Virtual human modelling for work position improvement in cutting process

Virtual human modeling is one of the effective options to improve work position. Human behavior that is very dynamic in carrying out its work activities can be more easily captured by using this simulation. This study aims to design a work position improvement in the cutting department by using virtual human modeling. The simulation is carried out using a software jack that is integrated with AutoCAD. The indicators to be evaluated are Low Back Analysis (LBA), Ovako Working Analysis System (OWAS), Rapid Upper Limb Assessment (RULA), and Posture Evaluation Index (PEI). Initial identification with Nordic Body Map identified complaints on the right shoulder, back, right upper arm, waist, left knee, and right knee. Simulation of the initial conditions using four established posture risk indicators shows that the cutting process has a high work risk and needs immediate improvement. Proposed improvements in adding a workbench for cutting operators are evaluated with a software jack simulation. The results show that the LBA, OWAS, and RULA indicators are declining. In addition, PEI became smaller than the previous value of 2,726 to 1,592. The Evaluation results can be considered in the company's decision to add a workbench facility in the cutting process to minimize the risk of posture to the operator.