A STATISTICAL OPTIMIZATION IN ERGONOMIC PARAMETERS INFLUENCING MUSCULOSKELETAL DISORDER IN WORK ENVIRONMENT USING RCR-WOA METHOD

Musculoskeletal disorder (MSD) is considerably one of a crucial reason for the cause of work disability all over the world and also it is considered as a more severe issue when compared with the non-fatal injury and illness. MDS is mostly associated with the raise in the cost to the employers on behalf of absenteeism, productivity loss, increasing health care and compensation cost respectively. Subsequently, one of a critical approach is the rectifying, controlling and the curing of the concerned MSD hazard. In this paper an efficient methodology named Random Coefficient Regression Analysis-Whale Optimization Algorithm (RCR-WOA) is being practiced to optimize the ergonomic parameters such as stress and strain of MSD. Henceforth, the evaluated results are statistically scripted and approximated by the Neuber's rule and also to obtain an adequate stress and strain parameters. Sequentially, the distinct performance of the proposed methodology is being compared on the basis of Bilinear Kinematic Hardening. The proposed methodology is mathematically scripted and executed on the working platform of Mat Lab and the performance results are analyzed and compared with existing approaches for better outcomes. Conclusively, based on the overall inquiry the proposed methodology seems to be more efficient and accurate for optimizing the stress and strain MSD parameters in industries when compared with the existing one.