Accelerating the
Industrial Internet of Things

Series Production with Lot-size-1 Flexibility

Series Production with Lot-size-1 Flexibility
Series Production with Lot-size-1 Flexibility
Series Production with Lot-size-1 Flexibility
Series Production with Lot-size-1 Flexibility
Series Production with Lot-size-1 Flexibility
Beckhoff Beckhoff
View Full Case Study
Contact Vendor
Feature New Record
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.
Nobilia manufactures 580,000 kitchens per year in two manufacturing plants located in East Westphalia, Germany.
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
Real-time production data, including design information, parts logistics, production status
Emerging (technology has been on the market for >2 years)
Production Capacity - Maximum production flexibility is enabled through the use of PC-based control technology.
Mass Customization - A lot size of 1 production is enabled by transparent data flow and system integration.
End-to-end Service Delivery - Deeper integration of information across departments and business units improves internal collaboration and end-to-end customer service.
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%.
The IoT ONE Radar indicates the mix of hardware, software and services used in an IoT solution.
Processors provide the intelligence behind IoT systems and are often integrated into system-on-a-chip designs.
Products used by end users that contain IoT technologies. Examples include enabled equipment, wearables, hand-held scanners, and tracking devices.
IoT analytics includes real-time or edge computing and batch analysis. Analytics can be behavioral, descriptive, predictive, or prescriptive.
Visualization solutions use dashboards, alerts, events, maps, and other tools to present easily comprehensible data to end users.
Data management solutions capture, index and store data in traditional database, cloud platforms, and fog systems for future use.
System integrators link IoT component subsystems, customize solutions, and ensure that IoT systems communicate with existing operational systems.
IoT data management consultancies help to make sense of big data, decide which data to maintain and for how long, and troubleshoot IT issues.
Get notified when Beckhoff publishes a new case study.