Logistical Strategies and Risks in Canadian Grain Marketing
Bibliographic record
Abstract
Logistics management in grain marketing has become very important with the maturity of the industry. This is particularly critical in the Canadian grain marketing system, which has experienced disruptions for various reasons over many years. These problems have been the topic of numerous industry evaluations, have resulted in a complaint about service obligations during the 1996–97 crop year, and were addressed by the Estey Commission. A detailed model of the Canadian grain logistics system is developed in this paper to evaluate factors that cause disruptions, as well as the effect of several important logistics and marketing strategies on system performance. The results illustrate that there is sufficient randomness throughout the various functions of the system that it is expected that demurrage at the west coast would periodically be an important cost. The frequency of service disruptions and demurrage are affected by several factors, including the distribution of tough and damp grains, mis‐graded grain and the level of exportable supplies. Several strategic variables affect system performance. These include the aggressiveness in selling relative to capacity and the level of beginning port stocks. La gestion de la logistique dans le commerce des céréales a acquis une grande importance maintenant que ce secteur a atteint la maturité. C'est particulièrement important dans le système canadien de mise en marché des céréales lequel, pour diverses raisons, a essuyé bien des perturbations ces dernières années. Les problèmes en cause ont fait l'objet de nombreuses évaluations du secteur. Ils ont même abouti au dépôt d'une plainte sur les obligations de service dans la campagne agricole 1996–1997 et ont étéétudiés par la Commission Estey. Dans la présente communication nous avons construit un modèle détaillé du système canadien de logistique du marché des céréales ainsi que de l'effet de plusieurs stratégies importantes de logistique et de commercialisation sur la performance du systeme. Les résultats obtenus montrent qu'il y a suffisamment d'aléatoire dans les diverses fonctions du systeme pour conclure que les frais de séjour à quai sur la côte ouest seraient périodiquement un important poste de dépense. La fréquence des perturbations des services et les coûts a quai sont associés à plusieurs facteurs dont la livraison de grain gourd et humide, de grain mal classé et le niveau des disponibilités exportables. Plusieurs variables stratégiques influent sur le fonctionnement du système, notamment l'agressivité manifestée dans la vente par rapport aux stocks disponibles et le niveau des stocks disponibles dans les ports au début de la campagne d'exportation.
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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 | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.004 | 0.003 |
| Scholarly communication | 0.006 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 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 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".