Algorithm Research on Optimizing Ordering and Pricing Policy for Perishable Items

摘要：

　　In reality,perishable products also contain defective ones before storage due to uncertainties during production process.In order to reduce the loss caused by the defective products,an inspection process is implemented by retailers.In view of the above,a retailers deteriorating inventory model with defective items is established in this article.Then GA and PSO are used to figure out the model respectively and the usefulness of the intelligent algorithm is confirmed by comparing the outcomes of the two algorithms.

关键词： Inventory strategy Perishable items Defective products Intelligent algorithm

作者: Xin Yang Yuan Zhao Jin-yu Wei Yang Yu

作者单位: Zhonghuan Information College Tianjin University of Technology,Tianjin 300380,China;School of Econom Zhonghuan Information College Tianjin University of Technology,Tianjin 300380,China School of Management,Tianjin University of Technology,Tianjin 300384,China

会议类型: 国际会议

会议名称: 2019中国智能自动化大会(CIA,2019)

会议地点: 江苏镇江

会议语种:英文

页码: 131-137

在线出版日期: 2019-09-20（万方平台首次上网日期，不代表论文的发表时间）