Optimization of a Sustainable Inventory Model for Non-Instantaneous Deteriorating Items with Preservation Technology under Inflation and Renewable Energy
Bibliographic record
Abstract
Due to global warming and increasing environmental issues sustainability becoming as an essential phenomenon in the operations management therefore industrialists is enforced to take sustainable practices such as renewable energy. On the other hand, governments are imposing carbon tax to reduce the emission due to the inventory management. A sustainable inventory model has been developed here for the decaying items, and the deterioration is assumed to be non- instantaneous. Preservation technology has been considered to diminish the decaying rate. The renewable energy and carbon emission tax has been addressed to reflect the sustainable aspects of the system, while the costing has been analysed under the inflationary environment to address the economic aspects. Demand rate has taken as price dependent. Mathematical model has been developed, and the total profit is maximized considering the price, preservation technology, renewable energy coefficient and cycle length as the decision variables.
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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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.002 |
| Scholarly communication | 0.000 | 0.003 |
| 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 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".