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PERT network chart for a seven-month project with five milestones (10 through 50) and six activities (A through F).. The program evaluation and review technique (PERT) is a statistical tool used in project management, which was designed to analyze and represent the tasks involved in completing a given project.
The critical path method (CPM), or critical path analysis (CPA), is an algorithm for scheduling a set of project activities. [1] A critical path is determined by identifying the longest stretch of dependent activities and measuring the time [ 2 ] required to complete them from start to finish.
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Nevertheless, Gantt charts are often preferred over network diagrams because Gantt charts are easily interpreted without training, whereas critical path diagrams require training to interpret. [9] Gantt chart software typically provides mechanisms to link task dependencies, although this data may or may not be visually represented. [ 4 ]
It's much less popular than PERT (Program Evaluation and Review Technique) or CPM (Critical Path Method) however, it allows some of those methods limitations to be addressed. The main limitations of PERT or CPM that might be addressed by GERT are: there are no alternative paths - all activities have to be performed
The CPM method evaluates the sequence of activities, the work effort required, the inter-dependencies, and the resulting float time per line sequence to determine the required project duration. Thus, by definition, the critical path is the pathway of tasks on the network diagram that has no extra time available (or very little extra time)." [25]
The application of CCPM has been credited with achieving projects 10% to 50% faster and/or cheaper than the traditional methods (i.e., CPM, PERT, Gantt, etc.) developed from 1910 to 1950s. [2] According to studies of traditional project management methods by Standish Group and others as of 1998, only 44% of projects typically finish on time.
The three-point estimation technique is used in management and information systems applications for the construction of an approximate probability distribution representing the outcome of future events, based on very limited information.