What Is Industry 4.0 and How Is It Effective For The Manufacturing Data Platform?
“Everything is turning digital, even business. You can buy or sell goods with one click, and within this, we should also upgrade our business to compete with other bulls. So in such times knowing how to start digitizing your process is vital. Let's know everything about the manufacturing data platform and its analysis.”
What Is The Manufacturing Data Platform?
A manufacturing data platform is a journey of processing, analyzing, and storing data from a huge number of resources. It reduces latency, helps with faster responses towards processing conditions and thus reduces the costs of central processing and analysis.
“But how does all this take place? Industry 4.0 is what you should know;”
“The above picture shows how the big data or the process takes place in the manufacturing platform.”
What Is Industry 4.0?
Industry 4.0 is a name for the current automation and data exchange trends in manufacturing technologies, including cloud computing, the Internet of things (IoT), cognitive computing, cyber-physical systems and creating the smart factory.
With such bulky data, how can all this take place? Why only industry 4.0 is more applicable for today's AI systems? Let's see:
“The below picture portrays where one can use big data kr in which fields big data exist.”
What Are The Key Driving Features That Enable Industry 4.0?
There are many key driving features after application of industry 4.0, and it includes:
- Digitization, optimization and customization of production
- Automation and adaptation;
- Human-machine interaction;
- Value-added services and stores
- Automatic data exchange and communication.
“Once you save the data, it helps with the required analysis, which helps the manufacturing company to derive the benefits from using industry 4.0.”
What AI ML Features Enable Industry 4.0?
- Error Reduction: Intelligent algorithms can perform very well tasks that are bound to make any errors in processes executed by humans. Since algorithms are not liable to external factors, they are unlikely to suffer these consequences.
- Cost Reduction: Several e-commerce stores or banks use robots for customer services. Human employees are only needed when it's a more complex problem. Companies can reduce employee costs or appoint them to other strategic tasks that increase profit and focus on their business.
- Revenue Growth: With fewer errors and more employee focus on critical processes, decision-makers will get more time to think about the business and leave other AI tasks.
New Data Entities For The Manufacturing Area
| Capacity reservation | Enables users to export capacity reservations, which can be useful (For example, for building capacity overview visualizations) |
| Batch order formula lines | Enables users to import and export batch order formula lines. The import option can be useful when migrating data. |
| Batch order co- and by-product | Enables users to import and export batch order co- and by-products. The import option can be useful when migrating data. |
| Production route transaction | Enables users to export production route transactions. This can be useful for building analytics for manufacturing performance. |
| Indirect activities (JmgIpcActivity) | Enables users to import and export indirect activities. This can be useful when preparing data for new instances. |
| Indirect activity categories (JmgIpcCategory) | Enables users to import and export categories for indirect activities. This can be useful when preparing data for new instances. |
| Formula version (pmfFormulaVersionEntity) | Enables users to edit in Excel. |
| Report as finished journal (header and lines) | Enables users to export and import reports as finished journals. |
| Report as finished journal (header and lines) | Enables users to export and import reports as finished journals. |
| Route card journal (header and lines) | Enables users to export and import route card journals. |
| Production picking list journal (header and lines) | Enables users to export and import production picking list journals. |
| Profiles (JmgProfileTable) | Enables users to import and export profiles. |
| Pay agreements (JmgPayAgreementTable) | Enables users to import and export pay agreements. |
| Item sequence (PmfSequencingItemTable) | Enables users to import and export pay item sequences. |
Should One Continue With The Old Ways Or Go With Advanced Techniques?
Most of the manufacturing data programs are what we expect to be beneficial due to changing technology. However, most people focus on the analysis and storage phases and neglect the ingestion, communication, and visualization stages.
Conclusion:
Hence these trends, which are currently used more in the manufacturing process, highlights an opportunity for standardized development, covering all the areas and having openly accessible tools.