Variability and correlation of parameters for dynamic balancing of an assembly line based on a statistic method

In this paper, we will focus on how highly variable characteristics impact assembly line balance. Mass customization makes balancing the production line more difficult. Typical assembly lines are designed to produce a single product or a narrow range of comparable items in high quantities, the goal of this research is to determine the essential components that have a substantial influence on the balance of the assembly line. To do this, the research proposes a 3D matrix interpretation and statistical methods using the correlation study with the MATLAB tool. The objective is to discover the highly changeable parameters and the interaction between each parameter that impact the line's balance. The results of this approach show that altering the piloting parameters of the assembly line has an influence on its balancing, and hence the line must be dynamically balanced. The proposed approach has been used in the automotive sector, notably in the wire harness manufacturing line.