Implementation of Value Engineering in Optimizing Project Cost for Sustainable Energy Infrastructure Asset Development
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
The purpose of this study is to optimize costs by analyzing a case study of the Energy Utility Company (EUC) project in Malaysia and building the main electric distribution station (MEDS) project specifically. In order to achieve this objective, Value Engineering (VE) technique as one of the proven tools was selected, and three alternatives were applied. The first alternative was to reduce the room sizes of the building. The second alternative was to replace the plaster painting with normal painting, and the last one was to replace painting up to 1.5 meters with 1 meter of the high of walls from the floor. Results approved that the implementation of VE has successfully reduced the cost of the project without compromising the quality of the materials. For the first alternative, 17.1% of the cost was saved. Regarding the second alternative, 69.8% of the total cost for ceiling painting was saved, and for the third alternative, 41.6% of the total cost of walls from the floor was saved. The findings of this research may serve as a guide for engineers, scholars, and constructors to reduce the cost of the building project.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 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