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- Formulate (50%) and solve (50%) problems using LP - A forward buying problem (similar to Pigskin inventory problem) - A transportation problem (similar to

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- Formulate (50\%) and solve (50\%) problems using LP - A forward buying problem (similar to Pigskin inventory problem) - A transportation problem (similar to SSDs problem). - Please use Excel solver to show your work. PDF files with solution will not be accepted. Forward Buying Problem - A major pharmaceutical wholesaler buys branded drugs from a manufacturer and sells them to pharmacies. - It estimates that the wholesale (W) price, the retail (R) price and pharmacy sales for a drug follow this trend: Forward Buying Problem - The inventory carrying cost for one unit for one month is $2. - Assume 0 initial inventory, how should the wholesaler buy to maximize its profit? Transportation Problem - There are three warehouses at Detroit, Pittsburgh and Buffalo. They have 250 130 and 235 tons of paper accordingly. There are four publishers in Boston, paper to publish new books - How do we ship papers to publishers to meet all demand and minimize cost? - Formulate (50\%) and solve (50\%) problems using LP - A forward buying problem (similar to Pigskin inventory problem) - A transportation problem (similar to SSDs problem). - Please use Excel solver to show your work. PDF files with solution will not be accepted. Forward Buying Problem - A major pharmaceutical wholesaler buys branded drugs from a manufacturer and sells them to pharmacies. - It estimates that the wholesale (W) price, the retail (R) price and pharmacy sales for a drug follow this trend: Forward Buying Problem - The inventory carrying cost for one unit for one month is $2. - Assume 0 initial inventory, how should the wholesaler buy to maximize its profit? Transportation Problem - There are three warehouses at Detroit, Pittsburgh and Buffalo. They have 250 130 and 235 tons of paper accordingly. There are four publishers in Boston, paper to publish new books - How do we ship papers to publishers to meet all demand and minimize cost

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