Checking the feasibility of a vehicle route in integrated supply chain transportation model
Bibliographic record
Abstract
The paper presents the variant of vehicle routing problem that considers the optimal integration of forward flow of materials from manufacturer to customers with a backward flow of materials from customers to specialised warehouses or recycling sites. The problem is called vehicle routing problem with simultaneous pickup and delivery (VRPSPD). In VRPSPD, a customer requires a given shipment to be delivered as well as a given load to be picked up simultaneously. Complete service (i.e., delivery and pickup) to the customer is provided by a vehicle in a single visit and thus the load of a vehicle fluctuates over the route. Given that the load fluctuates over the route, an important issue of VRPSPD is checking the feasibility of a route during local search. In this paper, we present the cumulative net-pickup approach for checking the feasibility of a vehicle route while performing neighbourhood search in local search schemes.
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How this classification was reachedexpand
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 | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".