The Importance and Use of Risk Management in Various Stages of Construction Projects Life Cycle (PLC)
Bibliographic record
Abstract
Risk management is a step to make construction projects more efficient and practical such that uncertainties should be identified before occurring and changing into crisis and a balance should be made between threats and opportunities. Accordingly, construction industry is one of the most important and job creating industries in all countries. Compared to other economic-industrial sectors, construction management is highly influenced by the perception and employment of risk management concept. Additionally, there are abundant risks in such activities since Construction projects activities are very complex and various. Hence, it seems necessary to evaluate the proper use of risk management in various stages of Construction projects life cycle. In this regard, the present study attempts to describe Construction projects life cycle step by step and analyze the way of using risk management from designing stage to reviewing and supporting stage. The final objective of the study is to describe the process of using project management and its tools to create an optimal status in terms of risk and return balance in order to reach main objectives in construction projects.
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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".