Planning and scheduling bridge girders fabrication through shop-floor operations simulation
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
In modular and offsite construction, structural components are prefabricated in a fabrication shop resembling a manufacturing plant in order to accelerate field construction processes. However, the dynamic nature of such fabrication operations often demands frequent adjustments to original production plans so as to fit actual project start-finish schedules in terms of completion dates and budgets and accommodate changes in design details. It is a daunting task to minimize disruptions to ongoing workflows while realizing high efficiency in utilization of shop production resources. In reality, such situations constantly press production manages to take prompt decisions without having analytical decision support in exploring available options, potentially resulting in loss of productivity on the shop floor and missed deadlines. This research introduces a structured approach to communicating shop-floor operations simulation at various management levels. The paper focuses on the representation of project schedules and production plans resulting from simulation in straightforward, role-specific “bar charts”. The applicability of the proposed approach is demonstrated with a case in the setting of a steel girder fabrication shop.
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