Critical Chain Project Management to cope with uncertainty
This article illustrates the theory behind the method, its application, [a comparison with the critical path method], and its limitation.XXXXXXXX
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. XXXXXXXXXXXXXXXXXXXXXXXXXXXX
Contents
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Undesired effects of traditional approaches
XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX 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[3]. 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[4].
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[4]. 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[5]. 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[4].
3. Failure to pass on early completion
Analysis of almost any project’s results reveals that people report very few activity as completed early[4]. 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[6].
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 gets more to do, and the next time he will have to replicate the same performance. In other words, reducing future estimates for the same task.
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[4]. 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
CCPM as a solution
The reason for the development of Critical Chain is the existence of chronic problems that existing methods, approaches and even expensive software have not been able to remove [7].
In project management, variation is related to the intrinsic uncertainty of task durations. The latter will vary according to two main reasons[8]:
- Common cause variation: cause inherent with the system. It is a variation in duration that predictably occur since its origin is part of the system within project are performed.
- Special cause variation: variation in parts of the task process, which makes those parts of the process unpredictable. The effects are unpredictable.
In addition, W. Edwards Deming [1989] notes: “I should estimate that in my experience most troubles and most possibilities for improvement add up to propositions something like this: 94% belong to the system, 6% special.” Meaning that the majority of the problems and the biggest room for improvement are related to common cause variation.
Traditional project scheduling, such as PERT or Monte Carlo analysis, estimates the impact of common cause variation, and accounts for it adding safety time at task level (each project task). Furthermore, they do not take into account the impact of negative resource behavior (described in section XXXXXXXXXXX). While these methods propose a way to estimate uncertainty, they do not pose an effective systematic method to manage it. CCPM accounts for common cause variation as an essential element of the project management system[4]. CPPM addresses common cause variation through the use of an aggressive schedule with shortened task duration estimates, and the use of buffer placed in strategic positions, aggregating the protection by removing safety from each tasks.
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. It is 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[9]. A system’s constraint may be physical (e.g. materials, machines, people, demand level) or managerial[10] 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”[11]. 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[12][11]:
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 to PM
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[4]. 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.
Exploit task duration estimates
As stated previously, usually task duration estimates are determined with a probability of completion around 90%. In order to minimize the negative resource behavior and to avoid wasting the contingency allocated to the single tasks, CCPM entails to remove the safety time from the task estimates and shorten them down to 50% of probability. Contingency is the difference between a 50% probable estimate and a 90% probable estimate[9]. Critical Chain method requires that the schedule be built with only the time to do the work without any safety. This is the time we expect the work to take if allowed to focus a full sustainable level of effort on it and if there are no significant problems[13]
Exploit statistical law of aggregation
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.
Subordinate Merging Paths
To protect the critical chain from potential delays by subordinating critical chain feeding paths, CCPM places an aggregate Feeding buffer on each path that feeds the critical chain[9]. In addition, the Feeding buffer acts as means to measure and control the feeding paths.
The size of the Feeding Buffer is determined in the same way of the Project Buffer. It is equal to the sum of the safety times removed from the task duration estimates of the tasks preceding the buffer. Figure X shows how the feeding buffer preserves the critical chain from potential delays in the non-critical paths. CCPM also involves the late start of all activities in the feeding paths. This is done since the Feeding Buffer provides protection to the whole project from the non-critical path. The advantages of doing so are the following: reduce the impact of changes on work already performed, delay the project cash outlay, and give the project a chance to focus by starting with fewer simultaneous activity chains[4].
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.
Elevate task performance
The failure to pass on early completion and the propensity to multitask are two factors which contribute to extend the project duration. CPPM tackles those tendencies above-mentioned by only providing exact starting dates of the activity chains and the exact end date of the Project Buffer. Approximated start times and estimated activity durations are provided too as reference values. “Relay Runner” mentality is included in which resources begin work as soon as assigned, work without interruption until done, and announce when they finish immediately when task criteria is fully met[14]. The elimination of task due dates, the encouragement of focusing on the task at hand, and the enforcement of a “Relay Runner” behavior contribute to increase the capacity of the resources. The latter is obtained by passing on early completion and avoiding multitasking.
