Duration estimation a new approach in Critical chain scheduling Essay

Duration estimation a new approach in Critical chain scheduling - Essay Example estimation of activities through estimating the level of uncertainty buried in each activity duration and after that taking out of safety periods related to this uncertainty. The validity or soundness of this proposed method, according to the authors, is measured by carrying out a computer simulation on a number of the test problems. Simulation analysis proves that the suggested technique yields schedules that are more dependable than the schedules established by first CCPM technique of duration estimation. Some of the crucial key terms discussed in this article include critical chain, theory of constraint, duration estimation and project scheduling. Critical chain, according to Rezaie, Manouchehrabadi & Shirkouhi (481) is the longest series of events through the project network following the resource contentions. Critical chain, in other words, is a group of tasks through which the project general duration is decided. The authors also discuss how time/duration estimation is a crucia l matter of the critical chain. The authors discuss how Goldratt dedicated a substantial part of this research trying to explain the cause why safety periods cannot safeguard the projects intended dates against the doubt embedded in projects. Rezaie, Manouchehrabadi & Shirkouhi (482) give numerical facts, which were not broadly discussed in Goldratt’s original work. They argue that Goldratt did not exactly specify any numerical distribution function, but assumed a right distorted distribution for every activity duration whereby there was a significant distance between 50% quantile and 90% quantile. They further talked about the propensity among individuals involved in time estimation to overrate the required time so that adequate safety period is put into the measures. The third section of the article, Investigating of Time Estimation Methods, analyzes the method proposed by the authors. The authors go deep into the explanation giving both quantitative and qualitative facts.