in Industrial Processes
O3 facilitates the collection of digital data (typically Big Data)
about the quality of industrial processes, such as information
about products’ quality corresponding to a given production
recipe, defects in a production line, as well as tracking and
tracing of materials and processes that led to given quality
result. The processing of these data can therefore be used to
optimize the quality of industrial processes, through replicating
successful processes, while avoiding malfunctions and defects.
Quality control is therefore one more O3 use case with a
This use case has been implemented in Gulf union Ksa, Chin Lait Algeria and Obeikan Folding
Carton. This project also put emphasis on change management and the consequences of change
and how that will affect the organization. Since Industry 4.0 involve a high level of changes to the
processes and to the company culture, it could be a good idea to expand change management
Value propositions for this use case is given below:
|Value proposition for Q 4.0
|Augment, or improve upon
|Real time work instructions. Early identification and communication.
Segmentation of stakeholder. Stronger collaboration with partners.
Improved communication and collaboration, facilitating innovation and sharing of ideas
|Increase speed and enhance
the quality of decision – making
|Cyber – aided quality training. Quality tracking and forecasting. Improved
responsiveness. Customization. Smart forecasting
|Anticipate changes, reveal biases
and adapt to new circumstances
|Real time machine management. Machine management by big Data. Rich Information
& analytics. Easily decision marking. Pre-production quality assurance.
Early failure detection and prediction
|Learn how to learn. Cultivate self
awareness and other awareness
|Supplier chain quality management . Demonic interaction with market needs.
Instant reconfiguration of manufacturing processes. Motivating for change environment
|Reveal opportunities for
|New product development quality. Lean quality management. Smart resource allocation.
Improved coordination and effective evaluation
|Improve transparency, traceability
|Real time quality audit. Self learning and early prediction or error. Less downtime with
early maintenance predictions. Intelligent quality control systems. Real time quality