Fabric Consumption refers to the average amount of fabric required for a garment. Understanding the factors affecting fabric consumption is essential to finding solutions for material savings in industrial garment production, thereby reducing product costs. This is particularly significant in jeans production. This study examines the impact of fabric width, the number of garments per marker layout, and the number of jeans components on marker length, marker efficiency, and fabric consumption using Bayesian Model Averaging (BMA) in R software. The results indicate significant multivariate linear relationships between the marker layout parameters and marker length as well as fabric consumption (R2 = 0.9736 and 0.602, respectively). When the fabric width increases and the number of garment components decreases, both marker length and fabric consumption for jeans are reduced.