Decision Systems and Statistics

The sm completely food company gobblers, Inc. is difficult to uprise various Mexi ass food products and attempt to handle them to a chain of grocery stores located in Texas and new Mexico named Hesperian Foods. Both products are love apple salsa, as they both adjudge different blends of love applees. As a company attempting to aid Toms Inc., we attempted to erupt a linear programming model that will abet Toms to envision the mix of salsa products that will tolerate them to maximize their scratch contribution. We beginning thought that the formula for maximise mesh was 1.64X1 + 1.93Y (X1 being westward Foods, and Y being Mexico urban center Salsa). We realized that this was not profits; rather it was the tax tax of the company. Therefore, we essential to find our constraints and the cost of all the products such as the tomato plantes, act, and paste before we could find prohibited maximizing profit formula. The Western Foods generic store salsa contains 50% whole tomatoes, 30% tomato sauce and 20% tomato paste. The Mexico City Salsa contains 70% whole tomatoes, 10% tomato sauce and 20% tomato paste. For their current production period, Toms, Inc. can only bribe up to 280 pounds of whole tomatoes, 130 pounds of tomato sauce and c pounds of tomato paste. The following formulas are our constraints: exclusively Tomatoes: 5X+ 7Y