PROJECT SCHEDULING AND STAFF ALLOCATION PROBLEM WITH TIME-DEPENDENT LEARNING EFFECT: A MIXED INTEGER NON-LINEAR PROGRAMMING APPROACH

Year 2019, Volume: 20 Issue: 3, 204 - 215, 26.09.2019

Oğuzhan Ahmet Arık

https://doi.org/10.18038/estubtda.624291

Cited By: 1

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.

Keywords

Time-dependent learning effect, Project scheduling, Mixed integer non-linear programming, Staff allocation

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