Track: Optimization

Abstract

Mattresses factory has four factors which been selected according to the High-speed automatic mattress quilting Sewing machine (WBSH-3). We implement variables of the growth of the textile in four groups (A, B, C, and D) and each has two-level on the Mattresses sector. However, from the data set, we have two categorical variables with Mattresses (Needle Gauge, Quilting Thickness/ Width, Speed, and Stitch Length) and there is four-level of Mattresses, also we do have Sewing Machine Factory which is for level two W, X, Y, and Z. The response is (Y) and the factor is the absolute variable is Mattresses. This means they are all equal which is the Needle Gauge means of Quilting Thickness/ Width mean of Speed mean of Stitch Length, they are equal the alternative hypothesis is that one is different. We analyze the variance of the P-Value we used to sort of the interpret that is the null hypothesis or in our alternative hypothesis earlier on it is (0.000) which means are all equal and it rejects the null data.