| Summary: | During the recent years, extensive research has been done on the field of
project scheduling. There is always uncertainty in the area of project
scheduling that causes a deviation in the real plan from the scheduled plan.
One of the solutions to deal with this uncertainty is using the critical chain
method (CCM) in project scheduling. This method which is derived from the
theory of constraints (TOC) is a new method in project control which was first
proposed by Goldartt in 1997.In this research we attempt to use the principals
of critical chain in resource-constrained project scheduling problem. The main
innovation in this research is presentation of critical chain project scheduling
problem model with consideration of feeding buffer and using float as a
supplement for feeding buffer. For this matter, the project scheduling under
resources constraints with critical chain approach was first written and its
reliability was evaluated using the Lingo software. In the next step the
solution algorithm of this model was developed using the genetic algorithm
and finally different sample issues were investigated. The results of this
research show the efficiency of the presented genetic algorithm
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