Recent trends in logistics and the need for real-time decision tools in the trucking industry
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
For the last ten years or so, the freight transportation industry has been facing new challenges, such as time-sensitive industrial and commercial practices as well as the globalization of markets. In response to these changes, new information-related technologies have developed rapidly: electronic data interchange (EDI) and the Internet, the Global Positioning System (GPS) via satellites, and decision support systems (DSSs). These technologies can greatly enhance the operations planning capability of freight carriers in as much as they make use of this information in order to optimise their operations. GPS, EDI and the Internet can also provide the necessary information required to achieve real-time computer-based decision making using appropriate operations research techniques. Today's decision support tools must therefore be designed to be used in a real-time environment. This paper describes this environment and proposes optimization tools that can be made available to motor carriers.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.002 | 0.001 |
| 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