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Sustainable food distribution network design under uncertainty |
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| รหัสดีโอไอ | |
| Title | Sustainable food distribution network design under uncertainty |
| Creator | Ma Thi Mai Dinh |
| Contributor | Sun Olapiriyakul, Advisor |
| Publisher | Thammasat University |
| Publication Year | 2568 |
| Keyword | Sustainable supply chains, Closed-loop network design, Perishability, Waste justice, CO₂ emissions, Social sustainability, Genetic algorithm, Reinforcement learning |
| Abstract | Food waste remains a major sustainability challenge in perishable food supplychains, where limited shelf life, quality deterioration, and uncertain product conditionsdirectly affect profitability, product freshness, waste generation, and environmentalperformance. This study develops a sustainable closed-loop supply chain networkdesign model for perishable food distribution under shelf-life uncertainty by integratingnetwork design, inventory planning, freshness preservation, waste recovery, and CO₂emission reduction within a unified decision-making framework. The model considersthree conflicting objectives: maximizing total profit, maximizing product freshness,and minimizing CO₂ emissions. To incorporate the social dimension of sustainability,a Waste Disparity Index (WDI) is introduced to represent unequal waste burdens acrossretail districts and support equity-based waste control. A multi-objective mixed-integerlinear programming formulation is developed, and a Weighted Max–Min approach isapplied to obtain balanced compromise solutions. Due to the computational complexityof the problem, Genetic Algorithm (GA) and GA–Reinforcement Learning (GA–RL)approaches are implemented as solution methods. The computational results revealimportant trade-offs among economic, freshness-related, and environmental objectives,indicating that single-objective optimization may lead to unbalanced sustainabilityoutcomes, whereas the multi-objective framework provides a more balanced decisionmaking approach. Overall, this study contributes to sustainable supply chain networkdesign by integrating shelf-life uncertainty, freshness-oriented inventory planning,waste recovery, CO₂ emission reduction, and WDI-based waste control into a singleoptimization framework. |
