Exor International SpA

Lean Digital Transformation and the 5G Factory | Case Study

Exor International SpA

Lean Digital Transformation and the 5G Factory | Case Study

Scenario

EXOR International is an Italian company which operates globally, designs, develops and manufactures solutions HMI, control and industrial IoT that integrate the ease of use of advanced technologies.

The collaboration between Exor International and Bonfiglioli Consulting began when management set out to. To implement a new logistics-production model, with a lean perspective, in order to support and govern the growth in demand and variety demanded by the market, increase the productivity of the production site, rationalize inventory and decrease the delivery time to the end customer. 

Together they worked on the creation of the first 5G FACTORY in which every part of the process is digitized to optimize processes and products through the collection and use of every piece of data and information. A project that, thanks to the widespread use of the new 5G technology within the new production site, makes it possible to accelerate the digital transformation Of enterprises.

Areas of intervention

Activities related to processing in a Lean perspective Were:

  • Study of the current state through the application of the Value Stream Map on all product families
  • definition and implementation of a Kanban Supermarket 
  • Review of line layouts and policies for internal and external logistics 
  • Introduction of project management tools: Scrum and Kanban

Subsequently, a series of projects were initiated to enable the digital transformation Of Exor International in collaboration with Digibelt Ltd., innovative startup of Bonfiglioli Consulting.

Process control on laser stamping equipment using sensors and an Anomaly Detection algorithm that can identify anomalies in the stamping process based on the following data from the sensors :

  • Vibration, shock, or abnormality of moving parts that induce vibration on the machine during the process.
  • Fumes, abnormal smoke emissions may indicate poor or too much stamping.
  • Energy Consumption: Abnormal consumption may indicate degradation of the stamping system.

Drift control operation siliconing plant
Adopted Solution: use of sensors and an Anomaly Detection algorithm that can identify anomalies in the Siliconing process based on abnormal vibrations, an abnormal vibration could represent a blockage of the siliconing arm.

AOI (Automatic Optical Inspection) Project.
Target: Detect any screen anomaly (7'', 10'', 15'', 17'', 19'', 21'' TFT)
Solution Adopted:  Use of pre-processing algorithms and Artificial Intelligence (Neural Networks, etc.) accelerated by specific Intel hardware (Movidius Stick), for online analysis and identification of potential defects.
Through a 4K linear digital camera, captured images are processed and compared in real time with "Good" TFT images. Any differences are highlighted as potential Anomalies.
An experienced operator, on board the machine, consults the image with evidence of the various identified defects that he can classify for statistical purposes.

Smart Factory KPI Project
Target: identification and creation of Dashboard with KPI directional e operational fed by data from the field (Corvina) in real time and identification and creation of Dashboard e Customer KPIs To create a Customer Experience.
Solution adopted: defining KPIs and building an interactive dashboard.

Achievements

The goals achieved by the team were:

  • increased productivity of 15%
  • increased volumes produced by the 43%
  • Increased customer service level of the 55%
  • Reduced lead time for delivery of finished product by 14%

The goals achieved

+15%

PRODUCTIVITY.

+55%

LEVEL OF CUSTOMER SERVICE

-14%

LEAD TIME FINISHED PRODUCT DELIVERY