling of individual tasks across work centers
  • Delays and long delivery timelines

Benefits

  • 100% time saved in the workplace
  • Optimized production time by 10%
  • Created more realistic planning scenarios

Discrete Manufacturing | Automotive Industry

Saving 3 Days a Week for Team Coordinators and Production Planners

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Challenges

  • Manual planning consumed significant time, leading to inefficiencies and errors
  • Schedule adjustments required extensive phone and email communication, causing delays
  • Key knowledge was limited to a few people
  • Slow response to change

Benefits

  • 3 days/week saved for planners
  • 25% reduction in downtime with forecasting issues 3 days ahead
  • €300.000/year saved in costs

Discrete Manufacturing | Electronics Industry

Leap to Advanced Production Planning and a 25% Decrease in Downtimes

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Challenges

  • Managing a wide range of products required extensive planning
  • Frequent schedule adjustments for recipes, product changes, and cleaning added complexity
  • Implementing Just-In-Time (JIT) delivery was difficult due to unpredictable demand

Benefits

  • 75 hours/week saved for planners
  • 25% less downtime with 10% improvement in JIT production
  • €220.000/year saved in costs

Discrete Manufacturing | Automotive Industry

Reducing Lead Time by 10% for a Multinational Discrete Manufacturer

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Challenges

  • Rising wages increased financial strain
  • Managing 2000 products and 1500 daily work orders added planning complexity
  • Long, unpredictable lead times delayed demand fulfillment
  • Manual labor scheduling was error-prone
  • Excess inventory

Benefits

  • 10% reduction in lead times
  • €135.000 annual savings from increased efficiency
  • 0.5 hours saved per worker through improved task allocation

Process Manufacturing | Food & Beverage Industry

Achieving a 5% Increase in OEE for an Austrian Food & Beverage Supplier

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Challenges

  • Last-minute order changes led to inefficiency
  • Scheduling was hindered by bottlenecks
  • Failed attempt to digitize scheduler knowledge increased company risk, highlighting the need for a more robust solution

Benefits

  • Extended scheduling horizon by 3 days
  • 1-2 days saved in planning
  • 5% increase in Overall Equipment Effectiveness (OEE)

Process Manufacturing | Chemical Industry

Implementing Fast “What-If” Predictive Simulations at Paint Producer’s Plants

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Challenges

  • Inefficient schedules caused frequent issues
  • Manual scheduling was time-consuming and error-prone
  • Complex product levels made planning difficult
  • Knowledge bottlenecks posed continuity risks
  • Seasonal fluctuations complicated resource and stock planning

Benefits

  • 50% Significant Time Savings
  • 20% Decrease in organizational downtimes
  • Moving from daily to weekly scheduling