Research On Storage Location Assignment Optimization In Automated Warehouse For Retail E-commerce

Retail e-commerce enterprise warehousing with a small batch.,more than the batch.more categories,various goods,service targets for individuals,picking and other features scattered,which also has a higher warehouse rationality requirements.And with the increasingly widespread use of automated warehouse.the relevance between the rationality of warehouse location allocation and operating efficiency and warehouse utilization efficiency becomes more important.Then the retail e-commerce enterprise warehousing is not suitable to simply be treated as traditional warehousing management.Due to its particularity,retail e-commerce enterprise warehousing is not suitable for the simple management of traditional warehousing.This paper studies the particularity of retail e-commerce enterprise warehousing and tries to meet the requirements of retail e-commerce enterprise warehousing.A series of automated warehouse optimization objectives are proposed,which include the overall outbound storage efficiency,the maximum shelf stability and the storage of goods in accordance with the relevance.These are the three main factors in the design of an optimization based on improved genetic algorithm allocation of location.The optimization of location allocation is the core function of the design and implementation of retail e-commerce enterprise warehousing management system.In this paper.an example is taken as an example to test the actual situation of storage in a retail e-commerce enterprise.Taking the allocation of location under the current common random allocation method as the basis of optimization.The optimization method of location optimizes the allocation of location,and evaluates the effectiveness and superiority of the location allocation optimization from several perspectives.The paper is divided into five parts.The first part is the introduction part,which mainly introduces the research background,research significance.research status at home and abroad,research content and thesis structure.The second part is the related theory and technology foundation,technology and tools are described in detail.The third part is the demand analysis of the location optimization.expounds the key features of the storage characteristics of the retail electricity enterprise and the current distribution method to describe the importance of designing of optimize distribution method.The fourth part is the design of location allocation method,which is one of the core sections of this paper.This part is divided into four important sections detailing the optimization based on the improved genetic algorithm automated retail warehouse business warehouse optimization,the distribution method design.including the individual chromosome coding design,fitness function design,genetic operator design and algorithm flow design.The fifth part is the development of warehouse management system,which is also one of the core sections of this paper.Taking The allocation of location as the core function,according with the system analysis,system design,system implementation,testing Evaluation,this part develops the warehouse management system.The sixth part is summary and outlook for the full text of research results.