重庆理工大学学报2024，Vol.38Issue(3)：257-266,10.DOI:10.3969/j.issn.1674-8425(z).2024.02.028
具有劳动异质性的订单分批优化研究
Optimization study of order batching with labor heterogeneity
摘要
Abstract
Reasonable order batching and fast picking of goods are of great significance to the timeliness of distribution.To study the order batching problem in the O2O supermarket warehouse distribution center so as to allow the picking staff with labor heterogeneity to pick the ordered goods faster and ensure their high efficiency and appropriate amount of workload,a dual-objective mixed-integer planning model is built,aiming to minimize the walking distance of the picking staff and optimally balance their workload.A dynamic adaptive step-size firefly algorithm is applied to address the problem,and the correlation between the proposed model and the objective is proved.Finally,the validity of the model and algorithm is verified through data experiments,showing the model exerts a strong influence on order batching and employees with labor heterogeneity and provides a scientific basis for improving the timeliness of supermarket delivery.关键词
订单分批/改进萤火虫算法/劳动异质性/超市Key words
order binning/improved firefly algorithm/labor heterogeneity/supermarkets分类
信息技术与安全科学引用本文复制引用
徐兆峰,姜雪松,李春伟,王婧..具有劳动异质性的订单分批优化研究[J].重庆理工大学学报,2024,38(3):257-266,10.基金项目
黑龙江省自然科学基金项目(LH2019E001) （LH2019E001）
