基于mopso算法的第三方物流服务商评价选择
首发时间:2019-04-02
摘要:随着物流行业的发展,第三方物流服务商的评价选择日益受到企业管理者重视。目前对物流服务商的评价选择,以层次分析法为主。虽然层次分析法简便易行,但其评价过程不乏主观性的人为评价,大大降低了结果的可靠性。针对这一问题,首先利用灰色系统理论,计算服务商评价指标相对各目标层的权重,进而建立多目标评价模型;然后选择MOPSO算法并针对其易收敛于局部最优的缺点,重新定义个体极值和全局极值的选取方法,对改进后的MOPSO算法进行测试,验证其有效性,并运用改进MOPSO算法求得多目标问题的最优解集,利用逼近最优解集的思想选择最佳物流服务商;最后,结合企业物流服务商评价选择实例,验证了论文建立的评价方法的有效性。
关键词: 企业管理 第三方物流 灰色系统理论 多目标评价模型 MOPSO算法
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evaluation and selection of third party based on MOPSO algorithms
Abstract: With the development of logistics industry, the evaluation and selection of third-party logistics service providers are increasingly valued by business managers. At present, the evaluation and selection of logistics service providers are mainly based on the analytic hierarchy process (AHP). AHP is simple and easy to implement, there is no lack of subjective evaluation in its evaluation process, which greatly reduces the reliability of the results. In order to solve this problem, firstly, the weight of each index relative to each target level is calculated by using grey system theory, and then a multi-objective evaluation model is established. Then Select MOPSO algorithm and redefine the method of selecting individual and global extremes to overcome its shortcomings of easy convergence to local optimum. Test the improved MOPSO algorithm to verify its effectiveness and the improved MOPSO algorithm is used to obtain the optimal solution set of multi-objective, and the idea of approaching the optimal solution set is used to select the best logistics service provider. Finally, the validity of the evaluation system established in this paper is verified by comparing the evaluation and selection of logistics service providers in actual enterprises.
Keywords: business management third-party logistic grey system theory multi-objective evaluation model MOPSO algorithm
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