5. If, as a result of the previous steps, the constraint has alleviated, return to Step 1
Critical Chain Method
Applications
Planning
The first step in order to apply CCPM consist of defining an initial schedule taking in consideration task duration estimates and dependencies. In other words, the initial schedule could be also defined as the “infinite capacity schedule” since the resource availability is not considered yet. This initial step has to be PERT?? Backward process project due date.XXXXXXX Thereafter, the schedule must be adjusted by positioning the tasks according to the capacity and availability of the resources. Because at least some of the resources have limited availability, the resulting schedule is likely to be longer than the schedule obtained with the basic Critical Path Method, as critical activities are delayed while waiting for the resources they require[15]. Then, the longest sequence of activities needed to complete the project taking into account both the interdependencies and resource capacity is defined as the Critical Chain. Next step involves shortening duration estimates, removing the safety margin from each critical task and pooling them together at the project buffer. The latter is place at the end of the project, and represented as a task.
'''*can be less than the sum of safety margins remove at task level.'''XXXXX
Then, the same process of grouping safety margins is applied to the non-critical paths. The safety margins of each non-critical path are grouped into a feeding buffer placed where the path merges into the critical chain path.
Execution
Once the new project schedule is created, consisting of tasks with reduced durations and different types of buffer, the project manager needs to execute the project plan. During this phase, the resource working on the critical chain activities must work continuously on a single activity at time. They are not allowed to work on tasks in parallel in order to avoid multitasking, for the reason explained aboveXXXXXXXXXXXXXXXXX. To further enforce the resource behaviors a “Relay Runner” mentality must be followed by the workforce. To enhance this mentality, the management should reward the completion of individual activities early. In case of early completion of a task, work on the successor activity must begin rapidly. In the opposite scenario, there is no reason for immediate concern, as the buffer will absorb the delay [15].
Control
In CCPM, managing and tracking of project performance is based on buffer consumption: as the project progresses, the manager constantly check how much of the buffer is consumed to protect both the critical chain(Feeding Buffer) and the project due date(Project Buffer) from disruption. Buffers are supposed to act as transducers that provide vital operational measurement and a proactive warning mechanism. If activity variation consumes a buffer by a certain amount, a warning is raised[16]. Then, if the consumption rate is quite high so that the whole buffer could be consumed before the end of the project, corrective actions must be taken.
In order to have facilitate the monitoring and evaluation of the buffer consumption, buffers are usually divided in three third, respectively represented as Green zone, Yellow zone, Red zone. The level of buffer consumption gives management visible signals:
- Green zone: no action
- Yellow zone: assess the problem and prepare for action
- Red zone: corrective action must be implemented
Through this mechanism, buffer management provides a unique anticipatory project-management tool with clear decision criteria[9].
However, the buffer consumption has to be combined with the project completion to reflect a clear and accurate project status. The tricolored chart used to visualize the project status, where the buffer consumption is plotted against the project completion(both expressed as a percentage), is called Fever Chart.
Benefits
Although CCPM is relatively new concept, it has proved to achieve successful results in terms of expected benefits. All projects that have properly applied the methodology have completed the project under the original time estimate, fulfilled the original scope, and came in near or under the estimated budget. Project durations normally reduce by at least 50% in the first pass, and several companies have taken the early successes to cause further substantial reductions in project duration [4].
The following companies have implemented the CCPM with positive results: Israeli Aircraft Industry, US Air Force, Johnson & Johnson, Procter & Gamble, Ely Lilly Boeing, ITT, BAE System, and Harris[4][17][1]. However, the result obtained are not only attributable to the CCPM but also to the quality of the actor involved, and to the weak starting situation of company.
The following are some of the advantages or differences from traditional scheduling methods which mainly caracterize CCPM. Those include: accounting the uncertainty in duration by explicating the buffer and sharing its size with all the people involved in a project(workers, management, stakeholders), considering the resource availability and scheduling consequently, providing a clear overview of the project status and visibility of threats while allowing for intervention.
