About dihya.atmani

Hello All the constraints have to be met for the solution to be feasible. A solution that is not feasible can not be optimal. With Optimizer we resolve the problem in its globality. Which means we don't look for a solution plant by plant, we look for a solution that optimises the objective function.  if one of the constraints are not met, you need to find a new way to write your constraint. Because, if you leave it that way, you will have infeasiblities, which means no solution    Regards Dihya Atmani ... View more

Hello for your 3rd constraint, could you try creating a variable wich is beggining of job  You will also create a properties which is ending  of dependant job for this property, you will add a formula which says that it is equal to the variable beggining of job + time to achieve the job then in your constraint module, you write beggining of job- the properties >= 0 If you want i can try to do it with you tomorrow, because i don't know if the idea i shared is very clear ... View more

Hello You could also use the optimizer The variables would be the quatity to assign to each customer (A, B and C) You could assign to each customer a property wich is the priority: such as priority 1 will get the highest weight so in this example, a will be assigned the weight of 3, B the weight of 2 and C the weight of 1 the objective function will then be maximize weight * Variable The constraint is sum of variable <= to the available quatity (100 in this example). we could write A+B+C=100 but it is safer to write <= to avoid any errors Variable <= Demand (in your example A<= 50,...) I guess your solution works too, but this one alternative for the ones who are fond of the optimizer ... View more