Critical Chain Project Management to cope with uncertainty
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Analysis of almost any project’s results reveals that people report very few activity as completed early<ref name="CCPMPer"></ref>. Since the estimates are usually around 80-90% of probability of completion, the results should shown an higher number of activities completed early. | Analysis of almost any project’s results reveals that people report very few activity as completed early<ref name="CCPMPer"></ref>. Since the estimates are usually around 80-90% of probability of completion, the results should shown an higher number of activities completed early. | ||
Revision as of 16:34, 24 September 2015
This article illustrates the theory behind the method, its application, [a comparison with the critical path method], and its limitation.
Critical Chain Project Management(CCPM) is a method to plan, execute, manage, and control both single and multi projects, which emphasizes the effects of resource allocation and activity duration uncertainty. It has demonstrated over the past 10 years its ability to significantly reduce the duration of projects, to ensure that projects are completed on time, and to increase resource productivity.[1]. CCPM is an outgrowth of the Theory of Constraints(TOC) and was introduced in 1997 in Eliyahu M. Goldratt’s book, “Critical Chain”[2] in response to many projects resulted in larger duration, increased cost, and less derivable than expected.
The Critical Chain method mainly differs from the traditional methodology, deriving from Critical Path, in how uncertainty is handled.
Contents |
Theory of Constraints
Since CCPM applies TOC’s concepts to project management, it is useful to understand the reasoning behind the theory.
TOC is a systems-management philosophy, originally applied to production system, based on the principle that any system must have a constraint that limits its output. If there were no constraints, system output would either rise indefinitely or would fall to zero.
Therefore, a constraint( or bottleneck) limits any system with a nonzero output[3].
A system’s constraint may be physical (e.g. materials, machines, people, demand level) or managerial[4] which hinders the system to achieve better performance.
At first, “before we can deal with the improvement of any section of a system, we must first define the system’s global goal; and the measurements that will enable us to judge the impact of any subsystem and any local decision, on this global goal”[5]. Then in order to improve the system’s performance, the limiting constraint must be found and improvement efforts should be placed on elevating the capacity of that constraint.
Goldratt defined the “five focusing steps” as an continuous improvement process[6][5]:
1. Identify the system's constraint(s)
2. Decide how to exploit the system's constraint(s)
3. Subordinate everything else to the above decision
4. Elevate the system's constraint(s)
5. If, in the previous steps, the constraint has been broken, go back to step 1, and do not allow inertia to cause a system's constraint
The five steps process permits to identify the most detrimental constraint. When the latter is solved, the next constraint needs to be identified and addressed. Therefore, it is a continuous improvement process.
TOC applied to Project Management
Concepts and principles of CCPM are obtained by applying the TOC improvement process to Project Management.
In order to apply the five steps, it is necessary at first to define the goal of a project. The primary goal of a project is considered to be the promised project due date.
1. Identify project’s constraint
According to the TOC, the part of the system that constrains the objective is the Critical Chain, which is defined as “the longest chain of
precedence and resource dependent tasks that determines the overall duration of a project”. Defining the constraint of a project in
terms of the schedule derives from the impact that schedule has on project cost and project scope. The three conditions are dependent[7].
Since the Critical Path does not account resource allocation while determining a schedule, if resources would be infinite then Critical Path and Critical Chain would be identical.
2. Decide how to exploit the project’s constraints This step can be translated in focusing on the activities of the Critical Chain to ensure efficient performance and no delays. In order to achieve this, the critical factors leading to delays should be identified.
3. Subordinate everything else to the above decision Applied to project, it means that all the non-critical activities must not affect or delay any activity on the critical tasks.
4. Elevate the project’s constraints When no more improvement can be obtained, this step suggests to invest in additional resources, or increase the capacity of resources that can benefit most the critical chain performance.
5. If, as a result of the previous steps, the constraint has alleviated, return to Step 1
Undesired effects of traditional approaches
1. Excessive Activity Duration Estimates
People, when are requested to estimate an activity duration, attempt to make commitments that they could meet with a high level of certainty[8]. In addition, managers selectively remember the
instances where activity duration estimates were exceeded, and therefore wants to add contingency of his own. The combination of both actions lead to a final duration estimation with a probability of completion of 80% to 95% on or less than the activity duration estimate[7].
2. Performance overrun estimates
Even tough, as previously stated, the estimates are quite padded, performance exceeds estimates.
Many people have a tendency to wait until activities get really urgent before they work on them[7]. This tendency is better known as Student Syndrome: a person will only start to apply themselves to an assignment at the last possible moment before its deadline[9]. By acting in this way, people tend to waste their contingency before they start the activity, forcing them to perform most of the work in the later portion of the scheduled activity time. Then, if problems occur, there is no time to recover[7].
3. Failure to pass on early completion
Analysis of almost any project’s results reveals that people report very few activity as completed early[7]. Since the estimates are usually around 80-90% of probability of completion, the results should shown an higher number of activities completed early. On the one hand, the reason behind those result is the relationship between the level of performance and the established goal. If applied to Project Management environment, it leads to the Parkinson’s Law. The latter described by Parkinson(1957) as “work expands so as to fill the time available for its completion”. A loose deadline(i.e. lowering the goal), leads, thus, to a decline of the worker’s performance and to a delay of the activity[10].
On the other hand, even if activities completed early, people fail to report. People have little or no reward on early completion. In addition, if the activity is completed early, the worker get more to do, and the next time he will have to replicate the same performance. In other words, reducing the estimates.
4. Activity path merging creates delay
Usually projects have multiple activity paths which must merge into the critical path before the completion of the project. Merging activity paths means that all of the feeding paths(activity path that merges or feeds the critical one) are required to start the successor activity.
Therefore, the successor activity can not start until the latest of the merging activities completes[7]. In a scenario as the one represented by figure 4, even if a feeding path is completed in advance, the positive variation is wasted.
5. Multitasking: increase the completion time
An additional reason which contributes to make tasks longer is multitasking. When an individual is working on more than one activity/project simultaneously, for instance three, each task completion time would result in a three time longer duration. This occurs since the individual spends one third of its time in each activity, causing an extension in the project duration as the successor activity has now to wait three times the original duration of the single task . Figure 5 helps to better understand
Critical Chain Method
Applications
Procedure
Limitation
References
- ↑ Marris P., (2011), La chaîne critique pour réduire le time to market et accroître la productivité, STP PHARMA PRATIQUES vol.21 N°5
- ↑ http://www.goldratt.co.uk/resources/critical_chain
- ↑ Lawrence P. Leach, 2005, Critical chain Project Management, 2ed, Artech House, ISBN 1-58053-903-3
- ↑ Rahman S., (1998), Theory of Constraints: A review of the philosophy and its applications, International Journal of Operations and Production Management. 18(4), pp. 336-355
- ↑ 5.0 5.1 Goldratt, Eliyahu M., (1990), Theory of Constraints, Croton-on-Hudson, NY: North River Press
- ↑ Graham K. Rand, (2000), Critical chain: the theory of constraints applied to project management, International Journal of Project Management 18, pp. 173±177
- ↑ 7.0 7.1 7.2 7.3 7.4 7.5 Larry P. Leach, (1997), Critical Chain Project Management Improves Project Performance, Advanced Projects Institute
- ↑ Steyn H., (2000), "An investigation into the fundamentals of critical chain project scheduling", International Journal of Project Management 19, pp. 363-369
- ↑ https://en.wikipedia.org/wiki/Student_syndrome
- ↑ Gutierrez G. J., Kouvelis P.,(1991), “Parkinson’s law and its implication for Project Management”, Management Science Vol. 37, No. 8
