Step 1 :Let the number of boxes shipped from Warehouse I to San Jose be denoted as \(x\), and the number of boxes shipped from Warehouse I to Memphis be denoted as \(y\). Then, the number of boxes shipped from Warehouse II to San Jose will be \(400 - x\), and the number of boxes shipped from Warehouse II to Memphis will be \(225 - y\).
Step 2 :We have two constraints here: \(x + y ≤ 500\) and \((400 - x) + (225 - y) ≤ 270\).
Step 3 :The total cost of shipping is given by the sum of the products of the number of boxes and the cost per box for each route, which is \(0.25x + 0.22y + 0.24(400 - x) + 0.19(225 - y)\).
Step 4 :We want to minimize this cost, so we need to find the minimum of this function subject to the constraints.
Step 5 :First, let's simplify the cost function: \(Cost = 0.25x + 0.22y + 96 - 0.24x + 42.75 - 0.19y\) which simplifies to \(Cost = 0.01x + 0.03y + 138.75\).
Step 6 :Now, let's solve the constraints: \(x + y ≤ 500\) and \(625 - x - y ≤ 270\). Solving these, we get \(x ≥ 355\) and \(y ≥ 0\).
Step 7 :Substituting these values into the cost function, we get: \(Cost = 0.01(355) + 0.03(0) + 138.75 = $141.30\).
Step 8 :So, to minimize the cost, 355 boxes should be shipped from Warehouse I to San Jose, and no boxes should be shipped from Warehouse I to Memphis. The remaining boxes should be shipped from Warehouse II. The minimum cost is \(\boxed{$141.30}\).