考虑满意度成本的FAP不定参数TSFMO供应链设计
发布时间：2018-09-17 17:15
【摘要】：针对生鲜农产品(Fresh Agricultural Product,FAP)配送过程中的多设施选址问题,提出一种考虑满意度及追溯成本的生鲜农产品不定参数两阶段模糊多目标(Two Stage Fuzzy Multi-Objective,TSFMO)供应链设计方法。首先,基于生鲜农产品特点,不仅考虑传统运输成本和固定设施位置成本,同时还考虑废物和废品处理成本及追溯成本,并建立满意度衰减函数来表达供应链中成员的满意度,提高模型的适应性;其次,针对经济环境变化,设置模糊参数的FAP供应链模型,同时为获得最优解,利用两阶段概率线性规划进行求解,提升优化效果;最后,通过实验显示,所提算法在具有最优优化目标值情况下,仅需6.3 s完成优化过程,体现了算法较高的计算精度和效率。
[Abstract]:A two-stage fuzzy multi-objective (Two Stage Fuzzy Multi-Objective,TSFMO (Two Stage Fuzzy Multi-Objective,TSFMO) supply chain design method for fresh agricultural products with uncertain parameters considering satisfaction and traceability was proposed to solve the problem of multi-facility location in the distribution of fresh agricultural products (Fresh Agricultural Product,FAP). Firstly, based on the characteristics of fresh agricultural products, not only traditional transportation costs and fixed facility location costs are considered, but also waste and waste disposal costs and traceability costs are considered, and satisfaction attenuation function is established to express the satisfaction of supply chain members. Secondly, the FAP supply chain model with fuzzy parameters is set according to the change of economic environment. In order to obtain the optimal solution, two-stage probabilistic linear programming is used to improve the optimization effect. Finally, the experiment shows that, The proposed algorithm only needs 6.3 s to complete the optimization process with the optimal target value, which reflects the high accuracy and efficiency of the algorithm.
【作者单位】： 鲁东大学信息与电气工程学院;
【基金】：山东省高等学校科技计划项目(J14LN20)
【分类号】：F304;O221.1
本文编号：2246583
[Abstract]:A two-stage fuzzy multi-objective (Two Stage Fuzzy Multi-Objective,TSFMO (Two Stage Fuzzy Multi-Objective,TSFMO) supply chain design method for fresh agricultural products with uncertain parameters considering satisfaction and traceability was proposed to solve the problem of multi-facility location in the distribution of fresh agricultural products (Fresh Agricultural Product,FAP). Firstly, based on the characteristics of fresh agricultural products, not only traditional transportation costs and fixed facility location costs are considered, but also waste and waste disposal costs and traceability costs are considered, and satisfaction attenuation function is established to express the satisfaction of supply chain members. Secondly, the FAP supply chain model with fuzzy parameters is set according to the change of economic environment. In order to obtain the optimal solution, two-stage probabilistic linear programming is used to improve the optimization effect. Finally, the experiment shows that, The proposed algorithm only needs 6.3 s to complete the optimization process with the optimal target value, which reflects the high accuracy and efficiency of the algorithm.
【作者单位】： 鲁东大学信息与电气工程学院;
【基金】：山东省高等学校科技计划项目(J14LN20)
【分类号】：F304;O221.1
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