Research On Joint Order Picking And Delivery Scheduling Of New Retail Enterprises Based On Different Evaluation Indicators

With the rapid development of technologies such as the Internet and big data,new business formats and new transaction methods have gradually developed.Modern consumption has also ushered in a huge change.Traditional offline merchants have started to open online stores.Online businesses have also opened physical stores offline.When the development of traditional retail and traditional e-commerce encountered a bottleneck,a new retail model based on the Internet that is deeply integrated with online services,offline experiences,and modern logistics,which is different from the traditional retail industry,was born.This retail model is called "new retail."For new retail companies,how to coordinate online and offline business and improve customer satisfaction is particularly important.Because consumers place great importance on order fulfillment time,many new retail companies use order fulfillment time as an important evaluation indicator in the process of providing products and services to customers.This article takes a typical new retail enterprise as an example.After the orders arrive,the enterprise delivers the goods required by the consumer through operations such as picking and distribution.In this process,how the company arranges the order in the order picking stage will affect the order fulfillment time and distribution costs.The distribution strategy in the distribution stage will affect the distribution costs.Therefore,how to combine the picking and distribution scheduling is particularly important.The joint scheduling of picking and distribution enables enterprises to effectively reduce order fulfillment time within an acceptable distribution cost,thereby we can achieve the effect of reducing costs and increasing consumer satisfaction simultaneously.Based on this background,we firstly take the sum of the orders' total delivery time and total distribution cost as the evaluation index,and establish model ? and model ? based on the different calculation methods of the distribution cost of each batch;and then use the sum of the orders' total delivery time and total distribution cost as the evaluation index,model III and model IV were established based on the different calculation methods of the distribution cost of each batch.For each model,we firstly designed a genetic algorithm for joint scheduling optimization of order picking and distribution,then verified the robustness of each algorithm through numerical experiments,and compared with the results of the comparison algorithms to prove the effectiveness of the joint scheduling optimization algorithm that we proposed.