Sensitivity analysis on a variant machine guard compliance productivity model (VMGPEM) for a bottling plant using the OFAT technique

Abstract

Certainly, the operating errors of a given model can be assuaged by proper selection of its working parameters and distinctly identifying the most critical for optimization. To achieve this objective, sensitivity analysis is introduced to the system to show relevant strengths and avoidable lapses. For this study, the one-factor-at-a-time (OFAT) sensitivity analysis technique is employed to the model to disclose the input parameters in form of guard categories that is most significant in optimizing the machine guard compliance productivity for a particular period. The result of the experiment reflected fixed guards as the most significant guard category by which machine guard compliance productivity for the bottling plant can be optimized.