Logistics and the globalization of the automotive supply chain: A case study on the Parts Consolidation Centres in the Seine Valley Corridor
Bibliographic record
Abstract
During the past decades, the geography of the automotive industry has changed considerably. Today (2021) almost half of the production and sales take place in emerging economies compared to about 10% in 2000. Supply chains have been transformed to follow manufacturers towards the emerging economies. While most parts are sourced locally, non-negligible amounts are conveyed in containers from suppliers' plants in the advanced economies. To save transport costs and to ensure the reliability of these pipelines, car manufacturers rely on Parts Consolidation Centres (PCCs), i.e., cross-docking facilities where parts are sorted and packed in containers depending on their final destinations. Through an in-depth case study on the Seine Valley Corridor, this chapter unveils the logistics operations realized at PCCs, creating opportunities for upgrading through innovation and new technologies such as Hybrid and Electric vehicles, but simultaneously underlines the continued prevalence of low value-added logistics operations and the overall instability of demand.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.006 | 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".