Sustainability, Год журнала: 2025, Номер 17(8), С. 3532 - 3532
Опубликована: Апрель 15, 2025
This study addresses the procurement problem in mechanical manufacturing enterprises, considering both supply chain disruption risks and carbon emissions. Based on a multi-product, multi-supplier planning optimization problem, high-dimensional multi-objective model is developed with cost, total loss, number of quality defects, emissions as objectives. The solved using an improved integer-coded NSGA-III algorithm, which includes four mechanisms: heuristic population initialization, infeasible solution repair, weight-matrix-based crossover operator, multi-column exchange mutation Pareto simulated annealing. Through numerical experiments, performance this algorithm compared NSGA-II, demonstrating its superior ability to handle multi-objective, multi-constraint problems. Ablation experiments further validate effectiveness mechanisms. Case results show that optimized plan balances economic environmental benefits while risks.
Язык: Английский