5. Conclusions

The assembly of the chassis consists of two stages. The first one involves the standardized basis chassis which is welded and constructed by automated robotic jigs. At the end of this stage a firstscan is required to troubleshoot any deviation problem with the manufactured module using the explained approach and steps. After this check, the additional and custom columnsand beams that cannot tobeautomated by the robotic arms are welded by the staff. After the end of this final stage, a second scan takes place to address any final modification and chassis quality after direct human intervention. Later, the next assembly can take place such the MEP rough-in, wallsorcement boards.

5. Conclusions

As the results show, the dimensional variability can be addressed can predict stacking problems with the erection of modularized projects. Using the BIM and LiDAR integration significantly improves the quality control process and can represent the data accurately and visually identifiable. In order to increase the efficiency of quality control methods, the space for optimization is critical especially in a world with growing technologies. This integration can also be presented as part of any tolerance management methodology that carefully plans the action flow needed and responses according to the shop quality inspections. It is also recommended that the manual placements of sensors for the scan sessions be automated inside the same engineering coordination intervention as a new stage. This means that a proposed methodology can be implemented where robotics jibs, can be fixed sensors that represent a new standard module stage inside the shop. This will not only facilitate the overall scan process, but also save overall production costs in labour and potential human error risks.