Neutrosophic Analytic Hierarchy Process for Multi-Criteria Decision Making: Applied to Supply Chain Risk Management

Risk management is crucial for sustainability and competitiveness in Bangladesh's textile industry because of the substantial uncertainties that plague its supply chain. This thesis focusses on supply chain risk management in the textile sector by putting forth a Neutrosophic Analytic Hierarchy Process (NAHP) model for multi-criteria decision-making. Through the use of Neutrosophic logic, this model overcomes the shortcomings of conventional AHP and Fuzzy Topsis in managing subjectivity and ambiguity. The Research and Innovation Centre for Science and Engineering (RISE), BUET, provides financing assistance for the project, which uses data from the renowned textile industry in Dhaka to identify and rank the five main risk categories: operational, financial, environmental, social, and market. The study also assesses appropriate risk management plan durations, suggesting Immediate (within 1 month), Short-term (1 to 3 months), Medium-term (3 to 6 months), and Long-term (6 months to 1 year) as options. The results show that the best way to manage recognized risks is with a short-term plan. The results of this study offer significant perspectives for resilience and long-term risk reduction in Bangladesh's textile industry.