关于dihya.atmani

Hello can you drill down and check if it’s a rounding problem! If it’s the case then no worries, no incidence on the optimizer if its not a rounding problem, then you should check the dimensions of your constraints regards dihya 。。。View more

您好，您需要启用工作空间上的优化器才能这样做，您需要联系Anaplan支持。如果是在客户的工作区中 。。。View more

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

您好，您还可以使用优化器。变量将是分配给每个客户的问题（a，b和c），您可以分配给每个客户一个属性是优先事项：例如优先级1将获得最高的权重，因此在此中将获得最高的权重示例，A将分配3，B的重量为2和C的权重1的权重1然后将最大化权重 *变量 *变量为变量<= to the -quatity的约束总和（在本示例中为100）。我们可以编写A+B+C = 100，但是写入<=避免任何错误变量<= demand（在您的示例a <= 50，...）我也猜您的解决方案也有效，但是这是一个替代方案对于喜欢优化器的人 。。。View more