Emergency Response Plan Modeling Using IDEF0 and BPMN Approaches
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
Emergency response plans play a key role in limiting the consequences of major accidents and consequently preventing them from causing domino effects.It is therefore crucial to efficiently design and implement emergency response plans according to the expected accidents.Within this framework, this paper is aiming to present a structured approach in order to model and evaluate the performance of such plans, based on IDEF0 and BPMN (Business Process Modeling Notation) methods.In fact, the IDEF0 allow a detailed functional and structural description of the emergency response plan, whereas the BPMN is used to clarify the relations between its different components and to simulate it.The simulation results give valuable information regarding the execution of the emergency response process, especially the required time to reach a safe situation.The proposed approach was illustrated on a special emergency plan called "Internal Intervention Plan: IIP" related to a gasoline storage leakage that may lead to a major accident scenario (fire) within an LNG facility.
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 | 0.000 | 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 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| 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 it