Optimizing a Capacitated Vehicle Routing Problem with Scheduled Arrival, Split Deliveries within Time Windows and Emission Consideration
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
The Capacitated Vehicle Routing Problem (CVRP) has gained significant attention in both academic and industrial circles due to its pivotal role in optimizing logistic systems. In the context of evolving distributor companies and the growing integration of logistics with broader societal concerns such as climate considerations, this paper delves into a CVRP variant that includes time windows and split deliveries. Real-world assumptions are incorporated to enhance the practical applicability of the study. A mathematical model is proposed to minimize both economic costs and pollutant emissions. Given the unavailability of cost information for all possible routes, a cost function is estimated through multiple linear regression, considering both distance and time factors simultaneously, in order to associate to each link costs and emissions. To validate the effectiveness of the proposed model, a real-world case study involving an industrial distribution company is investigated. The results demonstrate a significant improvement compared to the company’s current operational procedures.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 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