Non-quality cost optimization model in a Colombian motorcycle assembler

Abstract

Non-quality costs in the motorcycle assembly process are the additional costs incurred due to defects or errors during production. These costs can significantly impact the efficiency and profitability of the assembly process. Therefore, it is essential to implement effective quality control measures to minimize costs and ensure the quality of the final product. In this paper, a multi-objective non-quality cost optimization model is developed to determine the optimal levels of process variables in a motorcycle assembly process. The methodology consists of four steps: (1) statistical analysis of the model variables, (2) transformation and modification of the variables, (3) determination of the lexicographic problem, and (4) analysis of the results. The results showed a high correlation between the variables and the determination of optimal levels of process variables resulting in a reduction of 15% of the total non-quality costs.