Limitations
Despite all of these project benefits, Critical Chain is still not widely adopted in industry[17]. A reason can be that CCPM has been criticized about the newness of its principles as well as the certainty of them. It has been argued that experienced project managers have known the principles behind CCPM for decades, and CCPM’s uniqueness is in the terminology rather than in its substance[15].
Firstly, one of the main critique regards the CCPM indication of reducing the task duration estimates by a specific percentage, “which seems arbitrary”[18]. The method, by suggesting this fixed reduction, assumes that all resources overestimate task duration by the same amount. The latter it is not true since the amount overestimated depends on the individual and it is based on personality, job experience, nature of the task, workload, or other reasons[15]. Furthermore, resources who know that their estimates will be reduced could be motivated to increase or double the estimates. By doing so, they still have their safety margins even after the reduction.
Secondly, while an advantage of CCPM is creating a schedule that considers resource availability, actually the mathematical problem of creating a precedence and resource dependent schedule is a well known NP-hard problem[19]. It means that there are no efficient algorithms for finding optimal schedule for large project. Consequently, heuristic rules, which generate solution that are hoped to be close to optimum, are used[15].
Thirdly, CCPM involves the elimination of multitasking as a way to improve performance. However, a study of 64 high technology firms conducted by McCollum and Sherman (1991)[20] found that there is a relationship between the number of projects assigned to R&D personnel and key performance of the company. They found that assignment of two projects is the optimal number, and until three projects no problems occurred. This study alone cannot confirm that the optimal number, in regards to performance, of project assigned to one individual is two, since it was just conducted in R&D environment. Further studies are necessary.
Finally, another criticism is about the adoption of CCPM. A company that want to adopt the CCPM has to provide training to various levels of the organization. In order to be efficient, CCPM requires training to change organizational culture about: giving up ownership of the task duration and relying on the schedule buffer to absorb deviation, replacing the concept of due date with estimated completion date range(represented by Feeding and Project Buffers), and avoiding multitasking[15].
References
- ↑ 1.0 1.1 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
- ↑ Steyn H., (2000), "An investigation into the fundamentals of critical chain project scheduling", International Journal of Project Management 19, pp. 363-369
- ↑ 4.0 4.1 4.2 4.3 4.4 4.5 4.6 4.7 4.8 4.9 Larry P. Leach, (1997), Critical Chain Project Management Improves Project Performance, Advanced Projects Institute
- ↑ 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
- ↑ Cite error: Invalid
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- ↑ Deming, W. Edwards, (1989) ‘’Out of the Crisis’’, MIT Press
- ↑ 9.0 9.1 9.2 9.3 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
- ↑ 11.0 11.1 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
- ↑ Patrick S.F., (1999), ‘’Critical chain scheduling and buffer management - getting out from between Parkinson’s rock and Murphy’s hard place’’, PM Network 13, pp. 57-62
- ↑ Kirpes C., (.2014), ‘’Evaluating the Use of Scheduling Techniques: Critical Chain Project Management’’, Proceedings of the 2014 Industrial and Systems Engineering Research Conference Y. Guan and H. Liao, eds.
- ↑ 15.0 15.1 15.2 15.3 15.4 15.5 Raz T., Barnes R., Dvir D., (2003), A critical look at critical chain project management, Project Management Journal, vol. 34
- ↑ Herroelen W., Leus R., (2001), ‘’On the mertis and pitfalls of critical chain scheduling’’, Journal of Operations Management, vol. 19, pp. 559-577
- ↑ 17.0 17.1 Kirpes C, Evaluating the Use of Scheduling Techniques: Critical Chain Project Management’’, Proceedings of the 2014 Industrial and Systems Engineering Research Conference
- ↑ S.C. Cook, (1998) ‘’Applying critical chain to improve the management of uncertainty in project’’, MS thesis, Massachusetts Institute of Technology, USA
- ↑ Wuliang P, Minli J., (2009), ‘’ A Revised Critical Chain Method and Optimization Model, Applied Mechanics and Materials vols. 16-19, pp. 426-430
- ↑ McCollum, J.K., & Sherman, J.D., (1991), ‘’The effects of matrix organization size and number of project assignments on performance’’, IEEE Transactions on Engineering Management vol.38, pp.75-78