A process control simulation of the USD wire payment system at a major Canadian bank
Bibliographic record
Abstract
There is an interesting parallel between the complex continuous processes found in the chemical engineering industry and those in the financial services industry. This study applies the principles of chemical process engineering to model the USD wire payment system at a major Canadian bank using CADSIM, simulation software originally designed for the pulp and paper industry. The objectives were to build a highly visual and interactive simulation model that provides a transparent overview of the wire payment system and opportunity to evaluate process control strategies. Two financial system specific modules were developed: an account 'tank' and a 'payment' queue. Historical payment data was used to test the optimum queue strategy and overdraft limit for minimizing Fedwire overdraft charges. The model successfully demonstrated the merit of flexible, adjustable controls as the results show that monthly overdraft charges could be reduced by almost $40,000 for four of the major accounts, without significantly delaying payments. For cash managers at the Canadian bank the model could be useful as a training tool for new employees or as prototyping opportunity before large scale IT changes are implemented in the real system.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".