Identification and Assessment of Supply Chain Risks Associated with Dairy Products Sector
Bibliographic record
Abstract
Risks cannot be entirely removed or eliminated from Human’s life and from lives of Organizations but may be mitigated and their effects may be reduced. The principal objective of this research is to identify and assess supply chain risks in dairy products sector. A set of supply chain risks is identified through extensive literature survey and is divided into five major categories and 28 components through Risk Breakdown Structure approach. A questionnaire is developed based upon these 28 components and data collected from 170 respondents. Risks are assessed through Probability and Impact scores obtained from responses and then slotted into 2x2 Risk Matrix. A risk matrix comprising of 04 quadrants is formulated through low and high scores of probability and impact of all 28 risks. It is found that 16 risks fall in high risk quadrant, 08 in moderate and 04 in low risk quadrant. Risks of competition, deceases, terrorism, quality of raw materials, natural disasters along with those falling high risk quadrants are required to be promptly responded by dairy sector operators for effective risk mitigation. Similarly risk responses have been suggested for moderate and low gravity risks as well.
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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 | 0.003 | 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 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| 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".