An optimization model for network design of a closed-loop supply chain: a study for a glass manufacturing industry
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Closed-Loop Supply Chain (CLSC) network design plays a significant role in supply chain performance. The CLSC network design is recognized as a strategic problem which ensures a useful and efficient supply chain management providing an optimal platform. The CLSC network design problem includes two types of decisions, strategic and tactical. This paper aims to determine the location of facilities which is recognized as a strategic decision. In addition, tactical decisions such as the amount of supplied raw material, the level of production, and shipments among the network entities are made through the proposed model. This paper is distinctive by introducing a Mixed Integer Linear Programming (MILP)-based model which simultaneously optimizes the both forward and reverse chains. The model is implemented on a glass manufacturing industry to highlight the importance and applicability of the framework. Moreover, the study provides a comprehensive sensitivity analysis to investigate the effect of parameters such as demand and return rates on strategic and tactical decisions in supply chain network.
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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 | 0.004 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 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 it