Beckhoff > Case Studies > Series Production with Lot-size-1 Flexibility

Series Production with Lot-size-1 Flexibility

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Technology Category
  • Automation & Control - Automation & Process Control Systems
Applicable Industries
  • Consumer Goods
Use Cases
  • Process Control & Optimization
The Challenge

Nobilia manufactures customized fitted kitchens with a lot size of 1. They require maximum transparency of tracking design data and individual processing steps so that they can locate a particular piece of kitchen furniture in the sequence of processes.

About The Customer
Nobilia manufactures 580,000 kitchens per year in two manufacturing plants located in East Westphalia, Germany.
The Customer
Nobilla
The Solution

With Beckhoff and Oracle in cooperation, a link between ERP and design software was created. Meanwhile, TwinCAT enabled Nobilia to continuously tap efficiency potential through the integration of stand-alone solutions. High-level language applications are used in production plants to communicate with the database and supply the respective plant controllers with adapted information. Solution Assessment - Type: IoT - Maturity: Medium (technology has been on the market for <5 years) Hardware Components - Beckhoff Control Panel

Data Collected
Communication Performance, Design Library, Parts Type and Number , Production Efficiency, Throughput Per Plant
Operational Impact
  • [Efficiency Improvement - Productivity]
    Maximum production flexibility is enabled through the use of PC-based control technology.
  • [Efficiency Improvement - Production Flexibility]
    A lot size of 1 production is enabled by transparent data flow and system integration.
  • [Management Effectiveness - Internal Collaboration]
    Deeper integration of information across departments and business units improves internal collaboration and end-to-end customer service.
Quantitative Benefit
  • Initial test applications indicate annual energy savings of around 20%.

  • Productivity improvements of 10% are expected.

  • Initial tests indicate a reduction in maintenance expenditures of around 50%.

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