Optimization methodology of a product of white line by computational analysis using statistical approach and finite elements

摘要

Purpose: The industry constantly seek reduction of production costs combined with improved product quality. The major challenge faced is to maintain the product quality. In this work, it is proposed an optimization methodology for a product of the white line. The objective is to study the behavior of some components after a reduction in sheet thickness and maintain the same original structural loads.Design/methodology/approach: A two-dimensional mathematical model, obtained in CAD software, for numerical simulation of the effects of the reduction in thickness, is examined. Finally, it was developed an optimized methodology, based on mathematical and statistical analysis, in order to calculate the possible sheet thickness reduction from its original structure.Findings: It was observed that it is possible by means of computer simulation and appropriate statistical analysis to decrease the thickness of assembled components in order to optimize costs and processes.Research limitations/implications: Since this is an experimental research with numerical data, it would be fundamental for this technique of optimization a future research with physical products for comparison with the computational data.Originality/value: The objective of experiment is maintain the product quality and because it is a job for optimization of processes and consequently costs, the great beneficiary will be the industry.