Life cycle assessment: Study linkage between environment supply chain management and sustainability of supply chain
Bibliographic record
Abstract
The most significant impacts on the environment and society of corporate operations occur in the supply chain. Environmental impacts occur at different stages of the environmental life cycle and relate to the extraction of raw materials from the earth, the processing and manufacturing of building materials, the construction process, operation or use, maintenance and repair, repair and eventual disposal or reuse of materials. Environmental phenomena of climate change or global warming are the result of human practice. Global warming causes an increase in ocean temperatures and surface of the book, causing melting of polar ice caps and rising sea levels. Another phenomenon of waste and sewage problems has become a national and international problem. Every supply chain activity in a series of production activities has an impact on the environment. Supply chains can have different organizational structures that reflect business relationships or the level of collaboration between chain companies. This study examines the relationship of Life Cycle Assessment (LCA) with Environment Supply Chain Management (ESCM) and Sustainability Supply Chain in Manufacture in Indonesia.
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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 | 0.005 | 0.000 |
| Meta-epidemiology (narrow) | 0.002 | 0.002 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.003 | 0.006 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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; both teacher heads agree on what is shown here.
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".