Abstract
This
 paper proposes a mixed integer non-linear programming (MINLP) for project
 scheduling and staff allocation problem with time-dependent learning effect
 considering task similarities for learning. Resources of a project, especially
 staffs, can learn from previous tasks if those tasks and the current task are
 similar. Considering similarities among tasks for each staff can produce a more
 realistic schedule for a project. The objective function of the proposed
 problem is to minimize project completion time. The learning effect in this
 paper is dependent on the time when the project staff starts to do that task.
 If a project staff does repetitive and/or similar tasks then that staff can get
 experience and do tasks faster than planned durations. Therefore, task sequence
 is essential to assign tasks to project staffs in order to minimize project
 completion time by considering task similarities in view of learning.
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