Transportation Optimization using Python “PuLP”

<p>Assuming that Q Cells is in the process of optimizing its logistics operations, here are the key details about its current situation:</p> <p>1) Q Cells operates three warehouses located in Atlanta, New Jersey, and Arizona, with inventory levels of 2075, 1500, and 1000 modules, respectively.</p> <p>2) The solar module market is segmented into four geographic regions: East, West, North, and South. The respective demand for solar modules in these regions is as follows: East (1,380), West (1,815), North (920), and South (460).</p> <p>3) Q Cells&rsquo; logistics analyst has estimated the anticipated shipping costs from each warehouse to those four regional markets.</p> <p><a href="https://hobeom5263.medium.com/transportation-optimization-using-python-pulp-a3eb73edef27"><strong>Website</strong></a></p>
Tags: Python PuLP