摘要
针对逆向供应链中多再制造商和产成品目标市场多样化的回收定价问题,采用博弈论的非合作博弈模型,建立了基于非合作博弈的回收定价模型。采用改进的粒子群算法对非合作博弈模型的Nash均衡点进行求解,提出了在粒子群初始化时加入粒子准入函数,在粒子速度和位置更新时加入修正系数,以提高算法的收敛速度和效率。通过对算例的多次仿真,验证了模型的有效性和算法的可行性。
Aim at issues on multiple remanufacturer in reversing supply chain and diversified recycle pricing in target market of finished goods, not cooperative game model with game theory is adopted for establishment of recycle pricing model base on non-cooperative game. PSO（Partiele Swarm Optimization） is used to compute the Nash equilibrium in the non- cooperative game model. For improvement of rapidity of convergence and efficiency of the algorithm, it proposed that particle admittance function should be added upon initialization of particle swarm and compensation factor should be put in upon refreshing of particle velocity and location. Model validity and feasibility of algorithm have been proved via a number of simulations for algorithm samples
出处
《机械制造》
2011年第8期44-49,共6页
Machinery
基金
国家自然科学基金重点资助项目(编号:70932004G0209)
上海市网络化制造与企业信息化重点实验室开放课题(编号:KF200903)
关键词
逆向供应链
再制造商
非合作博弈
粒子群算法
回收定价
NASH均衡
Reverse Supply Chain Remanufacturer Non-cooperative Game Particle Swarm Algorithm Recycle Pricing Nash Equilibrium
