Grey Critical Chain Project Scheduling Technique and Its Application/TECHNIQUE DE PROGRAMMATION DE LA CHAINE CRITIQUE GRISE DU PROJET ET SON APPLICATION
Bibliographic record
Abstract
Based on the idea of Grey System and interval number coefficient notation, a Grey Critical Chain scheduling approach is studied. According to Grey system theory, the time of project or task completion can be considered as the object that extension is definite but intension is uncertain, which is coincident with the character of the project management. The Grey Critical Chain Scheduling Technique mainly aims at the single project time management, but the management idea can also be applied to the other knowledge areas of the project management. In this Technique, we improve the selection method of the buffer time in the Critical Chain, in order to obtain reasonable Feeding Buffer time and Project Buffer time. In this paper, we will use an example to discuss the Grey Critical Chain Scheduling Technique, compare Grey Critical Chain with Program Evaluation and Review Technique, Critical Chain and Fuzzy Critical Chain, analyze the advantages, disadvantages and applicable scope of their own. Key words: Critical Chain, Grey System, Interval Number, Schedule Management, Project Management Resume: Sur la base de l’idee de Systeme Gris et la notation du coefficient de nombre d’intervalle, l’approche de pragrammtion d’une Chaine Critique Grise est etudiee. Selon la theorie du Systeme Gris, le temps du projet ou de la tâche peut etre considere comme l’objet dont l’extention est definitive mais l’intention est incertaine, qui est conforme au caractere du management de projet. La Technique de Programmation de la Chaine Critique Grise vise essentiellement le management du temps du projet simple, mais l’idee de management peut aussi etre appliquee dans d’autres domaines du management de projet. Avec cette technique, nous ameliorons la methode de selection du temps d’amortissement dans la Chaine Critique afin d’obtenir le temps d’amortissement de l’alimentation raisonnable et le temps d’amortissement de projet. Dans l’article present, nous allons utiliser un exemple pour discuter la Technique de Programmation de la Chaine Critique Grise, comparer la Chaine Critique Grise avec l’Evaluation du Programme et la Technique de revision, la Chaine Critique et la Chaine Critique Floue, et analyser leurs avantages, desavantages et champ d’application. Mots-Cles: Chaine Critique, Systeme Gris, nombre d’intervalle, management de programme, management de projet
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".