Individual, autonomous agents, which are digital representations of physical items (parts and resources) in the manufacturing system, receive logical control in a MAS. Agents representing robots can request paths to get from point A to point B in these types of solutions. To maximize flexibility, like to automize the entire process when introducing new products, these pathways must be generated automatically with less human effort such as a few buttons to be pressed to verify or confirm the start procedure. Also, consume less time when deploying and integrating into the existing systems. There could be many scenario’s /complexities in today’s industries regarding customization but solving and applying ideas to reduce these complexities is what all are trying to solve. Traditional mass production manufacturing techniques are difficult to reconfigure for new items because of the various changes which must be made on the production line affecting time, production and costs, and as more customized products become available, new alternatives are required. Manual online programming of robots takes a lot of time and costs lots of money. It is feasible to generate collision-free pathways and entire robot programmes using off-line programming software such as ABB Robot Studio without having to test them on an actual robot. This is advantageous sincenew programmes may be developed without disrupting ongoing work. Off-line programming, on the other hand, is not automatic and takes time for personnel who usethese technologies. Many path planning algorithms are available and finding themost feasible and optimized planning algorithms is also important so that we can deploy that in Multi-Agent System (MAS). Hence this thesis work will help in supporting path planning by providing the flexibility to import the CAD models in their respective locations automatically rather than the manual placements of them in the simulated environment which could provide a collision-free path in the simulation. Utilising ABB’s Robot Studio software for visualising the process with other tools will help to contribute to the development the of Multi-Agent System (MAS) whichin turn contributes to Industry 4.0.