Design of Sustainable Intertwined Supply Networks
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
Supply chain networks are struggling with many challenges today due to the inability of current strategies to incorporate the necessary collaboration and integration among them. Moreover, societies and the environment demand a shift towards more sustainable solutions. Therefore, to better handle the challenges of today’s uncertain market and sustainability considerations, focusing more on integrating supply networks with a holistic view is necessary. Unlike traditional supply chains, the configuration of these networks is highly interconnected, which enables the system to enhance its resilience and to adapt rapidly to changes while addressing alternative sourcing and collaborative problem-solving. This paper utilizes the concept of intertwined supply networks—a novel approach that fosters collaboration among multiple supply chains across various industries—to present a multi-objective linear mathematical model that focuses on optimal location modeling, integrating both economic efficiency and social considerations to ensure sustainability and ethical alignment. Developing an illustrative example and solving the model with a fuzzy interactive programming approach, followed by sensitivity analysis, this paper validates the feasibility and applicability of the model in this field.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.001 |
| 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