Bindley Corporation has a one-year contract to supply motors for all washing machines produced by Rinso Ltd. Rinso manufactures the washers at four locations around the country: New York, Fort Worth, San Diego and
Minneapolis. Plans call for the following number of washing machines to be produced at each location:
New York 50,000
Fort Worth 70,000
San Diego 60,000
Bindley has three plants that can produce the motors. The plants and production capacities are:
Due to varying production and transportation costs, the profit Bindley expects to earn on each 1,000 units depends on where they were produced and where they are shipped. The following table gives the accounting department estimates of the dollar profit per unit. (Shipment will me made in lots of 1,000.)
Produced at New York Ft. Worth San Diego Minneapolis
Boulder 7 11 8 13
Macon 20 17 12 10
Gary 8 18 13 16
Given profit maximization as a criterion, Bindley would like to determine how many motors should be produced at each plant and how many motors should be shipped from each plant to each destination. Also indicate which of the plants has excess capacity and how much© BrainMass Inc. brainmass.com October 16, 2018, 11:10 pm ad1c9bdddf
The solution examines transportation problems using the excel solver function. Given the maximization criterion, the amount of motors which should be shipped from each plant are determined.
Transportation Model linear programming model. Need help setting up problem for Excel solver.
Having real problems setting up transportation problems in Excel's Solver. Please help with objective function, constraints, formulas, etc. Spreadsheet would be wonderful soI can see how to do it!
The Krampf Lines Railway Company specializes in coal handling. On Friday APril 13, Krampf needed empty coal cars to be moved from three locations (Morgantown, Youngstown, and Pittsburgh) to four other locations. (Mill Valley, Coal Town, Junction City, and Limeburg). Using a railway city-to-city distance chart, the dispatcher constructs a mileage table for the preceding towns, as shown in the table. The table also shows the availablilities and requirements. Find the best shipment of coal cars to minimize the total miles traveled by the cars.
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