A New Approach for Resource-Constrained Multi-Project Scheduling
Why this work is in the frame
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Bibliographic record
Abstract
Construction and facilities maintenance projects involve a large number of people and tasks with resource constraints and precedence constraints. This paper presents a new approach to model this problem as a resource-constrained multi-project scheduling problem (RCMPSP) with cost minimization. The scheduling problem is first decomposed into two sub-problems: schedule generation and sequencing. For the schedule generation problem, an effective forward and reverse schedule generation (FRSG) method is developed to generate a feasible solution for a given valid sequence. For the sequencing problem, a novel complete local search with memory approach embedded with FRSG is proposed to find the solution which has the best objective value. The proposed approach has been tested on the benchmark instances. Computational results show that it performs very well in terms of both effectiveness and efficiency.
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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 | 0.008 | 0.016 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.002 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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