A factory makes seven products (PROD 1 - PROD 7) on the following machines: three grinders, two vertical drills, three horizontal drills, one borer and one planer. Each product yields a certain contribution to profit (defined as €/unit selling price minus cost of raw materials). These profit contributions (in €/unit) together with the unit production times (hours) required on each process are given below. (A dash indicates a product does not require a process).

(i cant do a table)

but each column is PROD 1 - PROD 7 i.e 7 columns

10 6 8 4 11 9 3 (contribution to profit)

0.5 0.7 - - 0.3 0.2 0.5 (grinding)

0.1 0.2 - 0.3 - 0.6 - (vertical drilling)

0.2 - 0.8 - - - 0.6 (horizontal drilling)

0.05 0.03 - 0.07 0.1 - 0.08 (boring)

- - 0.01 - 0.05 - 0.05 (planing)

There are upper limits to the amount of each product the market can absorb each month, and in January these limits are as follows:

columns are PROD 1 - PROD 7

500 1000 300 300 800 200 100 (January)

The factory works a 6 day week with two shifts of 8 hours each day. (Assume the month of January consists of 24 working days.) No sequencing problems need to be considered. Formulate a linear programming problem for determining how much of each product should be made in the month of January, so as to maximize profit in that month.

I am not looking for this to be solved, I just want to know how do I go about putting these figures into a linear programming problem with constraints.