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卷烟生产中备料库货位布局与储位优化

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备料库作业作为卷烟生产的关键环节,主要负责原料的入库、质检、组批和出库等任务,其作业效率直接关系到卷烟生产的高效性和连贯性.然而,目前我国多数卷烟厂的备料库作业仍以人工操作为主,且存在仓库区域划分不合理、箱烟储位分配较随意等问题,导致备料出入库效率低下,进而影响卷烟生产效率.基于此,以提升卷烟生产中的备料库作业效率为目标,研究备料库货位布局及储位优化问题.其中,储位优化涉及入库后单箱烟和组批后箱烟两个阶段,是阶段化决策问题.首先,结合备料库实际作业流程提出货位布局优化方案.其次,分别以最小化总搬运强度和最大化箱烟流转效率为目标建立数学模型,并设计改进大邻域搜索算法求解该问题.最后,采用9种规模的算例进行实验,验证了模型和算法的有效性.结果表明,(1)本文算法能在短时间内求得高质量可行解.(2)与当前备料库作业效率相比,优化后总搬运强度平均减少14.60%,箱烟流转速率平均提高27.92%.研究成果不仅对提升备料库作业效率有指导意义,同时可为烟厂数字化建设工作提供理论支撑.
Optimization of Cargo Slot and Storage Space in Cigarette Production Warehouse
As a key link in cigarette production,the stock warehouse operation is mainly responsible for the storage,quality inspection,batching,and exit of raw materials.Its efficient operation directly affects the effectiveness and smoothness of cigarette production.However,most cigarette factories in China still rely on manual operation in cigarette stock warehouses,and there are issues such as unreasonable warehouse zoning and random allocation of carton storage space,leading to inefficiency in the entry and exit of cigarette stock,which in turn affects the efficiency of cigarette production.Based on this,aiming to improve the efficiency of stock operations in cigarette production,this paper studied the optimization of the cargo slots and storage space in a cigarette stock warehouse.The optimization of the storage space involves two stages:single carton storage upon entry and carton placement after batching,making it a phased decision-making problem.To solve it,first,an optimized cargo slot layout plan is proposed in light of the actual operational process of the cigarette stock warehouse.Second,two mathematical models were established with the objectives of mini-mizing total handling intensity and maximizing carton turnover efficiency respectively,and an improved large neighborhood search algorithm was designed to solve the models.Finally,a numerical example was conducted using nine data sets varied in scale to verify the effectiveness of the model and the algorithm.The results show that(1)the algorithm of this paper could obtain high-quality feasible solutions more quickly;(2)compared to the status quo of the stock warehouse,after optimization,the total handling intensity was re-duced by an average of 14.60%,and the carton cigarette turnover rate was increased by an average of 27.92%.The research results of this paper can optimize the operational process of the stock warehouse by re-ducing detours in the handling process through more efficient zoning and lowering labor costs.On the other hand,the algorithm designed in this paper can be embedded in digital warehouse systems to quickly obtain optimal storage plans for inbound and batched cartons,providing strong support for the comprehensive digi-talization of cigarette factories.The phased storage space optimization model and the algorithm framework proposed in this paper have certain degree of universality and can be applied to other warehousing systems that require multi-stage management,such as those in the food,pharmaceutical,and electronics industries.Therefore,future research can further verify and expand the applicability of the algorithm in these applica-tion contexts,providing theoretical support and practical tools for the intelligent management and digital transformation of multi-industry warehousing systems.

cigarette stockcargo slot layoutstorage space allocationlarge neighborhood search algorithm

申红升、李鹏飞、袁海霞

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湖北中烟工业有限责任公司襄阳卷烟厂,湖北 襄阳 441000

卷烟备料 货位布局 储位分配 大邻域搜索算法

2024

物流技术
中国物流生产力促进中心 中国物资流通学会物流技术经济委员会 全国物资流通科技情报站 湖北物资流通技术研究所

物流技术

影响因子:0.506
ISSN:1005-152X
年,卷(期):2024.43(12)