Fuzzy optimization of location decisions in supply chain management
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
Fuzzy optimization models provide a powerful decision support tool for optimization models in fuzzy environment. In this paper fuzzy goal programming (FGP) is integrated with the fuzzy analytic hierarchy process (FAHP) to determine optimal plant and distribution centre locations in a supply chain with special focus on the operational efficiencies of the distribution centres. The integrated FGP-FAHP model incorporates multiple conflicting objectives as demanded by the decision process. The concept of fuzzy logic is utilized to model the variation of demands at retails centres that makes the model more sophisticated to the real SCM problem. The FAHP is used to model the decision maker preferences and to handle information ambiguaties in the comparison judgment by introducing a linguistic variable, and to find the relative weights of multiple objectives in FGP. In addition to, the proposed FGP-FAHP provides a risk management decision support tool in SCM problem associated with information ambiguities.
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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 | 0.003 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| 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