Integrated lean concepts and continuous/discrete-event simulation to examine productivity improvement in door assembly-line for residential buildings
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
Efforts within the construction-manufacturing domain to improve assembly-line operations have benefited from paradigms emerging in the late-1990s such as lean manufacturing. This study investigates lean concept solutions to enhance productivity prior to capital investments. The investigation is carried on a case study of a single-door assembly line for residential buildings. Lean improvements are examined through an integrated continuous/discrete-event simulation approach, aiming to increase the productivity of the assembly line. The proposed simulation model incorporates factors representing the system reliability. Continuous simulation modelling, using state variable technique, is implemented to facilitate the observation of door unites in targeted sections to track the accumulation levels in these particular sections of the assembly line. In addition, proposed solutions for productivity improvements are implemented within the simulation model, such as introducing advanced alternatives for the automated stations and adding parallel stations. The effect on the productivity of the assembly line was successfully evaluated after the implantation of the proposed improvements in the simulation model. Relevant approaches can be implemented to evaluate and improve modular construction assembly lines prior to incurring capital investment.
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