Rethinking Schedule Quality Risk Assessment

Critical Path Method schedule reliability is dependent on exhibition of specific qualities. Failure to exhibit these qualities (i.e., schedule defects) increases project risk exposure. Although current schedule quality assessment methods provide diagnostic remediation insights, they do not provide a meaningful singular assessment value that characterizes the nature and magnitude of schedule quality risk nor do they enable parity when comparing schedule quality across multiple schedules of disparate size (e.g., number of tasks) or complexity (e.g., number of concurrent paths, degree of merge bias). This study employed a design science research approach to address current schedule quality assessment practice dilemmas through proposition of a new methodological artifact for evaluating schedule quality risk.

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Publication Details

Journal
Beyond the Project Horizon Journal of the Center for Project Management Innovation
Published
2025-11-13
DOI
https://doi.org/10.59964/2993-2556.1023
Primary Topic
Resource-Constrained Project Scheduling
Type
article
Field-Weighted Citation Impact
0.00
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article

Rethinking Schedule Quality Risk Assessment

Michael E. Oliver, Patrick T. Rodjom
Beyond the Project Horizon Journal of the Center for Project Management Innovation
Resource-Constrained Project Scheduling
article

Rethinking Schedule Quality Risk Assessment

Michael E. Oliver, Patrick T. Rodjom
article en

Abstract

Critical Path Method schedule reliability is dependent on exhibition of specific qualities. Failure to exhibit these qualities (i.e., schedule defects) increases project risk exposure. Although current schedule quality assessment methods provide diagnostic remediation insights, they do not provide a meaningful singular assessment value that characterizes the nature and magnitude of schedule quality risk nor do they enable parity when comparing schedule quality across multiple schedules of disparate size (e.g., number of tasks) or complexity (e.g., number of concurrent paths, degree of merge bias). This study employed a design science research approach to address current schedule quality assessment practice dilemmas through proposition of a new methodological artifact for evaluating schedule quality risk.

Beyond the Project Horizon Journal of the Center for Project Management InnovationVol. 2(2)
Openalex Percentile: Top 60%
Resource-Constrained Project Scheduling
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Rethinking Schedule Quality Risk Assessment — Michael E. Oliver, Patrick T. Rodjom · Beyond the Project Horizon Journal of the Center for Project Management Innovation (2025) | TGRS Research Map | TGRS