Originally posted by: JKRATHORE

Hi Everybody,

I am working on a task similar to house_building_calendar (house_building_calendar.py) example mentioned in IBM Decision Optimization Help. In this example, each task has to be assigned to only one worker, what if I need one or more resources for same task, I have modified the existing code with three workers and trying to add a constraint to satisfy minimum workers required for each task, I believe it should be like "count of workers appended to a task should be less than or equal to number of workers required", however I am finding difficulty to implement it. can somebody please assist me to write this sort of constraint. 

I have attached modified code here. 

Thank you

Originally posted by: Petr Vilím

Hello,

if I understand it right you have a group (or multiple groups) of equivalent workers. And each tasks require some minimum number of them (possibly only workers from a particular group). Such a group is what we call a cumulative resource, it could be used by multiple tasks at the same time provided that the total number of workers at a given moment does not exceed the capacity (size of the group).

You may have a look at RCPSP example here: https://rawgit.com/IBMDecisionOptimization/docplex-doc/master/docs/cp/visu.rcpsp.py.html

It does something very similar (there are actually multiple cumulative resources that may represent for example groups of workers with different skills).

Regards, Petr

Originally posted by: JKRATHORE

Hi Peter,

Thanks for quick response, the RCPSP problem focus on work hour allocation with capacity constraint, in my problem I am interested to assign workers to tasks, and get the result in form of which worker assigned to which task.

Best Wishes,

Jitendra