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基于JIT装配模式的网上超市订单分拣优化模型    

JIT Assembly Line-based Order Picking Process Optimization Method for Online Supermarkets

文献类型:期刊文献

中文题名:基于JIT装配模式的网上超市订单分拣优化模型

英文题名:JIT Assembly Line-based Order Picking Process Optimization Method for Online Supermarkets

作者:黄敏芳[1,4];张源凯[2];王颜新[3];胡祥培[2]

第一作者:黄敏芳

机构:[1]华北电力大学经济与管理学院,北京102206;[2]大连理工大学管理与经济学部,辽宁大连116024;[3]北京联合大学商务学院,北京100025;[4]新能源电力与低碳发展研究北京市重点实验室(华北电力大学),北京102206

第一机构:华北电力大学经济与管理学院,北京102206

年份:2020

期号:5

起止页码:159-166

中文期刊名:中国管理科学

外文期刊名:Chinese Journal of Management Science

收录:CSTPCD;;国家哲学社会科学学术期刊数据库;北大核心:【北大核心2017】;CSSCI:【CSSCI2019_2020】;CSCD:【CSCD2019_2020】;

基金:国家自然科学基金资助项目(71571067);国家自然科学基金创新研究群体项目(71421001)。

语种:中文

中文关键词:网上超市;订单分拣;装配流水线;订单分批;排序

外文关键词:online supermarket;order picking;assembly line;order batching;sequencing

摘要:订单分拣是大型网上超市生存和发展的关键环节,如何在数百万种商品中将订单要求的商品高效、准确地进行拣选并包装,是亟待解决的难题。本文以提高大型网上超市订单分拣方法的科学性为目标,针对订单拣选、集货复核、包装这一作业流程,基于JIT装配流水线思想,建立大型网上超市订单成组分拣的优化模型与求解方法。在构建订单分拣流程中各工序作业时间计算模型的基础上,建立了订单分批与排序的联合优化模型。围绕缩减求解空间的思想提出两阶段启发式优化方法。通过应用实例分析和灵敏度分析证明了算法的有效性。结果表明,本文提出的网上超市订单成组分拣方法相较于传统方法可较大幅度提高订单分拣的效率,为网上零售企业的订单拣选和包装作业流程的优化提供了理论指导。
The online supermarket has become one of the most powerful engines that drive the online retailing market in China.It always sells huge number of fast-moving consumer goods(FMCG)and normally has to store enormous stock-keeping units(SKUs)at multiple zones.How to efficiently and accurately pick up the ordered items from tens of thousands of commodities and package them?From the perspective of JIT assembly line,a new optimization method is proposed to streamline the processing of order fulfillment operations in warehouses,including order picking,order sorting(item collecting and checking)and order packing.Three working time calculation formulations are present first and then a joint optimization model of order batching and sequencing is formulated.The model is solved by a two-stage heuristic solution procedure,which decomposes the original model into a batching model with the consideration of the workload balance of multiple storage zones,and a Permutation Flow Shop Problem(PFSP)to sequence the order batches.The batching model is solved by improved relocate and exchange operations in Local Search algorithm while the PFSP is solved by the NEH algorithm.Finally numerical analysis is conducted to verify the effective of the proposed method.The results indicate that compared with the traditional wave picking method,the proposed method can substantially increase the efficiency of order picking for online supermarkets.The principle of JIT assembly line is introduced to order picking.A new problem solution idea is present for order picking and a theoretical guide for optimizing the whole process of order picking in online retailing is provided.

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