供应链
供应链网络
计算机科学
农业
元启发式
多元化(营销策略)
启发式
数学优化
闭环
元启发式
网络规划与设计
环境经济学
运筹学
供应链管理
业务
数学
算法
控制工程
经济
人工智能
工程类
生物
营销
计算机网络
生态学
作者
Atefeh Rajabi-Kafshgar,Fatemeh Gholian-Jouybari,Iman Seyedi,Mostafa Hajiaghaei–Keshteli
标识
DOI:10.1016/j.eswa.2023.119504
摘要
Nowadays, recent advances and developments in the agricultural sector have raised concerns regarding the environmental impact of agricultural wastes and the safety of agricultural products. Recently, reverse logistics have been used to address these issues. It is also possible to reduce the environmental impact of these by-products and return them to the network by opening compost centers and designing an optimal supply chain distribution network. In this paper, a new mixed linear mathematical model is developed for an agriculture supply chain network to minimize the total fixed and variable costs of the closed-loop supply chain,. To address the proposed model, efficient and well-known old and recent meta-heuristic algorithms are utilized. Besides, to boost intensification and diversification phases, three hybrid meta-heuristic algorithms are developed. Finally, the quality of the meta-heuristic and hybrid algorithms are investigated and compared.
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