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作 者:陈晓红[1,2] 崔毅 胡东滨 徐选华[1] CHEN Xiaohong;CUI Yi;HU Dongbin;XU Xuanhua(Business School,Central South University,Changsha 410012,China;Xiangjiang Laboratory,Changsha 410219,China)
机构地区:[1]中南大学商学院,长沙410012 [2]湘江实验室,长沙410219
出 处:《系统工程理论与实践》2025年第2期589-604,共16页Systems Engineering-Theory & Practice
基 金:中国工程院重大咨询项目(2022-JB-01)。
摘 要:流动资金是企业赖以生存和发展的根本,经济不确定性、不确定需求、低效率管理等易造成资金流管理混乱.企业还会受到生产成本、订购成本、融资利率等不确定性的干扰,这将直接影响他们的运营策略,进而造成系统出现严重的波动性.协同控制的优势在于整体协同合作,使系统更具柔性,可高效地应对变化和挑战.对此,加强资金协同管理不仅能提高其利用价值和效率,还能提高系统的稳定性.为此,设计一种动态环境下的资金协同控制策略以实现系统的降本增效.首先,考虑一个二级供应链金融系统,构建一个包含节点企业的状态资金转移和系统总成本方程的基础模型.然后,利用T-S模糊系统将基础模型转化模糊多模型系统,来降低协同控制切换过程中对系统造成的干扰.其次,通过多个仿真实验来验证方法的可行性和控制策略的有效性.最后,通过仿真结果分析给出了一些管理启示和决策支持.Working capital is essential for the survival and growth of companies.However,economic uncertainties,fluctuating demand,and ineffective management often result in cash flow management challenges.Factors like production costs,order expenses,and financing rates further disrupt operations,leading to system fluctuations.Collaborative control offers a solution by fostering overall cooperation and enhancing system flexibility.Enhancing collaborative fund management improves efficiency and enhances system stability.To address this challenge,this article designs a capital collaborative control strategy in a dynamic environment to achieve system cost reduction and efficiency increase.First,considering a two-echelon supply chain finance system,a basic model composed of capital transfer equations of node companies and a total system cost equation.Second,the basic model transforms into a fuzzy multi-model system by using T-S fuzzy system to reduce the interference to the system during the switching process.Third,the feasibility of the method and the effectiveness of the capital collaborative control strategy are verified by several simulation tests.Finally,some management implications and decision support are given through analysis of simulation results.
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