Determination of critical chain project buffer based on information flow interactions

Zhang, Junguang; Song, Xiwei; Chen, Hongyu; Shi, Ruixia

doi:10.1057/jors.2016.9

Cited by 17 publications

(15 citation statements)

References 28 publications

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“…e RSEM calculates the square root of the total squares of the difference between the safety estimate time and the average estimate time for each activity on the critical chain as the PB and that on the noncritical chain as the FB. Zhang et al argued that the RSEM outperformed the CAP method for large projects because the former was less affected by critical chain length [8]. Furthermore, considering that various project characteristics and attributes could influence buffer sizes, several modified buffer-sizing methods have been proposed.…”

Section: Literature Reviewmentioning

confidence: 99%

“…Although great advances have been made on buffersizing methods, they all assume that project activities are independent and neglect the codependency of activities, as well as the effect of rework risks arising from information flow interactions on project duration. ese factors resulted in smaller estimated project durations than necessary [8]. As previously mentioned, Zhang et al proposed a refined DSMbased CCPM method, which took the codependency of activities and rework risks into account when determining buffer sizes [8], but this method still has several limitations on modeling rework and determining rework safety times, which deserves further research.…”

Section: Literature Reviewmentioning

confidence: 99%

“…[6]. However, the most widely held view is that information flow interactions between activities should be responsible for rework [7,8]. To reveal and model rework relationships among activities and other factors, several approaches have been developed such as cognitive mapping (CM) [9,10] and system dynamics (SD) [11,12].…”

Section: Introductionmentioning

confidence: 99%

“…e critical chain project management (CCPM) method, first proposed by Rand and Goldratt [21], which applies the theory of constraints to project management, is another emerging and potential tool to manage information uncertainty by setting resource and time buffers in project schedules. Based on prior studies, Zhang et al first combined CCPM with DSM to model rework relationships between activities and to address rework risks by setting time buffers that consider rework safety times [8]. However, this method calculates the rework safety time between an activity and its each predecessor, respectively.…”

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

A DSM‐Based CCPM‐MPL Representation Method for Project Scheduling under Rework Scenarios

Guo

Hao

et al. 2021

Advances in Civil Engineering

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Rework risks caused by information flow interactions have become a major challenge in project scheduling. To deal with this challenge, we propose a model integrating the critical chain project management method, design structure matrix method, and max-plus method. Our model uses a start-to-start relationship of activities instead of the traditional finish-to-start relationship, which also allows overlaps between activities. We improve the accuracy of the rework safety time in two ways: (1) the overall overlapping effect is taken into consideration when calculating the rework time of an activity arising from the information flow interaction of its multiple predecessors overlapped with it; (2) the rework time arising from activity overlaps, the first rework time, and the second rework time are calculated as components of the rework safety time in our model, while the last one is ignored in traditional methods. Furthermore, the accuracy of time buffers is improved based on the improved rework safety time. Finally, we design the max-plus method to generate project schedules and appropriately sized time buffers. The empirical results show that the project schedule generated by the proposed method has a higher on-time completion probability, as well as more appropriately sized project buffers.

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Section: Literature Reviewmentioning

confidence: 99%

Section: Literature Reviewmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

A DSM‐Based CCPM‐MPL Representation Method for Project Scheduling under Rework Scenarios

Guo

Hao

et al. 2021

Advances in Civil Engineering

View full text Add to dashboard Cite

show abstract

“…The activity dependency criteria were originally introduced by Leach [18] in the context of the CC/PM. Zhang et al [19] proved that the codependency among project activity durations produced by the complexity has signi cant impact on bu er sizes. On this basis, the concepts of the rework safety time and rework probability matrix were introduced to be utilized in the bu er sizing procedure.…”

Section: Literature Reviewmentioning

confidence: 99%

An Algorithmic Framework for Improving the Performance of the Critical Chain Buffer Sizing Method

2017

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Abstract. Delays and disruptions are extremely challenging issues to deal with in project management. In this article, a novel optimization approach to the bu er sizing method is introduced aimed at maximizing the robustness of the bu ered schedule generated. The measures a ecting the bu er sizing include network complexity, exibility, criticality, and robustness. The methodology presented is based on the critical chain project management concept, yet novel metrics are introduced to cover the uncertainties connected with the critical and non-critical chains. The overall purpose of the approach is to investigate the necessity and design of a decision support system to improve the process of critical chain project management. Utilizing a robust and exible framework, this study tries to e ciently determine the size of feeding and project bu ers. The weaknesses of the current critical chain project management approaches were overcome in the critical chain project management, and a new method was developed based on the integration of simulation and optimization techniques. In order to verify the e ciency of the method proposed, a case study is conducted. The outcomes indicate that the robust bu er allocation method proposed yields more stable project schedules, as against the traditional bu er sizing methods.

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Determination of early warning time window for bottleneck resource buffer

Zhang

Wan

2021

Ann Oper Res

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Determination of critical chain project buffer based on information flow interactions

Cited by 17 publications

References 28 publications

A DSM‐Based CCPM‐MPL Representation Method for Project Scheduling under Rework Scenarios

A DSM‐Based CCPM‐MPL Representation Method for Project Scheduling under Rework Scenarios

An Algorithmic Framework for Improving the Performance of the Critical Chain Buffer Sizing Method

Determination of early warning time window for bottleneck resource buffer

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