A BIM-Based Simulation Model for Inventory Management in Panelized Construction
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Bibliographic record
Abstract
A BIM-Based Simulation Model for Inventory Management in Panelized Construction Samer Bu Hamdan, Beda Barkokebas, Juan D. Manrique, Mohamed Al-Hussein Pages 1-6 (2015 Proceedings of the 32nd ISARC, Oulu, Finland, ISBN 978-951-758-597-2, ISSN 2413-5844) Abstract: Off-site construction is gaining more consideration from builders in North America, as it provides better quality products in less time and cost. Panelized construction is an increasingly popular off-site construction method in which components are panels fabricated off-site then transported to the site for assembly. Panels are manufactured at a rate that exceeds that of on-site assembly of the panels, which necessitates inventory management of the fabricated panels awaiting transportation to the site for assembly. Effective inventory management is thus required in panelized construction to reduce costs. The randomness of the manufacturing and assembly process entails processing a large amount of information iteratively in order to select the proper production scenario to effectively manage the inventory. In this context, simulation provides an appropriate means of testing proposed scenarios in a timely manner. Simulation models require precise information, and building information modeling (BIM) provides a convenient and comprehensive means of data exchange among different environments. This paper thus presents a combination of discrete-event and continuous simulation that uses the information extracted from the BIM model to facilitate inventory management for panelized construction. This approach develops a schedule and ensures continuity and smoothness of the workflow. Keywords: Panelized construction, Inventory management, simulation, Building Information Modeling DOI: https://doi.org/10.22260/ISARC2015/0092 Download fulltext Download BibTex Download Endnote (RIS) TeX Import to Mendeley
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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 | 0.000 |
| 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