Study On The Optimization Of The Whole Process Of In-Store Footwear Products In D E-Commerce Platform

With the rapid development of e-commerce in China,the volume of online shopping transactions has been increasing every year.While customers enjoy the convenience of online shopping,they also have higher demands for logistics efficiency.The length of time products spend in storage is an important factor that affects logistics efficiency.Therefore,optimizing the product handling process is critical.It not only improves customer satisfaction but also helps companies reduce operating costs and enhance their competitiveness in the industry.D platform is an emerging C2B2 C trendy e-commerce platform that focuses on providing multiple differentiation services to young consumers.In recent years,with the increase in order volume and the higher customer demands for efficiency,the traditional batch operation method used in the platform’s warehouse has gradually exposed problems.This article takes the shoe products in D1 warehouse under consignment mode of D platform as the research object and uses value stream maps and other means to analyze the product handling process.The analysis reveals that there are issues with the warehouse layout and workflow,serious temporary storage waste,and high personnel allocation costs.In order to further improve the efficiency of the system,this paper conducts step-by-step research from both a single process and a complete process perspective.When optimizing the bottleneck operations,the Theory of Inventive Problem Solving(TRIZ)and the contradiction matrix method are used to propose alternate improvement solutions.The decision is made objectively,and a small hot air fan device is selected as an auxiliary tool to reduce the operation time from the original 24.89 s to12.2s.When solving the packaging and outbound work process problems,the merging method in ECRS principle is used to combine the operations and equipment of the two processes,and the on-site layout is adjusted.The resulting work time for the merged process is 45 s,a 16% decrease in the total time of the original process,and the utilization rate of the weighing and scanning equipment is improved from 31% to 98%.Building on the previous work,the single-piece flow concept in lean production is introduced,and a complete process perspective is used for the flow line design and balanced allocation of work processes.The original workstation is kept unchanged,and a multi-person parallel operation model is established to reconfigure the personnel for each process with the minimum cost objective and the production line balance rate as the constraint.The particle swarm algorithm is used to solve the model.The results show that personnel costs will be reduced by 3.91%,the balance rate is increased to85.53%,and the work-in-progress is reduced.To improve workstation performance,shorten the length of the production line,and save space resources,a multi-person shared workstation mode is introduced to improve the aforementioned model.Both the workstation and the number of workers are considered as decision variables.A model is established to find the optimal configuration scheme for workstations and personnel,and the results show that the U-shaped layout mode with three workstations not only achieves a single-piece flow of goods but also reduces personnel costs by 3.33%compared to the multi-person parallel operation mode,and reduces it by 7.12%compared to the original batch operation mode.The use rate of workstations increases by 10.91%.After proposing the above improvement solutions,to ensure the stability and standardization of the implementation of the solutions,measures such as improving warehouse Kanban management,6S management,and workflow standardization are proposed,while strengthening the normative requirements for management personnel and operators,improving the quality of employees,and cultivating the idea of continuous improvement.The number of defective goods due to environmental issues is also reduced.Finally,the Anylogic simulation software is used to build a simulation model of the complete product handling process under three modes: batch operation,multi-person parallel operation,and workstation rearrangement with a multi-person shared workstation mode.The effectiveness of the optimization solutions is verified by comparing the overall cycle time and work-in-progress storage.The simulation results show that the overall process time is reduced by 76.05%,the personnel utilization rate is improved by 10.32%,and the work-in-progress storage is reduced by 93.30%,effectively achieving the goal of reducing costs and improving efficiency.Through practical application and simulation based on the optimization methods presented in this article,it is shown that they can effectively solve the workflow problems that currently exist in D platform’s D1 warehouse,improve the efficiency of product outbound,shorten the product storage cycle,reduce waste such as waiting and inventory,and reduce operating costs.This provides reference value for workflow optimization of e-commerce platforms operating in a C2B2 C mode.