Simulation Of QA/QC Impact On Onshore Jacket Fabrication Productivity
Bibliographic record
Abstract
Inadequate contract documents in earlier project time or unforeseeable factors during the project performance cause construction dispute. These factors impact project cost and duration as well as causing inconsequence to one or more of the project parties. There are large number of quality assurance / quality control (QA/QC) onshore activities in the fabrication of an offshore fixed steel jackets and platforms. This, certainly, interrupts production time and might cause delays that discomfort all project parties. Therefore, current paper models the impact of QA/QC on an onshore fixed steel jacket fabrication using Monte Carlo simulation. A simulation model is developed with and without QA/QC to illustrate parties’ responsibilities and show its impact on productivity. The developed model is applied to a case study in order to analyze the QA/QC effect. Results show that the QA/QC enlarges project duration by almost 20%. Sensitivity analysis is carried out to show the model’s sensitivity to input changes and look for alternate solutions to reduce QA/QC durations. Remedial solutions are employed and analyzed to alleviate extra project disputes. Current research is relevant to fabrication companies, consultants, and owners of fixed steel jackets.
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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 | 0.000 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
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".