End of life aircrafts recovery and green supply chain (a conceptual framework for addressing opportunities and challenges)
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
Purpose – This paper aims to address the different aspects of end-of-life (EOL) aircraft problems and their effects on original manufacturer’s supply chain. Aircraft manufacturers, in the greener aviation context, need to care about the footprint of planes at the EOL. Considering the challenges in EOL aircraft recovery, the reverse logistics and green supply chain solutions in the other industrial sections cannot be applied in the aerospace industry. A conceptual framework with four elements, supply chain competency, governance policy, relationship in supply chain and aerospace industry context, provides a basis for assessing the opportunities and challenges of the green supply chain in this industry. Design/methodology/approach – The basic research method utilized in this paper is the literature review. The literature review is a research methodology that includes examining books, journals, conference proceedings and dissertations for available information on the area of research. The research area regarding EOL aircraft is new. A substantial amount of literature exists in the field of end-of-life vehicle, but the main content of literature about the aircraft recycling can be obtained via relatively few literature, technical reports, news and industrial experts’ opinions. The literature is complete in some respects while inadequate in others. A considerable amount of information has been gathered through graduate student projects. The other information has been collected via contacts with professionals involved in an EOL aircraft recycling project. The basis for this methodological framework comes from a research process proposed by Mayring (2010) that emphasizes on four steps: material collection, descriptive analysis, category section and material evaluation. Findings – This paper addresses the opportunities and challenges of applying a green supply chain for aircraft manufacturers and analyzes the different aspects of aircraft at the EOL in the context of green supply chain. Research limitations/implications – This study enriches the literature by identifying EOL aircraft value chain analysis in the sustainable development context. It provides an introduction to a fresh research theme and sheds some light on green supply challenges in the aerospace industry. Practical implications – The proposed conceptual framework in this paper helps practitioners to realize the opportunities and challenges of aircraft manufacturers in applying long-term strategies with respect to EOL aircrafts. The proposed framework helps manufacturers to evaluate different perspectives of the EOL aircraft problem. Moreover, the current contribution of aircraft manufacturers into EOL projects is not in a systematic structure and performed through several managerial and professional meetings. The proposed framework in this study is a valuable tool to evaluate the different opportunities and challenges in an organized way. Originality/value – This work provides a valuable framework for future research related to green supply chains in the aerospace context. It also aids practitioners to realize the EOL aircraft problem in the context of the green supply chain, considering the opportunities and challenges.
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 | 0.005 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 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