I know it's hard to believe that his job as a management scientist doesn't comfortably keep him in Ferraris and caviar, but the insurance premiums on his ride are outrageous, and frankly it doesn't get good gas mileage in the city

Hence, the management scientist/landlord runs his model and receives this output. Provide an interpretation of exactly what will happen in the coming weeks.

Cell Name Original Value Final Value Integer
$G$4 wood floors contractor 1 0 Binary
$H$4 wood floors landlord 1 1 Binary
$G$5 kitchen tile contractor 1 1 Binary
$H$5 kitchen tile landlord 1 0 Binary
$G$6 back door contractor 1 0 Binary
$H$6 back door landlord 1 0 Binary
$G$7 garage door opener contractor 1 0 Binary
$H$7 garage door opener landlord 1 0 Binary

Answer: It appears that the landlord/management scientist will tackle the wood floors himself and have a contractor install kitchen tile. This will take 3.5 weeks, leaving one half week free, and will cost $2900 out of the maximum $3,000 budget, leaving $100 — enough for beer and pizza, or at least pizza. It is somewhat ambiguous whether the landlord has four weeks to work with and the contractors have four weeks or whether the entire model's time constraint should have only four weeks - if we knew whether there were wood floors in the kitchen and two work groups would get in each other's way, then we could set up constraints to capture this situation.