PERANCANGAN SISTEM LOADING-UNLOADING BENDA KERJA KOLABORATIF MANUSIA-ROBOT PADA STASIUN PEMESINAN

• Main Author: Anggara Dharmasaputra, Pramadya
• Format: Final Project
• Language: Indonesia
• Online Access: https://digilib.itb.ac.id/gdl/view/83895
• Institution: Institut Teknologi Bandung

In the face of an increasingly competitive industrial landscape, automation and flexibility have become essential for manufacturing small and medium enterprises (SMEs) to maintain their competitiveness. For one such SME, CV CSM, the optimal utilization of limited production resources such as labor and machinery are critical. However, developing robotic automation systems such as flexible manufacturing systems (FMS) in their conventional sense, which tend to be permanent and require significant costs, also presents a high risk for CV CSM. Therefore, this research aims to design a portable loading-unloading system based on a robotic arm that can accommodate the layout limitations of CV CSM's production floor. The design revolves around the Yaskawa GP7 robotic arm as a means of automating the loading and unloading of work parts in the form of aluminum blocks with dimensions of 186.8 × 35.4 × 80.0 mm and a weight of 1.487 kg for a machining process on a vertical machining center. This research proposes the use of a digital twin of the machine loading- unloading process as an input for the design of the layout and supporting equipment for the robotic machine tending cell. Subsequently, a dynamic analysis of the robotic cell design is conducted to determine its feasibility in supporting the robot-automated part loading and unloading process simulated through the digital twin. The result of this research is a digital twin of the robotic loading-unloading process that can be converted into a robot program and a design proposal for a portable machine tending station that is capable of supporting the robot during the robotic cell process. The designed system can handle up to eight workpieces in 24820.10 seconds or approximately 6.89 hours without human intervention, which also represents a 3.17% reduction from the manual process that has been automated.