Efficiency Analysis of Indonesian Coffee Supply Chain Network Using A New DEA Model Approach: Literature Review
Bibliographic record
Abstract
A position of Indonesia as the world’s biggest producer of robusta coffee has declined. Currently, Vietnam is the main producer of robusta coffee in the world. A decline in Indonesia's position is due to saturation of the Indonesian coffee export destination countries which results in declining demand for export of Indonesian coffee. The quantity of Indonesian robusta coffee supplied to the international market depends on secured supply of domestic raw materials and the efficiency of supply chain network. Efforts to ensure the domestic coffee supply is done through efficiency analysis on each member of the supply chain that forms the supply chain network. Efficiency measurement in supply chain network is performed using the New DEA Model developed by Liang et al. The measurement technique of DEA is gradually the efficiency of the production unit (product flow) of each actor (seller and buyer) on the supply chain. The efficiency level of each actor can determine the efficiency of the supply chain network. This is because of the relationship of input and output between seller and buyer so that the final output of supply chain network will produce. New DEA model is more appropriate to use in supply efficiency mechanism that can be cooperative.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.005 |
| Science and technology studies | 0.002 | 0.001 |
| 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 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".