Critical Chain Method

5 minutes 5 Questions

The Critical Chain Method (CCM) is a schedule network analysis technique that modifies the project schedule to account for limited resources. Developed from the Theory of Constraints, CCM focuses on the resources required to execute project tasks and addresses uncertainties in the schedule by integrating buffers to protect the critical chain from schedule variance. CCM differs from traditional critical path methods by considering resource availability when determining the project schedule. It identifies the critical chain, which is the longest sequence of activities that considers both task dependencies and resource constraints. By recognizing that resources are often shared among tasks, CCM aims to minimize multitasking and improve focus on critical tasks. One of the key features of CCM is the use of buffers: project buffers, feeding buffers, and resource buffers. The project buffer is added at the end of the project to protect the overall schedule from delays in the critical chain. Feeding buffers are placed at points where non-critical paths feed into the critical chain, protecting it from delays in those paths. Resource buffers act as alerts for critical resources to ensure they are available when needed. By strategically placing these buffers, CCM helps to manage schedule uncertainties without extending the project duration. It shifts safety margins from individual tasks to aggregated buffers, which can be more effectively managed. This approach encourages team members to work on tasks as scheduled, reducing the tendency to add excessive safety time at the task level. Implementing CCM requires a cultural shift in the organization, emphasizing the importance of focusing on the critical chain tasks and diligent management of buffers. It promotes more realistic scheduling by acknowledging that resources are finite and that uncertainties can be managed through strategic planning. In the context of schedule compression, CCM can help reduce project duration by optimizing resource utilization and minimizing the impact of uncertainties. By ensuring that critical resources are available when needed and by effectively managing buffers, projects can be completed more quickly without sacrificing quality or increasing costs excessively.

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