A comparison of the performance of various project control methods using earned value management systems

Colin, Jeroen; Vanhoucke, Mario

doi:10.1016/j.eswa.2014.12.007

Cited by 54 publications

(39 citation statements)

References 41 publications

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“…However, the continuous update of the longest path for a project in progress requires the detailed knowledge of activity durations and hence information at the lowest level of the WBS, and therefore, this LP method can no longer be classified as purely top-down. This has been mentioned and investigated in a recent study by [15]. These authors describe and test different control methodologies at different levels of the WBS.…”

Section: Top-downmentioning

confidence: 91%

On the use of multivariate regression methods for longest path calculations from earned value management observations

Vanhoucke

Colin

2016

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Section: Top-downmentioning

confidence: 91%

On the use of multivariate regression methods for longest path calculations from earned value management observations

Vanhoucke

Colin

2016

Omega

Self Cite

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“…As mentioned before in literature, authors in [3] and [12] applied buffer management concept in EVM method to produce a new tolerance limits for SPI (t) and SV (t) metrics. In this section, we applied EVM concepts to construct an improved buffer monitoring system.…”

Section: Integration Of Buffer Monitoring System and Earned Value Manmentioning

confidence: 99%

“…in [8] author incorporated the activity sensitivity measure into the buffer monitoring process, enabling the management team to estimate the risk of project delays on the whole and to identify high-risk activities in particular when taking expediting actions. In [3] the application of buffer concept from critical chain management in earned value management/ earned schedule (EVM/ES) is illustrated and linearly tolerance limits were proposed for the EVM/ES schedule performance metrics SPI (t) and SV (t). In the other research, authors set tolerance limits for EVM/ES schedule performance metrics EVM/ES by allocating project buffer over the different project phases and new metrics have been developed [12].…”

Section: Literature Reviewmentioning

confidence: 99%

A New Buffer Monitoring Approach Based on Earned Value Management Concepts

2018

Oct. 17-19, 2017 Dubai (UAE)

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“…• EVM/ES on multiple control points: The use of EVM/ES control metrics applied at different (and multiple) control points in the project schedule has recently been discussed by Colin and Vanhoucke [57]. Inspired by the concepts of the critical chain/buffer management (CC/BM) methodology, different control points throughout the project are suggested at which EVM/ES control charts should be monitored.…”

Section: Comparing Statistical Project Control To Traditional Evm/esmentioning

confidence: 99%

Setting tolerance limits for statistical project control using earned value management

Colin

Vanhoucke

2014

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Project control has been a research topic since decades that attracts both academics and practitioners. Project control systems indicate the direction of change in preliminary planning variables compared with actual performance. In case their current project performance deviates from the planned performance, a warning is indicated by the system in order to take corrective actions.Earned value management/earned schedule (EVM/ES) systems have played a central role in project control, and provide straightforward key performance metrics that measure the deviations between planned and actual performance in terms of time and cost. In this paper, a new statistical project control procedure sets tolerance limits to improve the discriminative power between progress situations that are either statistically likely or less likely to occur under the project baseline schedule. In this research, the tolerance limits are derived from subjective estimates for the activity durations of the project. Using the existing and commonly known EVM/ES metrics, the resulting project control charts will have an improved ability to trigger actions when variation in a project's progress exceeds certain predefined thresholds A computational experiment has been set up to test the ability of these statistical project control charts to discriminate between variation that is either acceptable or unacceptable in the duration of the individual activities. The computational experiments compare the use of statistical tolerance limits with traditional earned value management thresholds and validate their power to report warning signals when projects tend to deviate significantly from the baseline schedule.

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A comparison of the performance of various project control methods using earned value management systems

Cited by 54 publications

References 41 publications

On the use of multivariate regression methods for longest path calculations from earned value management observations

On the use of multivariate regression methods for longest path calculations from earned value management observations

A New Buffer Monitoring Approach Based on Earned Value Management Concepts

Setting tolerance limits for statistical project control using earned value management

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