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Fuzzy optimization for supply chain planning under uncertain environments |
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| รหัสดีโอไอ | |
| Title | Fuzzy optimization for supply chain planning under uncertain environments |
| Creator | Noppasorn Sutthibutr |
| Contributor | Navee Chiadamrong, Advisor |
| Publisher | Thammasat University |
| Publication Year | 2568 |
| Keyword | Supply chain management, Supply chain aggregate production planning, Multi-criteria decision-making, Conflicting objectives, Uncertainty, Risk of uncertainty, Risk assessment, Asymmetrical triangular distribution, Fuzzy logic, Fuzzy optimization, Fuzzy linear programming, Proportional fairness model, Robustness model, Pareto optimal solution |
| Abstract | This thesis develops advanced fuzzy optimization models to strengthen resilience in Supply Chain Aggregate Production Planning (SCAPP) by addressing uncertainties inherent in modern supply chains. Utilizing fuzzy logic, the model integrates uncertain parameters such as fluctuating demand, variable supplier reliability, and operational disruptions, providing approaches to managing unpredictability. This innovative framework is designed to tackle multiple conflicting objectives simultaneously, including cost minimization, resource allocation optimization, and risk mitigation, thereby enabling decision-makers to achieve balanced and efficient SCAPP. This advancement marks a departure from conventional approaches, which frequently focus on static assumptions and single-objective optimization. By systematically quantifying uncertainties, the model ensures that supply chain strategies remain robust against external shocks and internal variabilities. Its ability to provide adaptive solutions to unexpected scenarios demonstrates its relevance in industries where supply chains face frequent disruptions due to market volatility, global uncertainties, and rapid technological changes. The empirical results confirm that the proposed models enhance operational efficiency, reduce the risk of cost fluctuations, and improve resource utilization, making it a valuable tool for businesses aiming to maintain stability in volatile environments. By bridging the gap between theoretical advancements and practical applications, this study contributes to both scholarly discourse and industry practice, emphasizing the importance of adaptable and scalable solutions in dynamic supply chain environments.The findings of this thesis go beyond theoretical advancements, offering practical insights that empower supply chain managers to make more informed and effective decisions. By addressing real-world complexities, the model demonstrates its versatility and applicability across various industries, serving as a crucial tool for organizations aiming to achieve both operational efficiency and long-term sustainability. Additionally, this research lays a strong foundation for future studies, encouraging the exploration of more advanced fuzzy optimization models and further integration of risk mitigation strategies into SCAPP frameworks. |
