Research On Terminal Distribution Vehicle And Installation Vehicle Scheduling Of J Company Furniture Logistics

With the continuous advancement of the e-commerce process in the furniture industry,the large-scale,non-standard and fragile characteristics of furniture products make the delivery of products face enormous challenges.Most of the furniture products need professional installation services,the operation process is complex;the product variety is diverse,it is difficult to form a standardized operation;the customer needs are diverse and the location is scattered;the distribution and installation can not be effectively integrated,etc.,the end of the furniture logistics delivery link becomes the target of customer complaints,based on In the above background,how to effectively organize the end of distribution and installation of furniture logistics is essential.Based on the analysis of the current situation of J company's furniture logistics operation,through the statistical analysis of historical order data,the specific problems existing in J's current terminal distribution and installation are obtained,and the distribution and installation vehicle scheduling is analyzed in combination with the furniture distribution and installation process.Rationality is the main reason for the difficulty in the distribution and installation of furniture logistics.Through combing,summarizing and summarizing the literatures on vehicle scheduling problems at home and abroad,it is less research and valuable to study the vehicle scheduling problems that need to be provided by different vehicles and different requirements are required.On the basis of the research of related scholars,combined with the actual operation scene of the end-of-sale distribution and installation of furniture logistics,considering the three service modes of distribution only,installation,distribution and installation separation,the construction of the distribution with time window is considered.The distribution and installation vehicle scheduling model with service time and service order constraints is applied.The shortcomings of the genetic algorithm are not strong.The nested particle swarm optimization algorithm is designed as a hybrid algorithm for genetic operators and is programmed by Matlab platform for problem solving.In order to verify the validity of the model,the actual order data of J company's self-operated outlets in Beijing was selected for case verification.The results show that the distribution and installation of the vehicle scheduling model can effectively reduce the number of vehicles used and increase the vehicle full load rate.At the same time,the door-to-door time rate can be significantly improved.Coordination with the distribution and installation of the vehicle,thereby indicating the practicality of the distribution and installation of the vehicle scheduling,model at the end of the furniture logistics and the effectiveness of the particle swarm-genetic algorithm.At the same time,through the comparative analysis of different models,a comprehensive use of a variety of models can further improve the vehicle full load rate,reduce distribution and installation costs;can be obtained in the comparative analysis of service levels,with little increase in cost In the case of setting a higher service level,the customer experience can be improved,thereby enhancing J's industry competitiveness,resulting in an increase in business volume and revenue,in order to provide a basis for decision-making for further development planning of J company furniture distribution and installation operations.The full text has 32figures,19 tables,and 55 references.