针对制造商、回收商及消费者组成的三级闭环供应链模型,运用混沌控制理论解决三渠道回收模式下闭环供应链混沌控制问题。首先考虑消费者对再制品需求的不确定性,在某一时间段中,对消费者自愿购买再制品数量的数据进行采集,通过K-S检验的方法验证该数据服从均匀分布,进一步构建基于决策变量的离散动态模型;其次使用MATLAB软件进行数值仿真模拟,研究回收价格敏感系数和回收价格竞争系数作为固定值时,制造商和两个回收商之间的绘制分岔图、最大Lyapunov指数图、初值敏感分析图,并对系统的混沌特征和初值敏感性进行研究分析;最后采用状态反馈控制和参数调整的方法对混沌系统进行控制。结果表明该方法能有效地改善或消除混沌状态,优化决策行为,提高决策者利润。
Aiming at the three-level closed-loop supply chain system composed of manufacturers, recyclers and consumers, chaos control theory is used to solve the chaotic control problem of closed-loop supply chains under three channel recovery modes. Firstly, the uncertainty of consumer's demand for remanufactured products is considered, over a period of time, data on the number of consumer resourcepurchases of remanufactured products are collected. The method of K-S test proves that the data obeys the uniform distribution, and further constructs the discrete dynamic model based on the decision variable. Secondly, using MATLAB software to simulate numerical simulation, study the recovery price sensitivity coefficient and the recovery price competition coefficient as fixed values, the manufacturer and the two recyclers draw a fork map, the largest Lyapunov index map, the initial value sensitive analysis map, and the system's chaotic characteristics and primary value sensitivity analysis. Finally, the chaotic system is controlled by means of state feedback control and parameter adjustment. The results show that this method can effectively improve or eliminate chaotic state, optimize decision-making behavior and improve the profit of decision makers.
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