Question: Formulate the following problem as a Dynamic Programming problem and solve it using a multi- stage optimization strategy. (Note: No credits will be given for

 Formulate the following problem as a Dynamic Programming problem and solve

Formulate the following problem as a Dynamic Programming problem and solve it using a multi- stage optimization strategy. (Note: No credits will be given for solving it using any other means)new A company needs to have a working machine during neach of the next six years. Currently it has a new machine. At the beginnig nf each year, the company may keep the machine or sell it and buy a new one, but a machine cannot be kept for more than three years. A ne machine costs $5000. The revenues earned by a machine, the cost of maintaining it, and the salvage value that can be obtained by selling at the end of a year depend on the age of the machine (given in the Table below). Use dynamic programming to maxime the net profit earned during next six years. Revenues (S) Operating costs ($) Salvage value at end of year (S) Age of machine at beginning of year 0 year 1 year 2 years 4,500 3000 1500 500 700 1100 3000 1800 500 Formulate the following problem as a Dynamic Programming problem and solve it using a multi- stage optimization strategy. (Note: No credits will be given for solving it using any other means)new A company needs to have a working machine during neach of the next six years. Currently it has a new machine. At the beginnig nf each year, the company may keep the machine or sell it and buy a new one, but a machine cannot be kept for more than three years. A ne machine costs $5000. The revenues earned by a machine, the cost of maintaining it, and the salvage value that can be obtained by selling at the end of a year depend on the age of the machine (given in the Table below). Use dynamic programming to maxime the net profit earned during next six years. Revenues (S) Operating costs ($) Salvage value at end of year (S) Age of machine at beginning of year 0 year 1 year 2 years 4,500 3000 1500 500 700 1100 3000 1800 500

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