
Risk Management in Road Construction Projects using Fuzzy Logic
Author(s) -
M. Sandeep Kumar
Publication year - 2021
Publication title -
international journal for research in applied science and engineering technology
Language(s) - English
Resource type - Journals
ISSN - 2321-9653
DOI - 10.22214/ijraset.2021.35805
Subject(s) - risk analysis (engineering) , risk management , fuzzy logic , ranking (information retrieval) , risk assessment , identification (biology) , quality (philosophy) , computer science , operations management , engineering , business , artificial intelligence , computer security , philosophy , botany , finance , epistemology , biology
This research presents a complete framework for managing risks in road construction projects using Fuzzy-Risk Failure mode & Effect Analysis (F-RFMEA) system. In this research risk management is done through undergoing five major steps: 1. Identification of risk factors through literature review and discussion with highway construction expert’s result in 61 risk factors are identified, which are categorized in 12 groups 2. Assessment of risk factors in terms of its occurrence, consequences on cost, time & quality and detectability through questionnaire survey. 3. Ranking of risk factors based on Risk Priority Number (RPN, function of occurrence, consequence and detectability of risk) using Fuzzy-MATLAB 4. Risk Allocation i.e. to whom risk should be allocated 5.Treating the risks by designing risk response strategies.