Copyright | (c) Levent Erkok |
---|---|

License | BSD3 |

Maintainer | erkokl@gmail.com |

Stability | experimental |

Safe Haskell | None |

Language | Haskell2010 |

Solves a simple linear optimization problem

## Synopsis

- production :: Goal

# Documentation

production :: Goal Source #

Taken from http://people.brunel.ac.uk/~mastjjb/jeb/or/morelp.html

A company makes two products (X and Y) using two machines (A and B).

- Each unit of X that is produced requires 50 minutes processing time on machine A and 30 minutes processing time on machine B.
- Each unit of Y that is produced requires 24 minutes processing time on machine A and 33 minutes processing time on machine B.
- At the start of the current week there are 30 units of X and 90 units of Y in stock. Available processing time on machine A is forecast to be 40 hours and on machine B is forecast to be 35 hours.
- The demand for X in the current week is forecast to be 75 units and for Y is forecast to be 95 units.
- Company policy is to maximise the combined sum of the units of X and the units of Y in stock at the end of the week.

How much of each product should we make in the current week?

We have:

`>>>`

Optimal model: X = 45 :: Integer Y = 6 :: Integer stock = 1 :: Integer`optimize Lexicographic production`

That is, we should produce 45 X's and 6 Y's, with the final maximum stock of just 1 expected!