CAJ | 학술논문

供应链中由于信息传递过程中出现的信息膨胀引起牛鞭效应造成各种成本的急剧增长，为使目标函数费用最小，基于颜色Petri网建立了不同需求预测方法及库存策略的CPN模型。在订单数量等变量随机产生以及订货点等因素不确定的情况下，通过实验仿真数据确定了存储、订货及缺货费用与各种不确定变量的关系，从而确定了最优的库存策略。通过对比实验证明了该方法的有效性及正确性。
공응련중유우신식전체과정중출현적신식팽창인기우편효응조성각충성본적급극증장，위사목표함수비용최소，기우안색Petri망건립료불동수구예측방법급고존책략적CPN모형。재정단수량등변량수궤산생이급정화점등인소불학정적정황하，통과실험방진수거학정료존저、정화급결화비용여각충불학정변량적관계，종이학정료최우적고존책략。통과대비실험증명료해방법적유효성급정학성。
Because of distorted information and poor product management often lead to uncertainty and to instability phe-nomena. This paper considers the case of the supply chain model using Timed Colored Petri nets and analyses the impact of various continuous inventory policies and known forecasting methods followed by supply chain participants. CPN tools are used for the design of decision-making processes and simulation results are presented to highlight the main issues arising in real systems and to provide insights for future work on modeling and simulation of supply chains.