Decision Support for Project Management using A Chronographic Approach
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Bibliographic record
Abstract
Abstract Generally, the utilisation of the traditional scheduling methods represents a complex and lengthy task for most of the project managers. The existing project management software imposes often an important preparation period and the quality of graphical output of the planning job is questionable. In this article, we propose a new decision approach based on a chronographic representation of the schedule, which could simulate the real conditions of the project and as such, could be considered a flexible new toll for project planning. This planning model is design to be comprehensive enough to encompass the reality of the projects and to be auto-adaptive. We will show the benefits of the chronographic modelling coupled with knowledge-based to produce a more effective tool, especially for an inexperienced project manager. Pour plusieurs entrepreneurs, l'utilisation des méthodes de planification habituelles est une tâche compliquée qui génère des coûts importants et parfois injustifiés. Les logiciels de planification existants imposent un travail de préparation onéreux. De plus, la visualisation des outils informatiques qui présentent ces plannings laisse à désirer et la convivialité d'interface de communication reste modeste. Ces limites découragent les moyennes et les petites entreprises d'informatiser la planification et la gestion de leurs projets. Nous proposons, dans cet article, un outil d'aide à la décision basé sur une nouvelle approche de modélisation chronographique, flexible et claire qui simule la réalité des projets et qui se veut un outil efficace aux besoins des gestionnaires de projets. Keywords: PlanningSchedulingChronographTime-ScaledCPMDDSMots clés: planificationéchéancierchronographeéchelle du tempsCPMSIAD
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it