Analyzing key factors contributing to the time overruns in construction projects using monte carlo simulation [manuscript] / Cee Jay G. Pagulayan, Darwin T. Sardon, Glyssa Dayne R. Benigno. (Record no. 21382)
| 000 -LEADER | |
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| fixed length control field | 02020nam a22001577a 4500 |
| 082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER | |
| Classification number | Civil 0171 |
| Item number | 2025 c.1 |
| 100 ## - MAIN ENTRY--AUTHOR NAME | |
| Personal name | Pagulayan, Cee Jay G., author. |
| 245 ## - TITLE STATEMENT | |
| Title | Analyzing key factors contributing to the time overruns in construction projects using monte carlo simulation [manuscript] / Cee Jay G. Pagulayan, Darwin T. Sardon, Glyssa Dayne R. Benigno. |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT) | |
| Year of publication | ©2024. |
| 300 ## - PHYSICAL DESCRIPTION | |
| Number of Pages | 89 pages ; |
| 500 ## - GENERAL NOTE | |
| General note | Thesis (B.S.) -- Cagayan State University, 2025. |
| 520 ## - SUMMARY, ETC. | |
| Summary, etc | The construction sector plays a vital role in national development, yet many projects continue to suffer from schedule delays, particularly in urban areas like Tuguegarao City. The purpose of this study is to provide the construction industry a better understanding of the key factors contributing to time overruns and to assess their effects on project duration. The study utilized survey responses from 20 construction professionals and analyzed the data using Relative Importance Index (RII), Multiple Linear Regression (MLR), and Monte Carlo Simulation (MCS). Results showed that natural disasters, materials delivery delays, shortage of materials, and lack of workforce were the top four significant causes of time overruns. The developed MLR model revealed that natural disasters and lack of workforce increase project duration, while material-related factors showed negative coefficients. The model yielded an R³ value of 0.608, explaining 60.8% of the variation in project duration. The Monte Carlo Simulation, using 1,000 iterations, estimated project delays ranging from 6 to 27 days, with an average delay of 16 days. In general, the results showed that the integration of statistical and probabilistic tools provides a reliable framework for analyzing and predicting construction time overruns Keywords: Time Overruns, Construction Delays, Monte Carlo Simulation, Multiple Linear Regression, Tuguegarao City, Project Risk Analysis |
| 700 ## - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Sardon, Darwin T. |
| 700 ## - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Benigno, Glyssa Dayne R. |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
| Koha item type | Academic Research |
| Source of acquisition | Permanent Location | Date acquired | Koha item type | Collection code | Accession Number | Lost status | Shelving location | Withdrawn status | Current Location | Full call number |
|---|---|---|---|---|---|---|---|---|---|---|
| School | Cagayan State University - Carig Library | 2025-10-07 | Academic Research | Academic Research | CIVIL0171 | Academic Research Section | Cagayan State University - Carig Library | Civil 0171 2025 c.1 |