Abstract

In project management, the main purpose of proposed methods is project scheduling which helps to management
and planning. We can calculate a real average of project closure in dynamic PERT networks by identifying a
lower limit. According to randomness, each distribution parameter varies itself and also it is proposed that
activity durations are exponential distributions which have casual, unstable and independent variables. We used
hypothetic kinetic programming, that project closure time would have a lower limit. Finally, delivery time would
obtain optimal due date by minimizing the expected aggregate cost per project and also a linear function of its
due-date.

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