4iR Technologies specializes in smart manufacturing for Discrete products and intends to implement Virtual Manufacturing System (VMS) based Enterprise Resource Planning (eERP) suite of software permitting use of Digital Twins. Examples from early development of some of the VMS modules can be accessed through the following Videos:

1 VMS Administrator 2 VMS Design 3 VMS Planning 4 VMS Monitor

Other modules include:

5. VMS Fault Diagnostic
6. VMS Quality Assurance
7. VMS Assembly
8. VMS Vendors
9. VMS Business
10. VMS Training
11. VMS Digital Twinning, and
12. VMS Help

eERP will use Unity for Graphics and Microsoft C# for developing the Inference Engine. The Digital Twin interface with prime mover – mechanical equipment will involve legacy and Industry 4.0 communication standards such as Industrial Ethernet/ SERCOSE IV.
There will be use of Artificial Intelligence and Machine Learning supporting the domain knowledge for smart Digital Twinning.
After the development of pseudo codes for eERP, it will be possible to convert all User Interfaces (UIs) to any language providing a satisfactory User eXperience (UX) taking care of some of the aspects of Industry 5.0. The existing conventional discrete manufacturing machines in the local industry will be upgraded using Manual Data Interface (MDI) terminal for implementing the Integration pillar of Industry 4.0.
Once implemented completely, the eERP suite of software will permit complete remote operation of the industry through the user Dashboard with appropriate authentication and cybersecurity.
The ultimate objective of eERP suite of software is to have mass virtualization of Discrete Manufacturing Processes as backend semantic database that can be accessed by eERP logic to execute different VMS modules. After the implementation of discrete manufacturing based eERP suite of software the suite of software can also be extended to include process-based manufacturing.
Each manufacturing process is considered as that of a system in its different configurations i.e. an Embedded System, Cascaded System or a Complex System as exemplified in the following figure. Each system has a distinct control function with appropriate Input Energy Form/s as well as Output Energy/ Work Form/s with one or multiple Objective Function/s. Waste is always generated from systems developed by humans. Strategies to dispose of the waste in real manufacturing should be given prime importance for the sake of sustainable living on planet earth.

system
Definition of system

Classification of Manufacturing Processes can best be described as follows:
1. Metal Casting Processes
2. Sheet Metal Forming Processes
3. Metal Removal Processes
4. Joining Processes
5. Polymer/ Plastic Reinforced Processes
6. Processing Metal Powders, Ceramics, Glasses, Composites & Super Conductors
7. Fabrication of Micro Electrical and Mechanical Devices
8. Non – Conventional Machining
9. Additive Manufacturing
The constituent processes in some of the classification given above are as under:
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transformer
The methodology to convert the discrete manufacturing process into a digitally twined process is provided in following flow chart.
transformer
The procedure to convert manufacturing process, cell or system in Digital Twin and the dynamics of the operation of the factory are described above.