摘要
针对易逝性高新技术产品更新换代期内新、老产品共存的特征,建立了不确定环境下有能力约束的单工厂、多分销中心、多市场的新、老产品生产-分销网络优化模型。首先考虑了响应时间、价格及替代性对新、老产品需求的影响,并在此基础上将产品需求细分为初始需求、核心需求和实际需求;根据新、老产品所处生命周期阶段的不同建立了新、老产品的响应时间模型;然后以更新换代期内总盈利最大化为目标函数构建了一个非线性整数规划模型来确定新、老产品的生产规模、运输方式、存储位置,并采用混合智能算法对模型进行求解;最后通过算例验证了模型的有效性及算法的可行性。
Aiming at the coexistence of new and old products within the updating and upgrading period of perishable high-tech products,an optimization model of distribution network for the production of new and old products in single-factory,multi-distribution center and multi-market with constraint capacity in uncertain environment is established in this paper.The influence on the new and old products by the time response,price and substitution rate are considered in this model.On the basis,the product demand is subdivided into initial demand,core demand and actual demand.According to the stage of new and old products in the life cycle,the model for the response time of new and old products is established.And then,with the maximum total profit within the updating and upgrading period,a non-linear integer planning model is established to determine the production scale,transportation model and storage location of the new and old products.And hybrid intelligent algorithm is used to solve this model.The effectiveness of this model and the feasibility of this algorithm are verified by an example.
出处
《软科学》
CSSCI
北大核心
2010年第11期132-135,共4页
Soft Science
基金
西华大学交通运输重点学科建设基金项目(XZD0816-09-1)
关键词
高新技术产品
不确定需求
分销网络
价格
响应时间
替代率
high-tech product
uncertain demand
distribution network
price
response time
substitution rate