A new buffer sizing approach based on the uncertainty of project activities

Zhang, Junguang; Jia, Saike; Díaz, Estrella

doi:10.1177/1063293x14561871

Cited by 14 publications

(15 citation statements)

References 23 publications

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“…With regard to project risks, depending on their severity, Lechler, Edington, and Gao (2012) argue that time and money reserves can be employed to mitigate their effects and protect the work activities, which can thus be completed within the planned baselines. Zhang, Jia, and Diaz (2015) point out that this is an important strategy because generally the project plan is full of uncertainties arising from the unpredictability of external elements and changes requested by clients.…”

Section: Literature Reviewmentioning

confidence: 99%

Critical Success Factors for Project Manufacturing Environments

Pacagnella

Silva

Pacífico

et al. 2019

Project Management Journal

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The goal of this article is to identify and understand the relationship between the critical success factors (CSFs) of project manufacturing environments and project performance. This article explores those relationships through the logistic regression method, using a sample of 182 respondents and quantifying the influence of CSFs on success achievement in four dimensions (efficiency, impact on consumers, impact on the team, and preparation for the future). The results show that not all CSFs are significant in explaining project success. Thus, project managers must evaluate the influence of each one and consider it in their decisions.

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Section: Literature Reviewmentioning

confidence: 99%

Critical Success Factors for Project Manufacturing Environments

Pacagnella

Silva

Pacífico

et al. 2019

Project Management Journal

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“…To model the random activity durations we use a right-skewed lognormal distribution with mean equal to the baseline duration and a coefficient of variation, cv, to represent the uncertainty level. A lognormal distribution has also been employed in a number of research articles on CC/BM (Tukel et al 2006;Bie et al 2012;Zhang et al 2015c). We would like to note that illustrating how to capture the duration uncertainty is beyond the scope of the present work.…”

Section: Experimental Layoutmentioning

confidence: 97%

Improved critical chain buffer management framework considering resource costs and schedule stability

Demeulemeester

Cui

et al. 2016

Flex Serv Manuf J

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The critical chain scheduling and buffer management (CC/BM) methodology has proven to be a favorable approach to schedule resource-constrained projects and to offer a valuable control tool for monitoring projects under uncertainty. The previous studies on CC/BM seem to have neglected the cost performance, which might render its wider applications to the modern economic activities that are mostly performed in a project way. This paper presents an improved CC/BM framework that allows additional resource allocation/reallocation to bring forward activity starting times based on cost and schedule stability criteria. In the planning phase, the decision is made concerning the regular resource availability period in order to minimize the expected resource costs. In the execution phase, a scheduled order repair method for rescheduling along with two reactive resource allocation procedures as the corrective action whenever delays are beyond a certain buffer threshold are presented and examined in order to exhibit a comprehensive project schedule/cost control system that is adaptive to the CC/BM management logic. Finally, our computational experiment demonstrates the benefits of the proposed reactive methods under different cost or availability parameters.

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“…From 2011 until the date of this present research, CCPM applications have expanded in multi-project environments. New mathematical methods have been created for the joint programming of several projects, merging the knowledge of CCPM with other approaches, such as multi-objective optimization methods (Wang et al , 2014), algorithms based on multi-agent systems (Zheng et al , 2014), evidential reasoning approach (Yang and Fu, 2014) and fuzzy theory (Roghanian et al , 2018; Zhang et al , 2015).…”

Section: Co-citation and Keyword Co-occurrence Network Analysismentioning

confidence: 99%

Linking the Critical Chain Project Management literature

Mariano

Souza

Luiz

et al. 2019

IJMPB

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Purpose The purpose of this paper is to analyze the state of the art in Critical Chain Project Management (CCPM), outlining the CCPM literature to date, in an effort to guide future studies. Design/methodology/approach The paper is based on a bibliometric analysis using Scopus and Web of Science databases. The authors identified the principal journals, articles and authors regarding the research theme, as well as the authors elaborated co-citation and co-occurrence network maps to support the analysis. Findings The authors described five co-citation clusters: Fundamentals of Critical Chain, Scheduling, Operations Research, Multi-project and Network, and General Project Management. The most frequently occurring keywords were: “project management,” “critical chain,” “scheduling” and “theory of constraints.” Observing the distribution, the expression “project management” occupied a central position, connecting two other clusters, represented by the keywords “scheduling” and “critical chain.” The authors proposed an evolutive framework for the CCPM state of the art in three stages, according to the most frequent topics identified: Conceptual, Deepening of Applications and Methodological Maturity. Originality/value This research adopts a systematic approach based on bibliometric tools, which allows a more rigorous organization of the literature. Co-citation and keyword co-occurrence maps provide evidence of how the main themes in CCPM relate. Besides, the presented historical framework allows new research in CCPM to be directed to the most recent topics of interest that have gaps to be explored.

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A new buffer sizing approach based on the uncertainty of project activities

Cited by 14 publications

References 23 publications

Critical Success Factors for Project Manufacturing Environments

Critical Success Factors for Project Manufacturing Environments

Improved critical chain buffer management framework considering resource costs and schedule stability

Linking the Critical Chain Project Management literature

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