Logistics Planning and Visualization of Modular Integrated Construction Projects Based on BIM-GIS Integration and Vehicle Routing Algorithm
Why this work is in the frame
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Bibliographic record
Abstract
Logistics planning is a critical part of developing supply chain for modular integrated construction (MiC) projects in Hong Kong where high-rise, high density and hilly landscape is the norm. It is important to minimize the total logistics and to guarantee timely delivery of modules, especially for several MiC projects being constructed during the same period. Nevertheless, there is a significant lack of studies on logistics planning, optimization and visualization for MiC projects. The aim of this paper is to establish an integrated MiC logistics planning and visualization platform, which is grounded on the integration of building information modeling (BIM), geographical information system (GIS) and vehicle routing problem (VRP) algorithm. The framework is then presented and evaluated using a case study to identify optimal logistics scenario of trailer routes to meet the installation time window of MiC projects in Hong Kong. The paper finds that the proposed platform has the ability to make optimized logistics scenario for MiC projects, and to visualize the logistics scenario in a 3-dimentional interactive environment. Future study will focus on adopting flexible control strategies and including more decision-making criteria of logistics planning in MiC projects such as road width limitation, travel speed and different module types
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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 | 0.000 | 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 | 0.001 |
| 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