<b>Analysing</b> Causal dependencies of composite service resilience in cloud manufacturing using resource-based theory and DEMATEL method
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
The purpose of this paper is to construct a causal model of dimensions and their attributes that influence composite service resilience in Cloud manufacturing (CM) system. The composite services are regarded as critical components of CM to accomplish manufacturing jobs and are executed in a distributed, heterogeneous and autonomous environment with high uncertainty and dynamicity. The dimensions and attributes of the proposed model were first identified based on resource-based theory and related literature. Then, the DEMATEL technique was used to measure the strength of influence among the studied factors. The required data were collected through the questionnaires replied by experts from industry and academia. The results of data analysis indicate that virtual resource pool and elastic resource management have the most impact on composite service quality of resilience. This study presents a novel causal model to improve the existing knowledge on composite service resilience in the context of CM. Furthermore, the research findings provide system analysts and designers with a clear definition of composite service resilience. They are useful to design explicit strategies for improving the resilience level of the composite services at different layers of CM architecture in practice.
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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 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| 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 it