Simulation-Based Multiple Heavy Lift Planning in Industrial Construction
Bibliographic record
Abstract
Heavy lifting in industrial construction involves the installation of prefabricated modules and equipment weighing up to 1000 tons. Placing a prefabricated module requires a specific crane with a minimum capacity and specific configurations and riggings. Site construction process should follow a certain sequence. If the required cranes are not available or the predecessor modules or structures are not built yet, the module has to be stored in a storage area. Prior to lifting a module, several supporting tasks must take place including adjusting the location, configuration, and rigging of the crane and preparing the ground beneath the crane. Therefore, planning multiple heavy lifts is a complex process. However, it has a significant impact on the cost, schedule and safety of the project. This study employs a simulation-based approach to produce a heavy lifting planning system for mobile cranes. This system assists the project manager and lift engineer in decisions regarding the selection of mobile cranes and their locations and configurations for different lifts. It also produces a schedule that reduces the total cost and enhances the schedule of the project. This system is under implementation on an industrial plant in the province of Alberta, Canada.
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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".