Simulating an integrated revenue management approach in a production system with product substitution
Bibliographic record
Abstract
Most revenue management publications dealing with substitutable products in a manufacturing context \nhave focused on pricing issues. They consider that substitution is a customer’s decision which occurs \nas a response to product price differences. In our study, substitution is considered as the firm’s policy. \nWe focus on the extension of the revenue management to practical applications in manufacturing and we \nare motivated by the Canadian softwood lumber case where product substitution is a common demand \nfulfillment practice. We aim, first, to propose a generic consumption model integrating both capacity \ncontrol and product substitution decisions and second, to evaluate, using a rolling horizon simulation, \nthe performance of this integrated model in different settings compared to common demand fulfillment \napproaches. In addition to practical implications, our study contributes to the existing demand fulfillment \nliterature since we simulate different consumption models integrated with a Sales and Operations Planning \nmodel.
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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 | 0.000 | 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 | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.002 |
| Open science | 0.001 | 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 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".