Improvement of risk management in the project scheduling of road construction projects – Case study

In this paper the risks that affect highway construction projects duration are studied by qualitative and quantitative approaches. For the qualitative analysis the consistency of expert opinions was evaluated, and two methods were applied to identify critical risks that affect local projects. The quantitative analysis studied the impact of those risks over the activities of a local project and also the relationship between risks using fuzzy logic and Monte Carlo simulation.

• Record URL:
  • https://doi.org/10.1016/j.procs.2024.06.234
• Record URL:
  • http://www.sciencedirect.com/science/article/pii/S1877050924014777
• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/issn/18770509
• Supplemental Notes:
  • © 2024 The Author(s). Published by Elsevier B.V. Abstract reprinted with permission of Elsevier.
• Authors:
  • Cuadros, Alvaro
  • Ramirez, David
• Conference:
  • CENTERIS 2023 – International Conference on ENTERprise Information Systems / ProjMAN – International Conference on Project MANagement / HCist – International Conference on Health and Social Care Information Systems and Technologies
  • Location: Porto , Portugal
  • Date: 2023-11-8 to 2023-11-10
• Publication Date: 2024

Language

• English

Media Info

• Media Type: Web
• Features: Figures; References; Tables;
• Pagination: pp 767-772
• Serial:
  • Procedia Computer Science
  • Volume: 239
  • Issue Number: 0
  • Publisher: Elsevier
  • ISSN: 1877-0509
  • Serial URL: http://www.sciencedirect.com/science/journal/18770509
• Publication flags:

  Open Access (libre)

Subject/Index Terms

• TRT Terms: Case studies; Construction scheduling; Fuzzy logic; Monte Carlo method; Project management; Risk management; Road construction; Simulation
• Subject Areas: Construction; Highways;

Filing Info

• Accession Number: 01927525
• Record Type: Publication
• Files: TRIS
• Created Date: Aug 19 2024 7:36PM